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- <h2 title="Class Imgproc" class="title">Class Imgproc</h2>
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- <li>java.lang.Object</li>
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- <pre>public class <span class="typeNameLabel">Imgproc</span>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGBRG2GRAY">COLOR_BayerGBRG2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGBRG2RGB">COLOR_BayerGBRG2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGBRG2RGB_EA">COLOR_BayerGBRG2RGB_EA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGBRG2RGB_VNG">COLOR_BayerGBRG2RGB_VNG</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGBRG2RGBA">COLOR_BayerGBRG2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGR">COLOR_BayerGR2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGR_EA">COLOR_BayerGR2BGR_EA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGR_VNG">COLOR_BayerGR2BGR_VNG</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGRA">COLOR_BayerGR2BGRA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2GRAY">COLOR_BayerGR2GRAY</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGB">COLOR_BayerGR2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGB_EA">COLOR_BayerGR2RGB_EA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGB_VNG">COLOR_BayerGR2RGB_VNG</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGBA">COLOR_BayerGR2RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2BGR">COLOR_BayerGRBG2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2BGR_EA">COLOR_BayerGRBG2BGR_EA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2BGR_VNG">COLOR_BayerGRBG2BGR_VNG</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2BGRA">COLOR_BayerGRBG2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2GRAY">COLOR_BayerGRBG2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2RGB">COLOR_BayerGRBG2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2RGB_EA">COLOR_BayerGRBG2RGB_EA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2RGB_VNG">COLOR_BayerGRBG2RGB_VNG</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGRBG2RGBA">COLOR_BayerGRBG2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGR">COLOR_BayerRG2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGR_EA">COLOR_BayerRG2BGR_EA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGR_VNG">COLOR_BayerRG2BGR_VNG</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGRA">COLOR_BayerRG2BGRA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2GRAY">COLOR_BayerRG2GRAY</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGB">COLOR_BayerRG2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGB_EA">COLOR_BayerRG2RGB_EA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGB_VNG">COLOR_BayerRG2RGB_VNG</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGBA">COLOR_BayerRG2RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2BGR">COLOR_BayerRGGB2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2BGR_EA">COLOR_BayerRGGB2BGR_EA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2BGR_VNG">COLOR_BayerRGGB2BGR_VNG</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2BGRA">COLOR_BayerRGGB2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2GRAY">COLOR_BayerRGGB2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2RGB">COLOR_BayerRGGB2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2RGB_EA">COLOR_BayerRGGB2RGB_EA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2RGB_VNG">COLOR_BayerRGGB2RGB_VNG</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRGGB2RGBA">COLOR_BayerRGGB2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGR555">COLOR_BGR2BGR555</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGR565">COLOR_BGR2BGR565</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGRA">COLOR_BGR2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2GRAY">COLOR_BGR2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HLS">COLOR_BGR2HLS</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HLS_FULL">COLOR_BGR2HLS_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HSV">COLOR_BGR2HSV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HSV_FULL">COLOR_BGR2HSV_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2Lab">COLOR_BGR2Lab</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2Luv">COLOR_BGR2Luv</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2RGB">COLOR_BGR2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2RGBA">COLOR_BGR2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2XYZ">COLOR_BGR2XYZ</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YCrCb">COLOR_BGR2YCrCb</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YUV">COLOR_BGR2YUV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YUV_I420">COLOR_BGR2YUV_I420</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YUV_IYUV">COLOR_BGR2YUV_IYUV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YUV_YV12">COLOR_BGR2YUV_YV12</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552BGR">COLOR_BGR5552BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552BGRA">COLOR_BGR5552BGRA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552GRAY">COLOR_BGR5552GRAY</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552RGB">COLOR_BGR5552RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552RGBA">COLOR_BGR5552RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652BGR">COLOR_BGR5652BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652BGRA">COLOR_BGR5652BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652GRAY">COLOR_BGR5652GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652RGB">COLOR_BGR5652RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652RGBA">COLOR_BGR5652RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR">COLOR_BGRA2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR555">COLOR_BGRA2BGR555</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR565">COLOR_BGRA2BGR565</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2GRAY">COLOR_BGRA2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2RGB">COLOR_BGRA2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2RGBA">COLOR_BGRA2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2YUV_I420">COLOR_BGRA2YUV_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2YUV_IYUV">COLOR_BGRA2YUV_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2YUV_YV12">COLOR_BGRA2YUV_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_COLORCVT_MAX">COLOR_COLORCVT_MAX</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR">COLOR_GRAY2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR555">COLOR_GRAY2BGR555</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR565">COLOR_GRAY2BGR565</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGRA">COLOR_GRAY2BGRA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2RGB">COLOR_GRAY2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2RGBA">COLOR_GRAY2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2BGR">COLOR_HLS2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2BGR_FULL">COLOR_HLS2BGR_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2RGB">COLOR_HLS2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2RGB_FULL">COLOR_HLS2RGB_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2BGR">COLOR_HSV2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2BGR_FULL">COLOR_HSV2BGR_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2RGB">COLOR_HSV2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2RGB_FULL">COLOR_HSV2RGB_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2BGR">COLOR_Lab2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2LBGR">COLOR_Lab2LBGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2LRGB">COLOR_Lab2LRGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2RGB">COLOR_Lab2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_LBGR2Lab">COLOR_LBGR2Lab</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_LBGR2Luv">COLOR_LBGR2Luv</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_LRGB2Lab">COLOR_LRGB2Lab</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_LRGB2Luv">COLOR_LRGB2Luv</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2BGR">COLOR_Luv2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2LBGR">COLOR_Luv2LBGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2LRGB">COLOR_Luv2LRGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2RGB">COLOR_Luv2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_mRGBA2RGBA">COLOR_mRGBA2RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR">COLOR_RGB2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR555">COLOR_RGB2BGR555</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR565">COLOR_RGB2BGR565</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGRA">COLOR_RGB2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2GRAY">COLOR_RGB2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HLS">COLOR_RGB2HLS</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HLS_FULL">COLOR_RGB2HLS_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HSV">COLOR_RGB2HSV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HSV_FULL">COLOR_RGB2HSV_FULL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2Lab">COLOR_RGB2Lab</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2Luv">COLOR_RGB2Luv</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2RGBA">COLOR_RGB2RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2XYZ">COLOR_RGB2XYZ</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YCrCb">COLOR_RGB2YCrCb</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YUV">COLOR_RGB2YUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YUV_I420">COLOR_RGB2YUV_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YUV_IYUV">COLOR_RGB2YUV_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YUV_YV12">COLOR_RGB2YUV_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR">COLOR_RGBA2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR555">COLOR_RGBA2BGR555</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR565">COLOR_RGBA2BGR565</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGRA">COLOR_RGBA2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2GRAY">COLOR_RGBA2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2mRGBA">COLOR_RGBA2mRGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2RGB">COLOR_RGBA2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2YUV_I420">COLOR_RGBA2YUV_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2YUV_IYUV">COLOR_RGBA2YUV_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2YUV_YV12">COLOR_RGBA2YUV_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_XYZ2BGR">COLOR_XYZ2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_XYZ2RGB">COLOR_XYZ2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YCrCb2BGR">COLOR_YCrCb2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YCrCb2RGB">COLOR_YCrCb2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR">COLOR_YUV2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_I420">COLOR_YUV2BGR_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_IYUV">COLOR_YUV2BGR_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_NV12">COLOR_YUV2BGR_NV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_NV21">COLOR_YUV2BGR_NV21</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_UYNV">COLOR_YUV2BGR_UYNV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_UYVY">COLOR_YUV2BGR_UYVY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_Y422">COLOR_YUV2BGR_Y422</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUNV">COLOR_YUV2BGR_YUNV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUY2">COLOR_YUV2BGR_YUY2</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUYV">COLOR_YUV2BGR_YUYV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YV12">COLOR_YUV2BGR_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YVYU">COLOR_YUV2BGR_YVYU</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_I420">COLOR_YUV2BGRA_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_IYUV">COLOR_YUV2BGRA_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_NV12">COLOR_YUV2BGRA_NV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_NV21">COLOR_YUV2BGRA_NV21</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_UYNV">COLOR_YUV2BGRA_UYNV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_UYVY">COLOR_YUV2BGRA_UYVY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_Y422">COLOR_YUV2BGRA_Y422</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUNV">COLOR_YUV2BGRA_YUNV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUY2">COLOR_YUV2BGRA_YUY2</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUYV">COLOR_YUV2BGRA_YUYV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YV12">COLOR_YUV2BGRA_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YVYU">COLOR_YUV2BGRA_YVYU</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_420">COLOR_YUV2GRAY_420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_I420">COLOR_YUV2GRAY_I420</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_IYUV">COLOR_YUV2GRAY_IYUV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_NV12">COLOR_YUV2GRAY_NV12</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_NV21">COLOR_YUV2GRAY_NV21</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_UYNV">COLOR_YUV2GRAY_UYNV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_UYVY">COLOR_YUV2GRAY_UYVY</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_Y422">COLOR_YUV2GRAY_Y422</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUNV">COLOR_YUV2GRAY_YUNV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUY2">COLOR_YUV2GRAY_YUY2</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUYV">COLOR_YUV2GRAY_YUYV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YV12">COLOR_YUV2GRAY_YV12</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YVYU">COLOR_YUV2GRAY_YVYU</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB">COLOR_YUV2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_I420">COLOR_YUV2RGB_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_IYUV">COLOR_YUV2RGB_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_NV12">COLOR_YUV2RGB_NV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_NV21">COLOR_YUV2RGB_NV21</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_UYNV">COLOR_YUV2RGB_UYNV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_UYVY">COLOR_YUV2RGB_UYVY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_Y422">COLOR_YUV2RGB_Y422</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUNV">COLOR_YUV2RGB_YUNV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUY2">COLOR_YUV2RGB_YUY2</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUYV">COLOR_YUV2RGB_YUYV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YV12">COLOR_YUV2RGB_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YVYU">COLOR_YUV2RGB_YVYU</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_I420">COLOR_YUV2RGBA_I420</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_IYUV">COLOR_YUV2RGBA_IYUV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_NV12">COLOR_YUV2RGBA_NV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_NV21">COLOR_YUV2RGBA_NV21</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_UYNV">COLOR_YUV2RGBA_UYNV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_UYVY">COLOR_YUV2RGBA_UYVY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_Y422">COLOR_YUV2RGBA_Y422</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUNV">COLOR_YUV2RGBA_YUNV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUY2">COLOR_YUV2RGBA_YUY2</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUYV">COLOR_YUV2RGBA_YUYV</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YV12">COLOR_YUV2RGBA_YV12</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YVYU">COLOR_YUV2RGBA_YVYU</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2BGR">COLOR_YUV420p2BGR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2BGRA">COLOR_YUV420p2BGRA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2GRAY">COLOR_YUV420p2GRAY</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2RGB">COLOR_YUV420p2RGB</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2RGBA">COLOR_YUV420p2RGBA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2BGR">COLOR_YUV420sp2BGR</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2BGRA">COLOR_YUV420sp2BGRA</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2GRAY">COLOR_YUV420sp2GRAY</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2RGB">COLOR_YUV420sp2RGB</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2RGBA">COLOR_YUV420sp2RGBA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_AUTUMN">COLORMAP_AUTUMN</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_BONE">COLORMAP_BONE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_CIVIDIS">COLORMAP_CIVIDIS</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_COOL">COLORMAP_COOL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_DEEPGREEN">COLORMAP_DEEPGREEN</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_HOT">COLORMAP_HOT</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_HSV">COLORMAP_HSV</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_INFERNO">COLORMAP_INFERNO</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_JET">COLORMAP_JET</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_MAGMA">COLORMAP_MAGMA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_OCEAN">COLORMAP_OCEAN</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_PARULA">COLORMAP_PARULA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_PINK">COLORMAP_PINK</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_PLASMA">COLORMAP_PLASMA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_RAINBOW">COLORMAP_RAINBOW</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_SPRING">COLORMAP_SPRING</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_SUMMER">COLORMAP_SUMMER</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_TURBO">COLORMAP_TURBO</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_TWILIGHT">COLORMAP_TWILIGHT</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_TWILIGHT_SHIFTED">COLORMAP_TWILIGHT_SHIFTED</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_VIRIDIS">COLORMAP_VIRIDIS</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#COLORMAP_WINTER">COLORMAP_WINTER</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CONTOURS_MATCH_I1">CONTOURS_MATCH_I1</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CONTOURS_MATCH_I2">CONTOURS_MATCH_I2</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CONTOURS_MATCH_I3">CONTOURS_MATCH_I3</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_BILATERAL">CV_BILATERAL</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_BLUR">CV_BLUR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_BLUR_NO_SCALE">CV_BLUR_NO_SCALE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_CANNY_L2_GRADIENT">CV_CANNY_L2_GRADIENT</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_CHAIN_CODE">CV_CHAIN_CODE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_CLOCKWISE">CV_CLOCKWISE</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_BHATTACHARYYA">CV_COMP_BHATTACHARYYA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_CHISQR">CV_COMP_CHISQR</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_CHISQR_ALT">CV_COMP_CHISQR_ALT</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_CORREL">CV_COMP_CORREL</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#DIST_L1">DIST_L1</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#DIST_L2">DIST_L2</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HOUGH_STANDARD">HOUGH_STANDARD</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_AREA">INTER_AREA</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_BITS">INTER_BITS</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_BITS2">INTER_BITS2</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_CUBIC">INTER_CUBIC</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_LANCZOS4">INTER_LANCZOS4</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_LINEAR">INTER_LINEAR</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_LINEAR_EXACT">INTER_LINEAR_EXACT</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_MAX">INTER_MAX</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_NEAREST">INTER_NEAREST</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_NEAREST_EXACT">INTER_NEAREST_EXACT</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_TAB_SIZE">INTER_TAB_SIZE</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTER_TAB_SIZE2">INTER_TAB_SIZE2</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTERSECT_FULL">INTERSECT_FULL</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTERSECT_NONE">INTERSECT_NONE</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#INTERSECT_PARTIAL">INTERSECT_PARTIAL</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LINE_4">LINE_4</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LINE_8">LINE_8</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LINE_AA">LINE_AA</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LSD_REFINE_ADV">LSD_REFINE_ADV</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LSD_REFINE_NONE">LSD_REFINE_NONE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#LSD_REFINE_STD">LSD_REFINE_STD</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_CROSS">MARKER_CROSS</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_DIAMOND">MARKER_DIAMOND</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_SQUARE">MARKER_SQUARE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_STAR">MARKER_STAR</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_TILTED_CROSS">MARKER_TILTED_CROSS</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_TRIANGLE_DOWN">MARKER_TRIANGLE_DOWN</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MARKER_TRIANGLE_UP">MARKER_TRIANGLE_UP</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_BLACKHAT">MORPH_BLACKHAT</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_CLOSE">MORPH_CLOSE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_CROSS">MORPH_CROSS</a></span></code> </td>
- </tr>
- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_DILATE">MORPH_DILATE</a></span></code> </td>
- </tr>
- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_ELLIPSE">MORPH_ELLIPSE</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_ERODE">MORPH_ERODE</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_GRADIENT">MORPH_GRADIENT</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_HITMISS">MORPH_HITMISS</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_OPEN">MORPH_OPEN</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_RECT">MORPH_RECT</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#MORPH_TOPHAT">MORPH_TOPHAT</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#RETR_CCOMP">RETR_CCOMP</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#RETR_EXTERNAL">RETR_EXTERNAL</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#RETR_FLOODFILL">RETR_FLOODFILL</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#RETR_LIST">RETR_LIST</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#RETR_TREE">RETR_TREE</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_BINARY">THRESH_BINARY</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_BINARY_INV">THRESH_BINARY_INV</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_MASK">THRESH_MASK</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_OTSU">THRESH_OTSU</a></span></code> </td>
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- <tr class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_TOZERO">THRESH_TOZERO</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_TOZERO_INV">THRESH_TOZERO_INV</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_TRIANGLE">THRESH_TRIANGLE</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#THRESH_TRUNC">THRESH_TRUNC</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#TM_CCOEFF_NORMED">TM_CCOEFF_NORMED</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#TM_CCORR">TM_CCORR</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#TM_CCORR_NORMED">TM_CCORR_NORMED</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#TM_SQDIFF">TM_SQDIFF</a></span></code> </td>
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- <tr class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#TM_SQDIFF_NORMED">TM_SQDIFF_NORMED</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#WARP_FILL_OUTLIERS">WARP_FILL_OUTLIERS</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#WARP_INVERSE_MAP">WARP_INVERSE_MAP</a></span></code> </td>
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- <td class="colFirst"><code>static int</code></td>
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- <td class="colFirst"><code>static int</code></td>
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- <h3>Constructor Summary</h3>
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- <caption><span>Constructors</span><span class="tabEnd"> </span></caption>
- <tr>
- <th class="colOne" scope="col">Constructor and Description</th>
- </tr>
- <tr class="altColor">
- <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Imgproc--">Imgproc</a></span>()</code> </td>
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- <h3>Method Summary</h3>
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- <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption>
- <tr>
- <th class="colFirst" scope="col">Modifier and Type</th>
- <th class="colLast" scope="col">Method and Description</th>
- </tr>
- <tr id="i0" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulate-org.opencv.core.Mat-org.opencv.core.Mat-">accumulate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Adds an image to the accumulator image.</div>
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- </tr>
- <tr id="i1" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">accumulate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Adds an image to the accumulator image.</div>
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- </tr>
- <tr id="i2" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">accumulateProduct</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Adds the per-element product of two input images to the accumulator image.</div>
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- <tr id="i3" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">accumulateProduct</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Adds the per-element product of two input images to the accumulator image.</div>
- </td>
- </tr>
- <tr id="i4" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare-org.opencv.core.Mat-org.opencv.core.Mat-">accumulateSquare</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Adds the square of a source image to the accumulator image.</div>
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- </tr>
- <tr id="i5" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">accumulateSquare</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Adds the square of a source image to the accumulator image.</div>
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- </tr>
- <tr id="i6" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted-org.opencv.core.Mat-org.opencv.core.Mat-double-">accumulateWeighted</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double alpha)</code>
- <div class="block">Updates a running average.</div>
- </td>
- </tr>
- <tr id="i7" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted-org.opencv.core.Mat-org.opencv.core.Mat-double-org.opencv.core.Mat-">accumulateWeighted</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double alpha,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Updates a running average.</div>
- </td>
- </tr>
- <tr id="i8" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#adaptiveThreshold-org.opencv.core.Mat-org.opencv.core.Mat-double-int-int-int-double-">adaptiveThreshold</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double maxValue,
- int adaptiveMethod,
- int thresholdType,
- int blockSize,
- double C)</code>
- <div class="block">Applies an adaptive threshold to an array.</div>
- </td>
- </tr>
- <tr id="i9" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#applyColorMap-org.opencv.core.Mat-org.opencv.core.Mat-int-">applyColorMap</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int colormap)</code>
- <div class="block">Applies a GNU Octave/MATLAB equivalent colormap on a given image.</div>
- </td>
- </tr>
- <tr id="i10" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#applyColorMap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">applyColorMap</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> userColor)</code>
- <div class="block">Applies a user colormap on a given image.</div>
- </td>
- </tr>
- <tr id="i11" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#approxPolyDP-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-double-boolean-">approxPolyDP</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> curve,
- <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> approxCurve,
- double epsilon,
- boolean closed)</code>
- <div class="block">Approximates a polygonal curve(s) with the specified precision.</div>
- </td>
- </tr>
- <tr id="i12" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arcLength-org.opencv.core.MatOfPoint2f-boolean-">arcLength</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> curve,
- boolean closed)</code>
- <div class="block">Calculates a contour perimeter or a curve length.</div>
- </td>
- </tr>
- <tr id="i13" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">arrowedLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.</div>
- </td>
- </tr>
- <tr id="i14" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">arrowedLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.</div>
- </td>
- </tr>
- <tr id="i15" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">arrowedLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type)</code>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.</div>
- </td>
- </tr>
- <tr id="i16" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">arrowedLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type,
- int shift)</code>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.</div>
- </td>
- </tr>
- <tr id="i17" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-double-">arrowedLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type,
- int shift,
- double tipLength)</code>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.</div>
- </td>
- </tr>
- <tr id="i18" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-">bilateralFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int d,
- double sigmaColor,
- double sigmaSpace)</code>
- <div class="block">Applies the bilateral filter to an image.</div>
- </td>
- </tr>
- <tr id="i19" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-int-">bilateralFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int d,
- double sigmaColor,
- double sigmaSpace,
- int borderType)</code>
- <div class="block">Applies the bilateral filter to an image.</div>
- </td>
- </tr>
- <tr id="i20" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#blendLinear-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">blendLinear</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> weights1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> weights2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">variant without <code>mask</code> parameter</div>
- </td>
- </tr>
- <tr id="i21" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">blur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</code>
- <div class="block">Blurs an image using the normalized box filter.</div>
- </td>
- </tr>
- <tr id="i22" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-">blur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Blurs an image using the normalized box filter.</div>
- </td>
- </tr>
- <tr id="i23" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-int-">blur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int borderType)</code>
- <div class="block">Blurs an image using the normalized box filter.</div>
- </td>
- </tr>
- <tr id="i24" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boundingRect-org.opencv.core.Mat-">boundingRect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array)</code>
- <div class="block">Calculates the up-right bounding rectangle of a point set or non-zero pixels of gray-scale image.</div>
- </td>
- </tr>
- <tr id="i25" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-">boxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</code>
- <div class="block">Blurs an image using the box filter.</div>
- </td>
- </tr>
- <tr id="i26" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-">boxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Blurs an image using the box filter.</div>
- </td>
- </tr>
- <tr id="i27" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-">boxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize)</code>
- <div class="block">Blurs an image using the box filter.</div>
- </td>
- </tr>
- <tr id="i28" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-int-">boxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize,
- int borderType)</code>
- <div class="block">Blurs an image using the box filter.</div>
- </td>
- </tr>
- <tr id="i29" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#boxPoints-org.opencv.core.RotatedRect-org.opencv.core.Mat-">boxPoints</a></span>(<a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</code>
- <div class="block">Finds the four vertices of a rotated rect.</div>
- </td>
- </tr>
- <tr id="i30" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#calcBackProject-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-double-">calcBackProject</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges,
- double scale)</code> </td>
- </tr>
- <tr id="i31" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#calcHist-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfInt-org.opencv.core.MatOfFloat-">calcHist</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> histSize,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges)</code>
- <div class="block">this variant supports only uniform histograms.</div>
- </td>
- </tr>
- <tr id="i32" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#calcHist-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfInt-org.opencv.core.MatOfFloat-boolean-">calcHist</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> histSize,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges,
- boolean accumulate)</code>
- <div class="block">this variant supports only uniform histograms.</div>
- </td>
- </tr>
- <tr id="i33" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Canny-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">Canny</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2)</code>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .</div>
- </td>
- </tr>
- <tr id="i34" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Canny-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">Canny</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- int apertureSize)</code>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .</div>
- </td>
- </tr>
- <tr id="i35" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Canny-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-boolean-">Canny</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- int apertureSize,
- boolean L2gradient)</code>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .</div>
- </td>
- </tr>
- <tr id="i36" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Canny-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">Canny</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2)</code>
- <div class="block">\overload
- Finds edges in an image using the Canny algorithm with custom image gradient.</div>
- </td>
- </tr>
- <tr id="i37" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Canny-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-double-boolean-">Canny</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- boolean L2gradient)</code>
- <div class="block">\overload
- Finds edges in an image using the Canny algorithm with custom image gradient.</div>
- </td>
- </tr>
- <tr id="i38" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-">circle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a circle.</div>
- </td>
- </tr>
- <tr id="i39" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-">circle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws a circle.</div>
- </td>
- </tr>
- <tr id="i40" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-int-">circle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws a circle.</div>
- </td>
- </tr>
- <tr id="i41" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-int-int-">circle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">Draws a circle.</div>
- </td>
- </tr>
- <tr id="i42" class="altColor">
- <td class="colFirst"><code>static boolean</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#clipLine-org.opencv.core.Rect-org.opencv.core.Point-org.opencv.core.Point-">clipLine</a></span>(<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> imgRect,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2)</code> </td>
- </tr>
- <tr id="i43" class="rowColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#compareHist-org.opencv.core.Mat-org.opencv.core.Mat-int-">compareHist</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> H1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> H2,
- int method)</code>
- <div class="block">Compares two histograms.</div>
- </td>
- </tr>
- <tr id="i44" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponents-org.opencv.core.Mat-org.opencv.core.Mat-">connectedComponents</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels)</code> </td>
- </tr>
- <tr id="i45" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponents-org.opencv.core.Mat-org.opencv.core.Mat-int-">connectedComponents</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity)</code> </td>
- </tr>
- <tr id="i46" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponents-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">connectedComponents</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity,
- int ltype)</code> </td>
- </tr>
- <tr id="i47" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponentsWithAlgorithm-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">connectedComponentsWithAlgorithm</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity,
- int ltype,
- int ccltype)</code>
- <div class="block">computes the connected components labeled image of boolean image
- image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0
- represents the background label.</div>
- </td>
- </tr>
- <tr id="i48" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">connectedComponentsWithStats</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids)</code> </td>
- </tr>
- <tr id="i49" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">connectedComponentsWithStats</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity)</code> </td>
- </tr>
- <tr id="i50" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">connectedComponentsWithStats</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity,
- int ltype)</code> </td>
- </tr>
- <tr id="i51" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#connectedComponentsWithStatsWithAlgorithm-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">connectedComponentsWithStatsWithAlgorithm</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity,
- int ltype,
- int ccltype)</code>
- <div class="block">computes the connected components labeled image of boolean image and also produces a statistics output for each label
- image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0
- represents the background label.</div>
- </td>
- </tr>
- <tr id="i52" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#contourArea-org.opencv.core.Mat-">contourArea</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour)</code>
- <div class="block">Calculates a contour area.</div>
- </td>
- </tr>
- <tr id="i53" class="rowColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#contourArea-org.opencv.core.Mat-boolean-">contourArea</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour,
- boolean oriented)</code>
- <div class="block">Calculates a contour area.</div>
- </td>
- </tr>
- <tr id="i54" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#convertMaps-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">convertMaps</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap2,
- int dstmap1type)</code>
- <div class="block">Converts image transformation maps from one representation to another.</div>
- </td>
- </tr>
- <tr id="i55" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#convertMaps-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-boolean-">convertMaps</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap2,
- int dstmap1type,
- boolean nninterpolation)</code>
- <div class="block">Converts image transformation maps from one representation to another.</div>
- </td>
- </tr>
- <tr id="i56" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#convexHull-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-">convexHull</a></span>(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> hull)</code>
- <div class="block">Finds the convex hull of a point set.</div>
- </td>
- </tr>
- <tr id="i57" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#convexHull-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-boolean-">convexHull</a></span>(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> hull,
- boolean clockwise)</code>
- <div class="block">Finds the convex hull of a point set.</div>
- </td>
- </tr>
- <tr id="i58" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#convexityDefects-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-org.opencv.core.MatOfInt4-">convexityDefects</a></span>(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> contour,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> convexhull,
- <a href="../../../org/opencv/core/MatOfInt4.html" title="class in org.opencv.core">MatOfInt4</a> convexityDefects)</code>
- <div class="block">Finds the convexity defects of a contour.</div>
- </td>
- </tr>
- <tr id="i59" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerEigenValsAndVecs-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">cornerEigenValsAndVecs</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize)</code>
- <div class="block">Calculates eigenvalues and eigenvectors of image blocks for corner detection.</div>
- </td>
- </tr>
- <tr id="i60" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerEigenValsAndVecs-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">cornerEigenValsAndVecs</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- int borderType)</code>
- <div class="block">Calculates eigenvalues and eigenvectors of image blocks for corner detection.</div>
- </td>
- </tr>
- <tr id="i61" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerHarris-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-">cornerHarris</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- double k)</code>
- <div class="block">Harris corner detector.</div>
- </td>
- </tr>
- <tr id="i62" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerHarris-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-int-">cornerHarris</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- double k,
- int borderType)</code>
- <div class="block">Harris corner detector.</div>
- </td>
- </tr>
- <tr id="i63" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal-org.opencv.core.Mat-org.opencv.core.Mat-int-">cornerMinEigenVal</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize)</code>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.</div>
- </td>
- </tr>
- <tr id="i64" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">cornerMinEigenVal</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize)</code>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.</div>
- </td>
- </tr>
- <tr id="i65" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">cornerMinEigenVal</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- int borderType)</code>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.</div>
- </td>
- </tr>
- <tr id="i66" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cornerSubPix-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Size-org.opencv.core.TermCriteria-">cornerSubPix</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> zeroZone,
- <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</code>
- <div class="block">Refines the corner locations.</div>
- </td>
- </tr>
- <tr id="i67" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createCLAHE--">createCLAHE</a></span>()</code>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.</div>
- </td>
- </tr>
- <tr id="i68" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createCLAHE-double-">createCLAHE</a></span>(double clipLimit)</code>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.</div>
- </td>
- </tr>
- <tr id="i69" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createCLAHE-double-org.opencv.core.Size-">createCLAHE</a></span>(double clipLimit,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> tileGridSize)</code>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.</div>
- </td>
- </tr>
- <tr id="i70" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/GeneralizedHoughBallard.html" title="class in org.opencv.imgproc">GeneralizedHoughBallard</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createGeneralizedHoughBallard--">createGeneralizedHoughBallard</a></span>()</code>
- <div class="block">Creates a smart pointer to a cv::GeneralizedHoughBallard class and initializes it.</div>
- </td>
- </tr>
- <tr id="i71" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/GeneralizedHoughGuil.html" title="class in org.opencv.imgproc">GeneralizedHoughGuil</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createGeneralizedHoughGuil--">createGeneralizedHoughGuil</a></span>()</code>
- <div class="block">Creates a smart pointer to a cv::GeneralizedHoughGuil class and initializes it.</div>
- </td>
- </tr>
- <tr id="i72" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createHanningWindow-org.opencv.core.Mat-org.opencv.core.Size-int-">createHanningWindow</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
- int type)</code>
- <div class="block">This function computes a Hanning window coefficients in two dimensions.</div>
- </td>
- </tr>
- <tr id="i73" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector--">createLineSegmentDetector</a></span>()</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i74" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-">createLineSegmentDetector</a></span>(int refine)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i75" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-">createLineSegmentDetector</a></span>(int refine,
- double scale)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i76" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i77" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-double-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale,
- double quant)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i78" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-double-double-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i79" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-double-double-double-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i80" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-double-double-double-double-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps,
- double density_th)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i81" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#createLineSegmentDetector-int-double-double-double-double-double-double-int-">createLineSegmentDetector</a></span>(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps,
- double density_th,
- int n_bins)</code>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.</div>
- </td>
- </tr>
- <tr id="i82" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cvtColor-org.opencv.core.Mat-org.opencv.core.Mat-int-">cvtColor</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</code>
- <div class="block">Converts an image from one color space to another.</div>
- </td>
- </tr>
- <tr id="i83" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cvtColor-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">cvtColor</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code,
- int dstCn)</code>
- <div class="block">Converts an image from one color space to another.</div>
- </td>
- </tr>
- <tr id="i84" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#cvtColorTwoPlane-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">cvtColorTwoPlane</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</code>
- <div class="block">Converts an image from one color space to another where the source image is
- stored in two planes.</div>
- </td>
- </tr>
- <tr id="i85" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#demosaicing-org.opencv.core.Mat-org.opencv.core.Mat-int-">demosaicing</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</code>
- <div class="block">main function for all demosaicing processes</div>
- </td>
- </tr>
- <tr id="i86" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#demosaicing-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">demosaicing</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code,
- int dstCn)</code>
- <div class="block">main function for all demosaicing processes</div>
- </td>
- </tr>
- <tr id="i87" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">dilate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</code>
- <div class="block">Dilates an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i88" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">dilate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Dilates an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i89" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-">dilate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</code>
- <div class="block">Dilates an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i90" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-">dilate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</code>
- <div class="block">Dilates an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i91" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">dilate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</code>
- <div class="block">Dilates an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i92" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#distanceTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">distanceTransform</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int distanceType,
- int maskSize)</code> </td>
- </tr>
- <tr id="i93" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#distanceTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">distanceTransform</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int distanceType,
- int maskSize,
- int dstType)</code> </td>
- </tr>
- <tr id="i94" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#distanceTransformWithLabels-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">distanceTransformWithLabels</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int distanceType,
- int maskSize)</code>
- <div class="block">Calculates the distance to the closest zero pixel for each pixel of the source image.</div>
- </td>
- </tr>
- <tr id="i95" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#distanceTransformWithLabels-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">distanceTransformWithLabels</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int distanceType,
- int maskSize,
- int labelType)</code>
- <div class="block">Calculates the distance to the closest zero pixel for each pixel of the source image.</div>
- </td>
- </tr>
- <tr id="i96" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#divSpectrums-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">divSpectrums</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> a,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> b,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> c,
- int flags)</code>
- <div class="block">Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.</div>
- </td>
- </tr>
- <tr id="i97" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#divSpectrums-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-boolean-">divSpectrums</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> a,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> b,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> c,
- int flags,
- boolean conjB)</code>
- <div class="block">Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.</div>
- </td>
- </tr>
- <tr id="i98" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i99" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i100" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i101" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i102" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-int-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int maxLevel)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i103" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-int-org.opencv.core.Point-">drawContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int maxLevel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</code>
- <div class="block">Draws contours outlines or filled contours.</div>
- </td>
- </tr>
- <tr id="i104" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-">drawMarker</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a marker on a predefined position in an image.</div>
- </td>
- </tr>
- <tr id="i105" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-">drawMarker</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType)</code>
- <div class="block">Draws a marker on a predefined position in an image.</div>
- </td>
- </tr>
- <tr id="i106" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">drawMarker</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize)</code>
- <div class="block">Draws a marker on a predefined position in an image.</div>
- </td>
- </tr>
- <tr id="i107" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">drawMarker</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize,
- int thickness)</code>
- <div class="block">Draws a marker on a predefined position in an image.</div>
- </td>
- </tr>
- <tr id="i108" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-int-">drawMarker</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize,
- int thickness,
- int line_type)</code>
- <div class="block">Draws a marker on a predefined position in an image.</div>
- </td>
- </tr>
- <tr id="i109" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.</div>
- </td>
- </tr>
- <tr id="i110" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.</div>
- </td>
- </tr>
- <tr id="i111" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-int-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.</div>
- </td>
- </tr>
- <tr id="i112" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-int-int-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.</div>
- </td>
- </tr>
- <tr id="i113" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code> </td>
- </tr>
- <tr id="i114" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-int-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code> </td>
- </tr>
- <tr id="i115" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-int-int-">ellipse</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code> </td>
- </tr>
- <tr id="i116" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#ellipse2Poly-org.opencv.core.Point-org.opencv.core.Size-int-int-int-int-org.opencv.core.MatOfPoint-">ellipse2Poly</a></span>(<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- int angle,
- int arcStart,
- int arcEnd,
- int delta,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> pts)</code>
- <div class="block">Approximates an elliptic arc with a polyline.</div>
- </td>
- </tr>
- <tr id="i117" class="rowColor">
- <td class="colFirst"><code>static float</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-">EMD</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType)</code>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.</div>
- </td>
- </tr>
- <tr id="i118" class="altColor">
- <td class="colFirst"><code>static float</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">EMD</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cost)</code>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.</div>
- </td>
- </tr>
- <tr id="i119" class="rowColor">
- <td class="colFirst"><code>static float</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-">EMD</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cost,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow)</code>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.</div>
- </td>
- </tr>
- <tr id="i120" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#equalizeHist-org.opencv.core.Mat-org.opencv.core.Mat-">equalizeHist</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Equalizes the histogram of a grayscale image.</div>
- </td>
- </tr>
- <tr id="i121" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">erode</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</code>
- <div class="block">Erodes an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i122" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">erode</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Erodes an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i123" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-">erode</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</code>
- <div class="block">Erodes an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i124" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-">erode</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</code>
- <div class="block">Erodes an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i125" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">erode</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</code>
- <div class="block">Erodes an image by using a specific structuring element.</div>
- </td>
- </tr>
- <tr id="i126" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-">fillConvexPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Fills a convex polygon.</div>
- </td>
- </tr>
- <tr id="i127" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-int-">fillConvexPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType)</code>
- <div class="block">Fills a convex polygon.</div>
- </td>
- </tr>
- <tr id="i128" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-int-int-">fillConvexPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift)</code>
- <div class="block">Fills a convex polygon.</div>
- </td>
- </tr>
- <tr id="i129" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-">fillPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Fills the area bounded by one or more polygons.</div>
- </td>
- </tr>
- <tr id="i130" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-">fillPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType)</code>
- <div class="block">Fills the area bounded by one or more polygons.</div>
- </td>
- </tr>
- <tr id="i131" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-int-">fillPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift)</code>
- <div class="block">Fills the area bounded by one or more polygons.</div>
- </td>
- </tr>
- <tr id="i132" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-int-org.opencv.core.Point-">fillPoly</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</code>
- <div class="block">Fills the area bounded by one or more polygons.</div>
- </td>
- </tr>
- <tr id="i133" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">filter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</code>
- <div class="block">Convolves an image with the kernel.</div>
- </td>
- </tr>
- <tr id="i134" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-">filter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Convolves an image with the kernel.</div>
- </td>
- </tr>
- <tr id="i135" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-double-">filter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta)</code>
- <div class="block">Convolves an image with the kernel.</div>
- </td>
- </tr>
- <tr id="i136" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-double-int-">filter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta,
- int borderType)</code>
- <div class="block">Convolves an image with the kernel.</div>
- </td>
- </tr>
- <tr id="i137" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#findContours-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-int-int-">findContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int mode,
- int method)</code>
- <div class="block">Finds contours in a binary image.</div>
- </td>
- </tr>
- <tr id="i138" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#findContours-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.Point-">findContours</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int mode,
- int method,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</code>
- <div class="block">Finds contours in a binary image.</div>
- </td>
- </tr>
- <tr id="i139" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fitEllipse-org.opencv.core.MatOfPoint2f-">fitEllipse</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points)</code>
- <div class="block">Fits an ellipse around a set of 2D points.</div>
- </td>
- </tr>
- <tr id="i140" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fitEllipseAMS-org.opencv.core.Mat-">fitEllipseAMS</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</code>
- <div class="block">Fits an ellipse around a set of 2D points.</div>
- </td>
- </tr>
- <tr id="i141" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fitEllipseDirect-org.opencv.core.Mat-">fitEllipseDirect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</code>
- <div class="block">Fits an ellipse around a set of 2D points.</div>
- </td>
- </tr>
- <tr id="i142" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#fitLine-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-">fitLine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> line,
- int distType,
- double param,
- double reps,
- double aeps)</code>
- <div class="block">Fits a line to a 2D or 3D point set.</div>
- </td>
- </tr>
- <tr id="i143" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-">floodFill</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal)</code>
- <div class="block">Fills a connected component with the given color.</div>
- </td>
- </tr>
- <tr id="i144" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-">floodFill</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect)</code>
- <div class="block">Fills a connected component with the given color.</div>
- </td>
- </tr>
- <tr id="i145" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-">floodFill</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff)</code>
- <div class="block">Fills a connected component with the given color.</div>
- </td>
- </tr>
- <tr id="i146" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-org.opencv.core.Scalar-">floodFill</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> upDiff)</code>
- <div class="block">Fills a connected component with the given color.</div>
- </td>
- </tr>
- <tr id="i147" class="rowColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-org.opencv.core.Scalar-int-">floodFill</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> upDiff,
- int flags)</code>
- <div class="block">Fills a connected component with the given color.</div>
- </td>
- </tr>
- <tr id="i148" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-">GaussianBlur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX)</code>
- <div class="block">Blurs an image using a Gaussian filter.</div>
- </td>
- </tr>
- <tr id="i149" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-">GaussianBlur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX,
- double sigmaY)</code>
- <div class="block">Blurs an image using a Gaussian filter.</div>
- </td>
- </tr>
- <tr id="i150" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-int-">GaussianBlur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX,
- double sigmaY,
- int borderType)</code>
- <div class="block">Blurs an image using a Gaussian filter.</div>
- </td>
- </tr>
- <tr id="i151" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getAffineTransform-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-">getAffineTransform</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> src,
- <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> dst)</code> </td>
- </tr>
- <tr id="i152" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">getDerivKernels</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize)</code>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.</div>
- </td>
- </tr>
- <tr id="i153" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-boolean-">getDerivKernels</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize,
- boolean normalize)</code>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.</div>
- </td>
- </tr>
- <tr id="i154" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-boolean-int-">getDerivKernels</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize,
- boolean normalize,
- int ktype)</code>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.</div>
- </td>
- </tr>
- <tr id="i155" class="rowColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getFontScaleFromHeight-int-int-">getFontScaleFromHeight</a></span>(int fontFace,
- int pixelHeight)</code>
- <div class="block">Calculates the font-specific size to use to achieve a given height in pixels.</div>
- </td>
- </tr>
- <tr id="i156" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getFontScaleFromHeight-int-int-int-">getFontScaleFromHeight</a></span>(int fontFace,
- int pixelHeight,
- int thickness)</code>
- <div class="block">Calculates the font-specific size to use to achieve a given height in pixels.</div>
- </td>
- </tr>
- <tr id="i157" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getGaborKernel-org.opencv.core.Size-double-double-double-double-">getGaborKernel</a></span>(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma)</code>
- <div class="block">Returns Gabor filter coefficients.</div>
- </td>
- </tr>
- <tr id="i158" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getGaborKernel-org.opencv.core.Size-double-double-double-double-double-">getGaborKernel</a></span>(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma,
- double psi)</code>
- <div class="block">Returns Gabor filter coefficients.</div>
- </td>
- </tr>
- <tr id="i159" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getGaborKernel-org.opencv.core.Size-double-double-double-double-double-int-">getGaborKernel</a></span>(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma,
- double psi,
- int ktype)</code>
- <div class="block">Returns Gabor filter coefficients.</div>
- </td>
- </tr>
- <tr id="i160" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getGaussianKernel-int-double-">getGaussianKernel</a></span>(int ksize,
- double sigma)</code>
- <div class="block">Returns Gaussian filter coefficients.</div>
- </td>
- </tr>
- <tr id="i161" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getGaussianKernel-int-double-int-">getGaussianKernel</a></span>(int ksize,
- double sigma,
- int ktype)</code>
- <div class="block">Returns Gaussian filter coefficients.</div>
- </td>
- </tr>
- <tr id="i162" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getPerspectiveTransform-org.opencv.core.Mat-org.opencv.core.Mat-">getPerspectiveTransform</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Calculates a perspective transform from four pairs of the corresponding points.</div>
- </td>
- </tr>
- <tr id="i163" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getPerspectiveTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-">getPerspectiveTransform</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int solveMethod)</code>
- <div class="block">Calculates a perspective transform from four pairs of the corresponding points.</div>
- </td>
- </tr>
- <tr id="i164" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-org.opencv.core.Mat-">getRectSubPix</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> patchSize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> patch)</code>
- <div class="block">Retrieves a pixel rectangle from an image with sub-pixel accuracy.</div>
- </td>
- </tr>
- <tr id="i165" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-org.opencv.core.Mat-int-">getRectSubPix</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> patchSize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> patch,
- int patchType)</code>
- <div class="block">Retrieves a pixel rectangle from an image with sub-pixel accuracy.</div>
- </td>
- </tr>
- <tr id="i166" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getRotationMatrix2D-org.opencv.core.Point-double-double-">getRotationMatrix2D</a></span>(<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- double angle,
- double scale)</code>
- <div class="block">Calculates an affine matrix of 2D rotation.</div>
- </td>
- </tr>
- <tr id="i167" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement-int-org.opencv.core.Size-">getStructuringElement</a></span>(int shape,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</code>
- <div class="block">Returns a structuring element of the specified size and shape for morphological operations.</div>
- </td>
- </tr>
- <tr id="i168" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement-int-org.opencv.core.Size-org.opencv.core.Point-">getStructuringElement</a></span>(int shape,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Returns a structuring element of the specified size and shape for morphological operations.</div>
- </td>
- </tr>
- <tr id="i169" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#getTextSize-java.lang.String-int-double-int-int:A-">getTextSize</a></span>(java.lang.String text,
- int fontFace,
- double fontScale,
- int thickness,
- int[] baseLine)</code> </td>
- </tr>
- <tr id="i170" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance)</code>
- <div class="block">Determines strong corners on an image.</div>
- </td>
- </tr>
- <tr id="i171" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Determines strong corners on an image.</div>
- </td>
- </tr>
- <tr id="i172" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize)</code>
- <div class="block">Determines strong corners on an image.</div>
- </td>
- </tr>
- <tr id="i173" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-boolean-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- boolean useHarrisDetector)</code>
- <div class="block">Determines strong corners on an image.</div>
- </td>
- </tr>
- <tr id="i174" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-boolean-double-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- boolean useHarrisDetector,
- double k)</code>
- <div class="block">Determines strong corners on an image.</div>
- </td>
- </tr>
- <tr id="i175" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize)</code> </td>
- </tr>
- <tr id="i176" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-boolean-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector)</code> </td>
- </tr>
- <tr id="i177" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-boolean-double-">goodFeaturesToTrack</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector,
- double k)</code> </td>
- </tr>
- <tr id="i178" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-">goodFeaturesToTrackWithQuality</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality)</code>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- </td>
- </tr>
- <tr id="i179" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-">goodFeaturesToTrackWithQuality</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize)</code>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- </td>
- </tr>
- <tr id="i180" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">goodFeaturesToTrackWithQuality</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize)</code>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- </td>
- </tr>
- <tr id="i181" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-boolean-">goodFeaturesToTrackWithQuality</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector)</code>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- </td>
- </tr>
- <tr id="i182" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-boolean-double-">goodFeaturesToTrackWithQuality</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector,
- double k)</code>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- </td>
- </tr>
- <tr id="i183" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#grabCut-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Mat-org.opencv.core.Mat-int-">grabCut</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> bgdModel,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> fgdModel,
- int iterCount)</code>
- <div class="block">Runs the GrabCut algorithm.</div>
- </td>
- </tr>
- <tr id="i184" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#grabCut-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">grabCut</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> bgdModel,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> fgdModel,
- int iterCount,
- int mode)</code>
- <div class="block">Runs the GrabCut algorithm.</div>
- </td>
- </tr>
- <tr id="i185" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-">HoughCircles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist)</code>
- <div class="block">Finds circles in a grayscale image using the Hough transform.</div>
- </td>
- </tr>
- <tr id="i186" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-">HoughCircles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1)</code>
- <div class="block">Finds circles in a grayscale image using the Hough transform.</div>
- </td>
- </tr>
- <tr id="i187" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-">HoughCircles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2)</code>
- <div class="block">Finds circles in a grayscale image using the Hough transform.</div>
- </td>
- </tr>
- <tr id="i188" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-int-">HoughCircles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2,
- int minRadius)</code>
- <div class="block">Finds circles in a grayscale image using the Hough transform.</div>
- </td>
- </tr>
- <tr id="i189" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-int-int-">HoughCircles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2,
- int minRadius,
- int maxRadius)</code>
- <div class="block">Finds circles in a grayscale image using the Hough transform.</div>
- </td>
- </tr>
- <tr id="i190" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">HoughLines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i191" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">HoughLines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i192" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">HoughLines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i193" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-">HoughLines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i194" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-double-">HoughLines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta,
- double max_theta)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i195" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">HoughLinesP</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</code>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.</div>
- </td>
- </tr>
- <tr id="i196" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">HoughLinesP</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double minLineLength)</code>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.</div>
- </td>
- </tr>
- <tr id="i197" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">HoughLinesP</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double minLineLength,
- double maxLineGap)</code>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.</div>
- </td>
- </tr>
- <tr id="i198" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesPointSet-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-double-double-double-double-double-">HoughLinesPointSet</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> point,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- int lines_max,
- int threshold,
- double min_rho,
- double max_rho,
- double rho_step,
- double min_theta,
- double max_theta,
- double theta_step)</code>
- <div class="block">Finds lines in a set of points using the standard Hough transform.</div>
- </td>
- </tr>
- <tr id="i199" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">HoughLinesWithAccumulator</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.</div>
- </td>
- </tr>
- <tr id="i200" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">HoughLinesWithAccumulator</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.</div>
- </td>
- </tr>
- <tr id="i201" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">HoughLinesWithAccumulator</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.</div>
- </td>
- </tr>
- <tr id="i202" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-">HoughLinesWithAccumulator</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.</div>
- </td>
- </tr>
- <tr id="i203" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-double-">HoughLinesWithAccumulator</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta,
- double max_theta)</code>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.</div>
- </td>
- </tr>
- <tr id="i204" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#HuMoments-org.opencv.imgproc.Moments-org.opencv.core.Mat-">HuMoments</a></span>(<a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a> m,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hu)</code> </td>
- </tr>
- <tr id="i205" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral-org.opencv.core.Mat-org.opencv.core.Mat-">integral</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum)</code> </td>
- </tr>
- <tr id="i206" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral-org.opencv.core.Mat-org.opencv.core.Mat-int-">integral</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- int sdepth)</code> </td>
- </tr>
- <tr id="i207" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">integral2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum)</code> </td>
- </tr>
- <tr id="i208" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">integral2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- int sdepth)</code> </td>
- </tr>
- <tr id="i209" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">integral2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- int sdepth,
- int sqdepth)</code> </td>
- </tr>
- <tr id="i210" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">integral3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted)</code>
- <div class="block">Calculates the integral of an image.</div>
- </td>
- </tr>
- <tr id="i211" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">integral3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted,
- int sdepth)</code>
- <div class="block">Calculates the integral of an image.</div>
- </td>
- </tr>
- <tr id="i212" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">integral3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted,
- int sdepth,
- int sqdepth)</code>
- <div class="block">Calculates the integral of an image.</div>
- </td>
- </tr>
- <tr id="i213" class="rowColor">
- <td class="colFirst"><code>static float</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#intersectConvexConvex-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">intersectConvexConvex</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p12)</code>
- <div class="block">Finds intersection of two convex polygons</div>
- </td>
- </tr>
- <tr id="i214" class="altColor">
- <td class="colFirst"><code>static float</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#intersectConvexConvex-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-boolean-">intersectConvexConvex</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p12,
- boolean handleNested)</code>
- <div class="block">Finds intersection of two convex polygons</div>
- </td>
- </tr>
- <tr id="i215" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#invertAffineTransform-org.opencv.core.Mat-org.opencv.core.Mat-">invertAffineTransform</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> iM)</code>
- <div class="block">Inverts an affine transformation.</div>
- </td>
- </tr>
- <tr id="i216" class="altColor">
- <td class="colFirst"><code>static boolean</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#isContourConvex-org.opencv.core.MatOfPoint-">isContourConvex</a></span>(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> contour)</code>
- <div class="block">Tests a contour convexity.</div>
- </td>
- </tr>
- <tr id="i217" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-">Laplacian</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth)</code>
- <div class="block">Calculates the Laplacian of an image.</div>
- </td>
- </tr>
- <tr id="i218" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">Laplacian</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize)</code>
- <div class="block">Calculates the Laplacian of an image.</div>
- </td>
- </tr>
- <tr id="i219" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-">Laplacian</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale)</code>
- <div class="block">Calculates the Laplacian of an image.</div>
- </td>
- </tr>
- <tr id="i220" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-double-">Laplacian</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale,
- double delta)</code>
- <div class="block">Calculates the Laplacian of an image.</div>
- </td>
- </tr>
- <tr id="i221" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-double-int-">Laplacian</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale,
- double delta,
- int borderType)</code>
- <div class="block">Calculates the Laplacian of an image.</div>
- </td>
- </tr>
- <tr id="i222" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">line</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a line segment connecting two points.</div>
- </td>
- </tr>
- <tr id="i223" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">line</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws a line segment connecting two points.</div>
- </td>
- </tr>
- <tr id="i224" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">line</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws a line segment connecting two points.</div>
- </td>
- </tr>
- <tr id="i225" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">line</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">Draws a line segment connecting two points.</div>
- </td>
- </tr>
- <tr id="i226" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#matchShapes-org.opencv.core.Mat-org.opencv.core.Mat-int-double-">matchShapes</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour2,
- int method,
- double parameter)</code>
- <div class="block">Compares two shapes.</div>
- </td>
- </tr>
- <tr id="i227" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#matchTemplate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">matchTemplate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templ,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
- int method)</code>
- <div class="block">Compares a template against overlapped image regions.</div>
- </td>
- </tr>
- <tr id="i228" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#matchTemplate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">matchTemplate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templ,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
- int method,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</code>
- <div class="block">Compares a template against overlapped image regions.</div>
- </td>
- </tr>
- <tr id="i229" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#medianBlur-org.opencv.core.Mat-org.opencv.core.Mat-int-">medianBlur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize)</code>
- <div class="block">Blurs an image using the median filter.</div>
- </td>
- </tr>
- <tr id="i230" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#minAreaRect-org.opencv.core.MatOfPoint2f-">minAreaRect</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points)</code>
- <div class="block">Finds a rotated rectangle of the minimum area enclosing the input 2D point set.</div>
- </td>
- </tr>
- <tr id="i231" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#minEnclosingCircle-org.opencv.core.MatOfPoint2f-org.opencv.core.Point-float:A-">minEnclosingCircle</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- float[] radius)</code>
- <div class="block">Finds a circle of the minimum area enclosing a 2D point set.</div>
- </td>
- </tr>
- <tr id="i232" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#minEnclosingTriangle-org.opencv.core.Mat-org.opencv.core.Mat-">minEnclosingTriangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> triangle)</code>
- <div class="block">Finds a triangle of minimum area enclosing a 2D point set and returns its area.</div>
- </td>
- </tr>
- <tr id="i233" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#moments-org.opencv.core.Mat-">moments</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array)</code>
- <div class="block">Calculates all of the moments up to the third order of a polygon or rasterized shape.</div>
- </td>
- </tr>
- <tr id="i234" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#moments-org.opencv.core.Mat-boolean-">moments</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array,
- boolean binaryImage)</code>
- <div class="block">Calculates all of the moments up to the third order of a polygon or rasterized shape.</div>
- </td>
- </tr>
- <tr id="i235" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">morphologyEx</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</code>
- <div class="block">Performs advanced morphological transformations.</div>
- </td>
- </tr>
- <tr id="i236" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-">morphologyEx</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Performs advanced morphological transformations.</div>
- </td>
- </tr>
- <tr id="i237" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-">morphologyEx</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</code>
- <div class="block">Performs advanced morphological transformations.</div>
- </td>
- </tr>
- <tr id="i238" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-int-">morphologyEx</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</code>
- <div class="block">Performs advanced morphological transformations.</div>
- </td>
- </tr>
- <tr id="i239" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">morphologyEx</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</code>
- <div class="block">Performs advanced morphological transformations.</div>
- </td>
- </tr>
- <tr id="i240" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-">phaseCorrelate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2)</code>
- <div class="block">The function is used to detect translational shifts that occur between two images.</div>
- </td>
- </tr>
- <tr id="i241" class="rowColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">phaseCorrelate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> window)</code>
- <div class="block">The function is used to detect translational shifts that occur between two images.</div>
- </td>
- </tr>
- <tr id="i242" class="altColor">
- <td class="colFirst"><code>static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a></code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double:A-">phaseCorrelate</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> window,
- double[] response)</code>
- <div class="block">The function is used to detect translational shifts that occur between two images.</div>
- </td>
- </tr>
- <tr id="i243" class="rowColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pointPolygonTest-org.opencv.core.MatOfPoint2f-org.opencv.core.Point-boolean-">pointPolygonTest</a></span>(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> contour,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt,
- boolean measureDist)</code>
- <div class="block">Performs a point-in-contour test.</div>
- </td>
- </tr>
- <tr id="i244" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-">polylines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws several polygonal curves.</div>
- </td>
- </tr>
- <tr id="i245" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-">polylines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws several polygonal curves.</div>
- </td>
- </tr>
- <tr id="i246" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-int-">polylines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws several polygonal curves.</div>
- </td>
- </tr>
- <tr id="i247" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-int-int-">polylines</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">Draws several polygonal curves.</div>
- </td>
- </tr>
- <tr id="i248" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect-org.opencv.core.Mat-org.opencv.core.Mat-int-">preCornerDetect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize)</code>
- <div class="block">Calculates a feature map for corner detection.</div>
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- <tr id="i249" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">preCornerDetect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize,
- int borderType)</code>
- <div class="block">Calculates a feature map for corner detection.</div>
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- <tr id="i250" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-">putText</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a text string.</div>
- </td>
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- <tr id="i251" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-">putText</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws a text string.</div>
- </td>
- </tr>
- <tr id="i252" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-int-">putText</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws a text string.</div>
- </td>
- </tr>
- <tr id="i253" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-int-boolean-">putText</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- boolean bottomLeftOrigin)</code>
- <div class="block">Draws a text string.</div>
- </td>
- </tr>
- <tr id="i254" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-">pyrDown</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Blurs an image and downsamples it.</div>
- </td>
- </tr>
- <tr id="i255" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">pyrDown</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize)</code>
- <div class="block">Blurs an image and downsamples it.</div>
- </td>
- </tr>
- <tr id="i256" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">pyrDown</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize,
- int borderType)</code>
- <div class="block">Blurs an image and downsamples it.</div>
- </td>
- </tr>
- <tr id="i257" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">pyrMeanShiftFiltering</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr)</code>
- <div class="block">Performs initial step of meanshift segmentation of an image.</div>
- </td>
- </tr>
- <tr id="i258" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">pyrMeanShiftFiltering</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr,
- int maxLevel)</code>
- <div class="block">Performs initial step of meanshift segmentation of an image.</div>
- </td>
- </tr>
- <tr id="i259" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-org.opencv.core.TermCriteria-">pyrMeanShiftFiltering</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr,
- int maxLevel,
- <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> termcrit)</code>
- <div class="block">Performs initial step of meanshift segmentation of an image.</div>
- </td>
- </tr>
- <tr id="i260" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-">pyrUp</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
- <div class="block">Upsamples an image and then blurs it.</div>
- </td>
- </tr>
- <tr id="i261" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">pyrUp</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize)</code>
- <div class="block">Upsamples an image and then blurs it.</div>
- </td>
- </tr>
- <tr id="i262" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">pyrUp</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize,
- int borderType)</code>
- <div class="block">Upsamples an image and then blurs it.</div>
- </td>
- </tr>
- <tr id="i263" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.</div>
- </td>
- </tr>
- <tr id="i264" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.</div>
- </td>
- </tr>
- <tr id="i265" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.</div>
- </td>
- </tr>
- <tr id="i266" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.</div>
- </td>
- </tr>
- <tr id="i267" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</code>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
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- </tr>
- <tr id="i268" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</code>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- </td>
- </tr>
- <tr id="i269" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</code>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- </td>
- </tr>
- <tr id="i270" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-int-int-">rectangle</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</code>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- </td>
- </tr>
- <tr id="i271" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">remap</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation)</code>
- <div class="block">Applies a generic geometrical transformation to an image.</div>
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- <tr id="i272" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">remap</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation,
- int borderMode)</code>
- <div class="block">Applies a generic geometrical transformation to an image.</div>
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- <tr id="i273" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-org.opencv.core.Scalar-">remap</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation,
- int borderMode,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</code>
- <div class="block">Applies a generic geometrical transformation to an image.</div>
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- <tr id="i274" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">resize</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize)</code>
- <div class="block">Resizes an image.</div>
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- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-">resize</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx)</code>
- <div class="block">Resizes an image.</div>
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- <tr id="i276" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-">resize</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx,
- double fy)</code>
- <div class="block">Resizes an image.</div>
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- <tr id="i277" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-int-">resize</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx,
- double fy,
- int interpolation)</code>
- <div class="block">Resizes an image.</div>
- </td>
- </tr>
- <tr id="i278" class="altColor">
- <td class="colFirst"><code>static int</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#rotatedRectangleIntersection-org.opencv.core.RotatedRect-org.opencv.core.RotatedRect-org.opencv.core.Mat-">rotatedRectangleIntersection</a></span>(<a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> rect1,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> rect2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> intersectingRegion)</code>
- <div class="block">Finds out if there is any intersection between two rotated rectangles.</div>
- </td>
- </tr>
- <tr id="i279" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">Scharr</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy)</code>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.</div>
- </td>
- </tr>
- <tr id="i280" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-">Scharr</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale)</code>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.</div>
- </td>
- </tr>
- <tr id="i281" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-double-">Scharr</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale,
- double delta)</code>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.</div>
- </td>
- </tr>
- <tr id="i282" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-double-int-">Scharr</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale,
- double delta,
- int borderType)</code>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.</div>
- </td>
- </tr>
- <tr id="i283" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-">sepFilter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY)</code>
- <div class="block">Applies a separable linear filter to an image.</div>
- </td>
- </tr>
- <tr id="i284" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">sepFilter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Applies a separable linear filter to an image.</div>
- </td>
- </tr>
- <tr id="i285" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-double-">sepFilter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta)</code>
- <div class="block">Applies a separable linear filter to an image.</div>
- </td>
- </tr>
- <tr id="i286" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-double-int-">sepFilter2D</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta,
- int borderType)</code>
- <div class="block">Applies a separable linear filter to an image.</div>
- </td>
- </tr>
- <tr id="i287" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">Sobel</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy)</code>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.</div>
- </td>
- </tr>
- <tr id="i288" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-">Sobel</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize)</code>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.</div>
- </td>
- </tr>
- <tr id="i289" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-">Sobel</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale)</code>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.</div>
- </td>
- </tr>
- <tr id="i290" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-double-">Sobel</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale,
- double delta)</code>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.</div>
- </td>
- </tr>
- <tr id="i291" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-double-int-">Sobel</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale,
- double delta,
- int borderType)</code>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.</div>
- </td>
- </tr>
- <tr id="i292" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">spatialGradient</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy)</code>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- </td>
- </tr>
- <tr id="i293" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">spatialGradient</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- int ksize)</code>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- </td>
- </tr>
- <tr id="i294" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">spatialGradient</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- int ksize,
- int borderType)</code>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- </td>
- </tr>
- <tr id="i295" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-">sqrBoxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</code>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.</div>
- </td>
- </tr>
- <tr id="i296" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-">sqrBoxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</code>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.</div>
- </td>
- </tr>
- <tr id="i297" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-">sqrBoxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize)</code>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.</div>
- </td>
- </tr>
- <tr id="i298" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-int-">sqrBoxFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize,
- int borderType)</code>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.</div>
- </td>
- </tr>
- <tr id="i299" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#stackBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">stackBlur</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</code>
- <div class="block">Blurs an image using the stackBlur.</div>
- </td>
- </tr>
- <tr id="i300" class="altColor">
- <td class="colFirst"><code>static double</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#threshold-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">threshold</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double thresh,
- double maxval,
- int type)</code>
- <div class="block">Applies a fixed-level threshold to each array element.</div>
- </td>
- </tr>
- <tr id="i301" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">warpAffine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize)</code>
- <div class="block">Applies an affine transformation to an image.</div>
- </td>
- </tr>
- <tr id="i302" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">warpAffine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags)</code>
- <div class="block">Applies an affine transformation to an image.</div>
- </td>
- </tr>
- <tr id="i303" class="rowColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-">warpAffine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags,
- int borderMode)</code>
- <div class="block">Applies an affine transformation to an image.</div>
- </td>
- </tr>
- <tr id="i304" class="altColor">
- <td class="colFirst"><code>static void</code></td>
- <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/Imgproc.html#warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-org.opencv.core.Scalar-">warpAffine</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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- <pre>public static void accumulate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Adds an image to the accumulator image.
- The function adds src or some of its elements to dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.
- The function cv::accumulate can be used, for example, to collect statistics of a scene background
- viewed by a still camera and for the further foreground-background segmentation.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image of type CV_8UC(n), CV_16UC(n), CV_32FC(n) or CV_64FC(n), where n is a positive integer.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, and a depth of CV_32F or CV_64F.
- SEE: accumulateSquare, accumulateProduct, accumulateWeighted</dd>
- </dl>
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- <pre>public static void accumulate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Adds an image to the accumulator image.
- The function adds src or some of its elements to dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.
- The function cv::accumulate can be used, for example, to collect statistics of a scene background
- viewed by a still camera and for the further foreground-background segmentation.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image of type CV_8UC(n), CV_16UC(n), CV_32FC(n) or CV_64FC(n), where n is a positive integer.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, and a depth of CV_32F or CV_64F.</dd>
- <dd><code>mask</code> - Optional operation mask.
- SEE: accumulateSquare, accumulateProduct, accumulateWeighted</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static void accumulateProduct(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Adds the per-element product of two input images to the accumulator image.
- The function adds the product of two images or their selected regions to the accumulator dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src1} (x,y) \cdot \texttt{src2} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - First input image, 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>src2</code> - Second input image of the same type and the same size as src1 .</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input images, 32-bit or 64-bit
- floating-point.
- SEE: accumulate, accumulateSquare, accumulateWeighted</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static void accumulateProduct(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Adds the per-element product of two input images to the accumulator image.
- The function adds the product of two images or their selected regions to the accumulator dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src1} (x,y) \cdot \texttt{src2} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - First input image, 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>src2</code> - Second input image of the same type and the same size as src1 .</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input images, 32-bit or 64-bit
- floating-point.</dd>
- <dd><code>mask</code> - Optional operation mask.
- SEE: accumulate, accumulateSquare, accumulateWeighted</dd>
- </dl>
- </li>
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- <pre>public static void accumulateSquare(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Adds the square of a source image to the accumulator image.
- The function adds the input image src or its selected region, raised to a power of 2, to the
- accumulator dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src} (x,y)^2 \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, 32-bit or 64-bit
- floating-point.
- SEE: accumulateSquare, accumulateProduct, accumulateWeighted</dd>
- </dl>
- </li>
- </ul>
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- <h4>accumulateSquare</h4>
- <pre>public static void accumulateSquare(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Adds the square of a source image to the accumulator image.
- The function adds the input image src or its selected region, raised to a power of 2, to the
- accumulator dst :
- \(\texttt{dst} (x,y) \leftarrow \texttt{dst} (x,y) + \texttt{src} (x,y)^2 \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, 32-bit or 64-bit
- floating-point.</dd>
- <dd><code>mask</code> - Optional operation mask.
- SEE: accumulateSquare, accumulateProduct, accumulateWeighted</dd>
- </dl>
- </li>
- </ul>
- <a name="accumulateWeighted-org.opencv.core.Mat-org.opencv.core.Mat-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>accumulateWeighted</h4>
- <pre>public static void accumulateWeighted(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double alpha)</pre>
- <div class="block">Updates a running average.
- The function calculates the weighted sum of the input image src and the accumulator dst so that dst
- becomes a running average of a frame sequence:
- \(\texttt{dst} (x,y) \leftarrow (1- \texttt{alpha} ) \cdot \texttt{dst} (x,y) + \texttt{alpha} \cdot \texttt{src} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- That is, alpha regulates the update speed (how fast the accumulator "forgets" about earlier images).
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, 32-bit or 64-bit
- floating-point.</dd>
- <dd><code>alpha</code> - Weight of the input image.
- SEE: accumulate, accumulateSquare, accumulateProduct</dd>
- </dl>
- </li>
- </ul>
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- <h4>accumulateWeighted</h4>
- <pre>public static void accumulateWeighted(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double alpha,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Updates a running average.
- The function calculates the weighted sum of the input image src and the accumulator dst so that dst
- becomes a running average of a frame sequence:
- \(\texttt{dst} (x,y) \leftarrow (1- \texttt{alpha} ) \cdot \texttt{dst} (x,y) + \texttt{alpha} \cdot \texttt{src} (x,y) \quad \text{if} \quad \texttt{mask} (x,y) \ne 0\)
- That is, alpha regulates the update speed (how fast the accumulator "forgets" about earlier images).
- The function supports multi-channel images. Each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.</dd>
- <dd><code>dst</code> - %Accumulator image with the same number of channels as input image, 32-bit or 64-bit
- floating-point.</dd>
- <dd><code>alpha</code> - Weight of the input image.</dd>
- <dd><code>mask</code> - Optional operation mask.
- SEE: accumulate, accumulateSquare, accumulateProduct</dd>
- </dl>
- </li>
- </ul>
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- <h4>adaptiveThreshold</h4>
- <pre>public static void adaptiveThreshold(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double maxValue,
- int adaptiveMethod,
- int thresholdType,
- int blockSize,
- double C)</pre>
- <div class="block">Applies an adaptive threshold to an array.
- The function transforms a grayscale image to a binary image according to the formulae:
- <ul>
- <li>
- <b>THRESH_BINARY</b>
- \(dst(x,y) = \fork{\texttt{maxValue}}{if \(src(x,y) > T(x,y)\)}{0}{otherwise}\)
- </li>
- <li>
- <b>THRESH_BINARY_INV</b>
- \(dst(x,y) = \fork{0}{if \(src(x,y) > T(x,y)\)}{\texttt{maxValue}}{otherwise}\)
- where \(T(x,y)\) is a threshold calculated individually for each pixel (see adaptiveMethod parameter).
- </li>
- </ul>
- The function can process the image in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source 8-bit single-channel image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same type as src.</dd>
- <dd><code>maxValue</code> - Non-zero value assigned to the pixels for which the condition is satisfied</dd>
- <dd><code>adaptiveMethod</code> - Adaptive thresholding algorithm to use, see #AdaptiveThresholdTypes.
- The #BORDER_REPLICATE | #BORDER_ISOLATED is used to process boundaries.</dd>
- <dd><code>thresholdType</code> - Thresholding type that must be either #THRESH_BINARY or #THRESH_BINARY_INV,
- see #ThresholdTypes.</dd>
- <dd><code>blockSize</code> - Size of a pixel neighborhood that is used to calculate a threshold value for the
- pixel: 3, 5, 7, and so on.</dd>
- <dd><code>C</code> - Constant subtracted from the mean or weighted mean (see the details below). Normally, it
- is positive but may be zero or negative as well.
- SEE: threshold, blur, GaussianBlur</dd>
- </dl>
- </li>
- </ul>
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- <h4>applyColorMap</h4>
- <pre>public static void applyColorMap(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int colormap)</pre>
- <div class="block">Applies a GNU Octave/MATLAB equivalent colormap on a given image.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - The source image, grayscale or colored of type CV_8UC1 or CV_8UC3.</dd>
- <dd><code>dst</code> - The result is the colormapped source image. Note: Mat::create is called on dst.</dd>
- <dd><code>colormap</code> - The colormap to apply, see #ColormapTypes</dd>
- </dl>
- </li>
- </ul>
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- <h4>applyColorMap</h4>
- <pre>public static void applyColorMap(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> userColor)</pre>
- <div class="block">Applies a user colormap on a given image.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - The source image, grayscale or colored of type CV_8UC1 or CV_8UC3.</dd>
- <dd><code>dst</code> - The result is the colormapped source image. Note: Mat::create is called on dst.</dd>
- <dd><code>userColor</code> - The colormap to apply of type CV_8UC1 or CV_8UC3 and size 256</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static void approxPolyDP(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> curve,
- <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> approxCurve,
- double epsilon,
- boolean closed)</pre>
- <div class="block">Approximates a polygonal curve(s) with the specified precision.
- The function cv::approxPolyDP approximates a curve or a polygon with another curve/polygon with less
- vertices so that the distance between them is less or equal to the specified precision. It uses the
- Douglas-Peucker algorithm <http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>curve</code> - Input vector of a 2D point stored in std::vector or Mat</dd>
- <dd><code>approxCurve</code> - Result of the approximation. The type should match the type of the input curve.</dd>
- <dd><code>epsilon</code> - Parameter specifying the approximation accuracy. This is the maximum distance
- between the original curve and its approximation.</dd>
- <dd><code>closed</code> - If true, the approximated curve is closed (its first and last vertices are
- connected). Otherwise, it is not closed.</dd>
- </dl>
- </li>
- </ul>
- <a name="arcLength-org.opencv.core.MatOfPoint2f-boolean-">
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- <pre>public static double arcLength(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> curve,
- boolean closed)</pre>
- <div class="block">Calculates a contour perimeter or a curve length.
- The function computes a curve length or a closed contour perimeter.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>curve</code> - Input vector of 2D points, stored in std::vector or Mat.</dd>
- <dd><code>closed</code> - Flag indicating whether the curve is closed or not.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">
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- <h4>arrowedLine</h4>
- <pre>public static void arrowedLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.
- The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also #line.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - The point the arrow starts from.</dd>
- <dd><code>pt2</code> - The point the arrow points to.</dd>
- <dd><code>color</code> - Line color.</dd>
- </dl>
- </li>
- </ul>
- <a name="arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">
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- <h4>arrowedLine</h4>
- <pre>public static void arrowedLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.
- The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also #line.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - The point the arrow starts from.</dd>
- <dd><code>pt2</code> - The point the arrow points to.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- </dl>
- </li>
- </ul>
- <a name="arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">
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- <h4>arrowedLine</h4>
- <pre>public static void arrowedLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type)</pre>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.
- The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also #line.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - The point the arrow starts from.</dd>
- <dd><code>pt2</code> - The point the arrow points to.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>line_type</code> - Type of the line. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">
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- <h4>arrowedLine</h4>
- <pre>public static void arrowedLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type,
- int shift)</pre>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.
- The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also #line.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - The point the arrow starts from.</dd>
- <dd><code>pt2</code> - The point the arrow points to.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>line_type</code> - Type of the line. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the point coordinates.</dd>
- </dl>
- </li>
- </ul>
- <a name="arrowedLine-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-double-">
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- <h4>arrowedLine</h4>
- <pre>public static void arrowedLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int line_type,
- int shift,
- double tipLength)</pre>
- <div class="block">Draws an arrow segment pointing from the first point to the second one.
- The function cv::arrowedLine draws an arrow between pt1 and pt2 points in the image. See also #line.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - The point the arrow starts from.</dd>
- <dd><code>pt2</code> - The point the arrow points to.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>line_type</code> - Type of the line. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the point coordinates.</dd>
- <dd><code>tipLength</code> - The length of the arrow tip in relation to the arrow length</dd>
- </dl>
- </li>
- </ul>
- <a name="bilateralFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-">
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- <h4>bilateralFilter</h4>
- <pre>public static void bilateralFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int d,
- double sigmaColor,
- double sigmaSpace)</pre>
- <div class="block">Applies the bilateral filter to an image.
- The function applies bilateral filtering to the input image, as described in
- http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html
- bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp. However, it is
- very slow compared to most filters.
- _Sigma values_: For simplicity, you can set the 2 sigma values to be the same. If they are small (<
- 10), the filter will not have much effect, whereas if they are large (> 150), they will have a very
- strong effect, making the image look "cartoonish".
- _Filter size_: Large filters (d > 5) are very slow, so it is recommended to use d=5 for real-time
- applications, and perhaps d=9 for offline applications that need heavy noise filtering.
- This filter does not work inplace.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source 8-bit or floating-point, 1-channel or 3-channel image.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as src .</dd>
- <dd><code>d</code> - Diameter of each pixel neighborhood that is used during filtering. If it is non-positive,
- it is computed from sigmaSpace.</dd>
- <dd><code>sigmaColor</code> - Filter sigma in the color space. A larger value of the parameter means that
- farther colors within the pixel neighborhood (see sigmaSpace) will be mixed together, resulting
- in larger areas of semi-equal color.</dd>
- <dd><code>sigmaSpace</code> - Filter sigma in the coordinate space. A larger value of the parameter means that
- farther pixels will influence each other as long as their colors are close enough (see sigmaColor
- ). When d>0, it specifies the neighborhood size regardless of sigmaSpace. Otherwise, d is
- proportional to sigmaSpace.</dd>
- </dl>
- </li>
- </ul>
- <a name="bilateralFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-int-">
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- </a>
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- <h4>bilateralFilter</h4>
- <pre>public static void bilateralFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int d,
- double sigmaColor,
- double sigmaSpace,
- int borderType)</pre>
- <div class="block">Applies the bilateral filter to an image.
- The function applies bilateral filtering to the input image, as described in
- http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html
- bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp. However, it is
- very slow compared to most filters.
- _Sigma values_: For simplicity, you can set the 2 sigma values to be the same. If they are small (<
- 10), the filter will not have much effect, whereas if they are large (> 150), they will have a very
- strong effect, making the image look "cartoonish".
- _Filter size_: Large filters (d > 5) are very slow, so it is recommended to use d=5 for real-time
- applications, and perhaps d=9 for offline applications that need heavy noise filtering.
- This filter does not work inplace.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source 8-bit or floating-point, 1-channel or 3-channel image.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as src .</dd>
- <dd><code>d</code> - Diameter of each pixel neighborhood that is used during filtering. If it is non-positive,
- it is computed from sigmaSpace.</dd>
- <dd><code>sigmaColor</code> - Filter sigma in the color space. A larger value of the parameter means that
- farther colors within the pixel neighborhood (see sigmaSpace) will be mixed together, resulting
- in larger areas of semi-equal color.</dd>
- <dd><code>sigmaSpace</code> - Filter sigma in the coordinate space. A larger value of the parameter means that
- farther pixels will influence each other as long as their colors are close enough (see sigmaColor
- ). When d>0, it specifies the neighborhood size regardless of sigmaSpace. Otherwise, d is
- proportional to sigmaSpace.</dd>
- <dd><code>borderType</code> - border mode used to extrapolate pixels outside of the image, see #BorderTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="blendLinear-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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- <h4>blendLinear</h4>
- <pre>public static void blendLinear(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> weights1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> weights2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">variant without <code>mask</code> parameter</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - automatically generated</dd>
- <dd><code>src2</code> - automatically generated</dd>
- <dd><code>weights1</code> - automatically generated</dd>
- <dd><code>weights2</code> - automatically generated</dd>
- <dd><code>dst</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
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- </a>
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- <li class="blockList">
- <h4>blur</h4>
- <pre>public static void blur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</pre>
- <div class="block">Blurs an image using the normalized box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \frac{1}{\texttt{ksize.width*ksize.height}} \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \end{bmatrix}\)
- The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent to `boxFilter(src, dst, src.type(), ksize,
- anchor, true, borderType)`.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; it can have any number of channels, which are processed independently, but
- the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - blurring kernel size.
- center.
- SEE: boxFilter, bilateralFilter, GaussianBlur, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-">
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- <h4>blur</h4>
- <pre>public static void blur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Blurs an image using the normalized box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \frac{1}{\texttt{ksize.width*ksize.height}} \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \end{bmatrix}\)
- The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent to `boxFilter(src, dst, src.type(), ksize,
- anchor, true, borderType)`.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; it can have any number of channels, which are processed independently, but
- the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - blurring kernel size.</dd>
- <dd><code>anchor</code> - anchor point; default value Point(-1,-1) means that the anchor is at the kernel
- center.
- SEE: boxFilter, bilateralFilter, GaussianBlur, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="blur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-int-">
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- <h4>blur</h4>
- <pre>public static void blur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int borderType)</pre>
- <div class="block">Blurs an image using the normalized box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \frac{1}{\texttt{ksize.width*ksize.height}} \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \end{bmatrix}\)
- The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent to `boxFilter(src, dst, src.type(), ksize,
- anchor, true, borderType)`.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; it can have any number of channels, which are processed independently, but
- the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - blurring kernel size.</dd>
- <dd><code>anchor</code> - anchor point; default value Point(-1,-1) means that the anchor is at the kernel
- center.</dd>
- <dd><code>borderType</code> - border mode used to extrapolate pixels outside of the image, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: boxFilter, bilateralFilter, GaussianBlur, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="boundingRect-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>boundingRect</h4>
- <pre>public static <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> boundingRect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array)</pre>
- <div class="block">Calculates the up-right bounding rectangle of a point set or non-zero pixels of gray-scale image.
- The function calculates and returns the minimal up-right bounding rectangle for the specified point set or
- non-zero pixels of gray-scale image.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>array</code> - Input gray-scale image or 2D point set, stored in std::vector or Mat.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>boxFilter</h4>
- <pre>public static void boxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</pre>
- <div class="block">Blurs an image using the box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \alpha \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \end{bmatrix}\)
- where
- \(\alpha = \begin{cases} \frac{1}{\texttt{ksize.width*ksize.height}} & \texttt{when } \texttt{normalize=true} \\1 & \texttt{otherwise}\end{cases}\)
- Unnormalized box filter is useful for computing various integral characteristics over each pixel
- neighborhood, such as covariance matrices of image derivatives (used in dense optical flow
- algorithms, and so on). If you need to compute pixel sums over variable-size windows, use #integral.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth()).</dd>
- <dd><code>ksize</code> - blurring kernel size.
- center.
- SEE: blur, bilateralFilter, GaussianBlur, medianBlur, integral</dd>
- </dl>
- </li>
- </ul>
- <a name="boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-">
- <!-- -->
- </a>
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- <h4>boxFilter</h4>
- <pre>public static void boxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Blurs an image using the box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \alpha \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \end{bmatrix}\)
- where
- \(\alpha = \begin{cases} \frac{1}{\texttt{ksize.width*ksize.height}} & \texttt{when } \texttt{normalize=true} \\1 & \texttt{otherwise}\end{cases}\)
- Unnormalized box filter is useful for computing various integral characteristics over each pixel
- neighborhood, such as covariance matrices of image derivatives (used in dense optical flow
- algorithms, and so on). If you need to compute pixel sums over variable-size windows, use #integral.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth()).</dd>
- <dd><code>ksize</code> - blurring kernel size.</dd>
- <dd><code>anchor</code> - anchor point; default value Point(-1,-1) means that the anchor is at the kernel
- center.
- SEE: blur, bilateralFilter, GaussianBlur, medianBlur, integral</dd>
- </dl>
- </li>
- </ul>
- <a name="boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>boxFilter</h4>
- <pre>public static void boxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize)</pre>
- <div class="block">Blurs an image using the box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \alpha \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \end{bmatrix}\)
- where
- \(\alpha = \begin{cases} \frac{1}{\texttt{ksize.width*ksize.height}} & \texttt{when } \texttt{normalize=true} \\1 & \texttt{otherwise}\end{cases}\)
- Unnormalized box filter is useful for computing various integral characteristics over each pixel
- neighborhood, such as covariance matrices of image derivatives (used in dense optical flow
- algorithms, and so on). If you need to compute pixel sums over variable-size windows, use #integral.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth()).</dd>
- <dd><code>ksize</code> - blurring kernel size.</dd>
- <dd><code>anchor</code> - anchor point; default value Point(-1,-1) means that the anchor is at the kernel
- center.</dd>
- <dd><code>normalize</code> - flag, specifying whether the kernel is normalized by its area or not.
- SEE: blur, bilateralFilter, GaussianBlur, medianBlur, integral</dd>
- </dl>
- </li>
- </ul>
- <a name="boxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-int-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>boxFilter</h4>
- <pre>public static void boxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize,
- int borderType)</pre>
- <div class="block">Blurs an image using the box filter.
- The function smooths an image using the kernel:
- \(\texttt{K} = \alpha \begin{bmatrix} 1 & 1 & 1 & \cdots & 1 & 1 \\ 1 & 1 & 1 & \cdots & 1 & 1 \\ \hdotsfor{6} \\ 1 & 1 & 1 & \cdots & 1 & 1 \end{bmatrix}\)
- where
- \(\alpha = \begin{cases} \frac{1}{\texttt{ksize.width*ksize.height}} & \texttt{when } \texttt{normalize=true} \\1 & \texttt{otherwise}\end{cases}\)
- Unnormalized box filter is useful for computing various integral characteristics over each pixel
- neighborhood, such as covariance matrices of image derivatives (used in dense optical flow
- algorithms, and so on). If you need to compute pixel sums over variable-size windows, use #integral.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth()).</dd>
- <dd><code>ksize</code> - blurring kernel size.</dd>
- <dd><code>anchor</code> - anchor point; default value Point(-1,-1) means that the anchor is at the kernel
- center.</dd>
- <dd><code>normalize</code> - flag, specifying whether the kernel is normalized by its area or not.</dd>
- <dd><code>borderType</code> - border mode used to extrapolate pixels outside of the image, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: blur, bilateralFilter, GaussianBlur, medianBlur, integral</dd>
- </dl>
- </li>
- </ul>
- <a name="boxPoints-org.opencv.core.RotatedRect-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>boxPoints</h4>
- <pre>public static void boxPoints(<a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</pre>
- <div class="block">Finds the four vertices of a rotated rect. Useful to draw the rotated rectangle.
- The function finds the four vertices of a rotated rectangle. This function is useful to draw the
- rectangle. In C++, instead of using this function, you can directly use RotatedRect::points method. Please
- visit the REF: tutorial_bounding_rotated_ellipses "tutorial on Creating Bounding rotated boxes and ellipses for contours" for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>box</code> - The input rotated rectangle. It may be the output of REF: minAreaRect.</dd>
- <dd><code>points</code> - The output array of four vertices of rectangles.</dd>
- </dl>
- </li>
- </ul>
- <a name="calcBackProject-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>calcBackProject</h4>
- <pre>public static void calcBackProject(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges,
- double scale)</pre>
- </li>
- </ul>
- <a name="calcHist-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfInt-org.opencv.core.MatOfFloat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>calcHist</h4>
- <pre>public static void calcHist(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> histSize,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges)</pre>
- <div class="block">this variant supports only uniform histograms.
- ranges argument is either empty vector or a flattened vector of histSize.size()*2 elements
- (histSize.size() element pairs). The first and second elements of each pair specify the lower and
- upper boundaries.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>images</code> - automatically generated</dd>
- <dd><code>channels</code> - automatically generated</dd>
- <dd><code>mask</code> - automatically generated</dd>
- <dd><code>hist</code> - automatically generated</dd>
- <dd><code>histSize</code> - automatically generated</dd>
- <dd><code>ranges</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="calcHist-java.util.List-org.opencv.core.MatOfInt-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfInt-org.opencv.core.MatOfFloat-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>calcHist</h4>
- <pre>public static void calcHist(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> channels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hist,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> histSize,
- <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> ranges,
- boolean accumulate)</pre>
- <div class="block">this variant supports only uniform histograms.
- ranges argument is either empty vector or a flattened vector of histSize.size()*2 elements
- (histSize.size() element pairs). The first and second elements of each pair specify the lower and
- upper boundaries.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>images</code> - automatically generated</dd>
- <dd><code>channels</code> - automatically generated</dd>
- <dd><code>mask</code> - automatically generated</dd>
- <dd><code>hist</code> - automatically generated</dd>
- <dd><code>histSize</code> - automatically generated</dd>
- <dd><code>ranges</code> - automatically generated</dd>
- <dd><code>accumulate</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="Canny-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Canny</h4>
- <pre>public static void Canny(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2)</pre>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .
- The function finds edges in the input image and marks them in the output map edges using the
- Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The
- largest value is used to find initial segments of strong edges. See
- <http://en.wikipedia.org/wiki/Canny_edge_detector></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit input image.</dd>
- <dd><code>edges</code> - output edge map; single channels 8-bit image, which has the same size as image .</dd>
- <dd><code>threshold1</code> - first threshold for the hysteresis procedure.</dd>
- <dd><code>threshold2</code> - second threshold for the hysteresis procedure.
- \(=\sqrt{(dI/dx)^2 + (dI/dy)^2}\) should be used to calculate the image gradient magnitude (
- L2gradient=true ), or whether the default \(L_1\) norm \(=|dI/dx|+|dI/dy|\) is enough (
- L2gradient=false ).</dd>
- </dl>
- </li>
- </ul>
- <a name="Canny-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Canny</h4>
- <pre>public static void Canny(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- int apertureSize)</pre>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .
- The function finds edges in the input image and marks them in the output map edges using the
- Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The
- largest value is used to find initial segments of strong edges. See
- <http://en.wikipedia.org/wiki/Canny_edge_detector></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit input image.</dd>
- <dd><code>edges</code> - output edge map; single channels 8-bit image, which has the same size as image .</dd>
- <dd><code>threshold1</code> - first threshold for the hysteresis procedure.</dd>
- <dd><code>threshold2</code> - second threshold for the hysteresis procedure.</dd>
- <dd><code>apertureSize</code> - aperture size for the Sobel operator.
- \(=\sqrt{(dI/dx)^2 + (dI/dy)^2}\) should be used to calculate the image gradient magnitude (
- L2gradient=true ), or whether the default \(L_1\) norm \(=|dI/dx|+|dI/dy|\) is enough (
- L2gradient=false ).</dd>
- </dl>
- </li>
- </ul>
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- <h4>Canny</h4>
- <pre>public static void Canny(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- int apertureSize,
- boolean L2gradient)</pre>
- <div class="block">Finds edges in an image using the Canny algorithm CITE: Canny86 .
- The function finds edges in the input image and marks them in the output map edges using the
- Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The
- largest value is used to find initial segments of strong edges. See
- <http://en.wikipedia.org/wiki/Canny_edge_detector></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit input image.</dd>
- <dd><code>edges</code> - output edge map; single channels 8-bit image, which has the same size as image .</dd>
- <dd><code>threshold1</code> - first threshold for the hysteresis procedure.</dd>
- <dd><code>threshold2</code> - second threshold for the hysteresis procedure.</dd>
- <dd><code>apertureSize</code> - aperture size for the Sobel operator.</dd>
- <dd><code>L2gradient</code> - a flag, indicating whether a more accurate \(L_2\) norm
- \(=\sqrt{(dI/dx)^2 + (dI/dy)^2}\) should be used to calculate the image gradient magnitude (
- L2gradient=true ), or whether the default \(L_1\) norm \(=|dI/dx|+|dI/dy|\) is enough (
- L2gradient=false ).</dd>
- </dl>
- </li>
- </ul>
- <a name="Canny-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">
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- <h4>Canny</h4>
- <pre>public static void Canny(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2)</pre>
- <div class="block">\overload
- Finds edges in an image using the Canny algorithm with custom image gradient.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dx</code> - 16-bit x derivative of input image (CV_16SC1 or CV_16SC3).</dd>
- <dd><code>dy</code> - 16-bit y derivative of input image (same type as dx).</dd>
- <dd><code>edges</code> - output edge map; single channels 8-bit image, which has the same size as image .</dd>
- <dd><code>threshold1</code> - first threshold for the hysteresis procedure.</dd>
- <dd><code>threshold2</code> - second threshold for the hysteresis procedure.
- \(=\sqrt{(dI/dx)^2 + (dI/dy)^2}\) should be used to calculate the image gradient magnitude (
- L2gradient=true ), or whether the default \(L_1\) norm \(=|dI/dx|+|dI/dy|\) is enough (
- L2gradient=false ).</dd>
- </dl>
- </li>
- </ul>
- <a name="Canny-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-double-boolean-">
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- </a>
- <ul class="blockList">
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- <h4>Canny</h4>
- <pre>public static void Canny(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> edges,
- double threshold1,
- double threshold2,
- boolean L2gradient)</pre>
- <div class="block">\overload
- Finds edges in an image using the Canny algorithm with custom image gradient.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dx</code> - 16-bit x derivative of input image (CV_16SC1 or CV_16SC3).</dd>
- <dd><code>dy</code> - 16-bit y derivative of input image (same type as dx).</dd>
- <dd><code>edges</code> - output edge map; single channels 8-bit image, which has the same size as image .</dd>
- <dd><code>threshold1</code> - first threshold for the hysteresis procedure.</dd>
- <dd><code>threshold2</code> - second threshold for the hysteresis procedure.</dd>
- <dd><code>L2gradient</code> - a flag, indicating whether a more accurate \(L_2\) norm
- \(=\sqrt{(dI/dx)^2 + (dI/dy)^2}\) should be used to calculate the image gradient magnitude (
- L2gradient=true ), or whether the default \(L_1\) norm \(=|dI/dx|+|dI/dy|\) is enough (
- L2gradient=false ).</dd>
- </dl>
- </li>
- </ul>
- <a name="circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-">
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- <h4>circle</h4>
- <pre>public static void circle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a circle.
- The function cv::circle draws a simple or filled circle with a given center and radius.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image where the circle is drawn.</dd>
- <dd><code>center</code> - Center of the circle.</dd>
- <dd><code>radius</code> - Radius of the circle.</dd>
- <dd><code>color</code> - Circle color.
- mean that a filled circle is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-">
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- <h4>circle</h4>
- <pre>public static void circle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws a circle.
- The function cv::circle draws a simple or filled circle with a given center and radius.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image where the circle is drawn.</dd>
- <dd><code>center</code> - Center of the circle.</dd>
- <dd><code>radius</code> - Radius of the circle.</dd>
- <dd><code>color</code> - Circle color.</dd>
- <dd><code>thickness</code> - Thickness of the circle outline, if positive. Negative values, like #FILLED,
- mean that a filled circle is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-int-">
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- <h4>circle</h4>
- <pre>public static void circle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws a circle.
- The function cv::circle draws a simple or filled circle with a given center and radius.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image where the circle is drawn.</dd>
- <dd><code>center</code> - Center of the circle.</dd>
- <dd><code>radius</code> - Radius of the circle.</dd>
- <dd><code>color</code> - Circle color.</dd>
- <dd><code>thickness</code> - Thickness of the circle outline, if positive. Negative values, like #FILLED,
- mean that a filled circle is to be drawn.</dd>
- <dd><code>lineType</code> - Type of the circle boundary. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="circle-org.opencv.core.Mat-org.opencv.core.Point-int-org.opencv.core.Scalar-int-int-int-">
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- <h4>circle</h4>
- <pre>public static void circle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- int radius,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">Draws a circle.
- The function cv::circle draws a simple or filled circle with a given center and radius.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image where the circle is drawn.</dd>
- <dd><code>center</code> - Center of the circle.</dd>
- <dd><code>radius</code> - Radius of the circle.</dd>
- <dd><code>color</code> - Circle color.</dd>
- <dd><code>thickness</code> - Thickness of the circle outline, if positive. Negative values, like #FILLED,
- mean that a filled circle is to be drawn.</dd>
- <dd><code>lineType</code> - Type of the circle boundary. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the coordinates of the center and in the radius value.</dd>
- </dl>
- </li>
- </ul>
- <a name="clipLine-org.opencv.core.Rect-org.opencv.core.Point-org.opencv.core.Point-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>clipLine</h4>
- <pre>public static boolean clipLine(<a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> imgRect,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>imgRect</code> - Image rectangle.</dd>
- <dd><code>pt1</code> - First line point.</dd>
- <dd><code>pt2</code> - Second line point.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="compareHist-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <h4>compareHist</h4>
- <pre>public static double compareHist(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> H1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> H2,
- int method)</pre>
- <div class="block">Compares two histograms.
- The function cv::compareHist compares two dense or two sparse histograms using the specified method.
- The function returns \(d(H_1, H_2)\) .
- While the function works well with 1-, 2-, 3-dimensional dense histograms, it may not be suitable
- for high-dimensional sparse histograms. In such histograms, because of aliasing and sampling
- problems, the coordinates of non-zero histogram bins can slightly shift. To compare such histograms
- or more general sparse configurations of weighted points, consider using the #EMD function.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>H1</code> - First compared histogram.</dd>
- <dd><code>H2</code> - Second compared histogram of the same size as H1 .</dd>
- <dd><code>method</code> - Comparison method, see #HistCompMethods</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <h4>connectedComponents</h4>
- <pre>public static int connectedComponents(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static int connectedComponents(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static int connectedComponents(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity,
- int ltype)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dd><code>ltype</code> - output image label type. Currently CV_32S and CV_16U are supported.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="connectedComponentsWithAlgorithm-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
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- <pre>public static int connectedComponentsWithAlgorithm(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int connectivity,
- int ltype,
- int ccltype)</pre>
- <div class="block">computes the connected components labeled image of boolean image
- image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0
- represents the background label. ltype specifies the output label image type, an important
- consideration based on the total number of labels or alternatively the total number of pixels in
- the source image. ccltype specifies the connected components labeling algorithm to use, currently
- Bolelli (Spaghetti) CITE: Bolelli2019, Grana (BBDT) CITE: Grana2010 and Wu's (SAUF) CITE: Wu2009 algorithms
- are supported, see the #ConnectedComponentsAlgorithmsTypes for details. Note that SAUF algorithm forces
- a row major ordering of labels while Spaghetti and BBDT do not.
- This function uses parallel version of the algorithms if at least one allowed
- parallel framework is enabled and if the rows of the image are at least twice the number returned by #getNumberOfCPUs.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dd><code>ltype</code> - output image label type. Currently CV_32S and CV_16U are supported.</dd>
- <dd><code>ccltype</code> - connected components algorithm type (see the #ConnectedComponentsAlgorithmsTypes).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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- <pre>public static int connectedComponentsWithStats(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>stats</code> - statistics output for each label, including the background label.
- Statistics are accessed via stats(label, COLUMN) where COLUMN is one of
- #ConnectedComponentsTypes, selecting the statistic. The data type is CV_32S.</dd>
- <dd><code>centroids</code> - centroid output for each label, including the background label. Centroids are
- accessed via centroids(label, 0) for x and centroids(label, 1) for y. The data type CV_64F.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <pre>public static int connectedComponentsWithStats(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>stats</code> - statistics output for each label, including the background label.
- Statistics are accessed via stats(label, COLUMN) where COLUMN is one of
- #ConnectedComponentsTypes, selecting the statistic. The data type is CV_32S.</dd>
- <dd><code>centroids</code> - centroid output for each label, including the background label. Centroids are
- accessed via centroids(label, 0) for x and centroids(label, 1) for y. The data type CV_64F.</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="connectedComponentsWithStats-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
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- <pre>public static int connectedComponentsWithStats(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity,
- int ltype)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>stats</code> - statistics output for each label, including the background label.
- Statistics are accessed via stats(label, COLUMN) where COLUMN is one of
- #ConnectedComponentsTypes, selecting the statistic. The data type is CV_32S.</dd>
- <dd><code>centroids</code> - centroid output for each label, including the background label. Centroids are
- accessed via centroids(label, 0) for x and centroids(label, 1) for y. The data type CV_64F.</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dd><code>ltype</code> - output image label type. Currently CV_32S and CV_16U are supported.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="connectedComponentsWithStatsWithAlgorithm-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
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- <pre>public static int connectedComponentsWithStatsWithAlgorithm(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> stats,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> centroids,
- int connectivity,
- int ltype,
- int ccltype)</pre>
- <div class="block">computes the connected components labeled image of boolean image and also produces a statistics output for each label
- image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0
- represents the background label. ltype specifies the output label image type, an important
- consideration based on the total number of labels or alternatively the total number of pixels in
- the source image. ccltype specifies the connected components labeling algorithm to use, currently
- Bolelli (Spaghetti) CITE: Bolelli2019, Grana (BBDT) CITE: Grana2010 and Wu's (SAUF) CITE: Wu2009 algorithms
- are supported, see the #ConnectedComponentsAlgorithmsTypes for details. Note that SAUF algorithm forces
- a row major ordering of labels while Spaghetti and BBDT do not.
- This function uses parallel version of the algorithms (statistics included) if at least one allowed
- parallel framework is enabled and if the rows of the image are at least twice the number returned by #getNumberOfCPUs.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - the 8-bit single-channel image to be labeled</dd>
- <dd><code>labels</code> - destination labeled image</dd>
- <dd><code>stats</code> - statistics output for each label, including the background label.
- Statistics are accessed via stats(label, COLUMN) where COLUMN is one of
- #ConnectedComponentsTypes, selecting the statistic. The data type is CV_32S.</dd>
- <dd><code>centroids</code> - centroid output for each label, including the background label. Centroids are
- accessed via centroids(label, 0) for x and centroids(label, 1) for y. The data type CV_64F.</dd>
- <dd><code>connectivity</code> - 8 or 4 for 8-way or 4-way connectivity respectively</dd>
- <dd><code>ltype</code> - output image label type. Currently CV_32S and CV_16U are supported.</dd>
- <dd><code>ccltype</code> - connected components algorithm type (see #ConnectedComponentsAlgorithmsTypes).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="contourArea-org.opencv.core.Mat-">
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- <h4>contourArea</h4>
- <pre>public static double contourArea(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour)</pre>
- <div class="block">Calculates a contour area.
- The function computes a contour area. Similarly to moments , the area is computed using the Green
- formula. Thus, the returned area and the number of non-zero pixels, if you draw the contour using
- #drawContours or #fillPoly , can be different. Also, the function will most certainly give a wrong
- results for contours with self-intersections.
- Example:
- <code>
- vector<Point> contour;
- contour.push_back(Point2f(0, 0));
- contour.push_back(Point2f(10, 0));
- contour.push_back(Point2f(10, 10));
- contour.push_back(Point2f(5, 4));
- double area0 = contourArea(contour);
- vector<Point> approx;
- approxPolyDP(contour, approx, 5, true);
- double area1 = contourArea(approx);
- cout << "area0 =" << area0 << endl <<
- "area1 =" << area1 << endl <<
- "approx poly vertices" << approx.size() << endl;
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour</code> - Input vector of 2D points (contour vertices), stored in std::vector or Mat.
- depending on the contour orientation (clockwise or counter-clockwise). Using this feature you can
- determine orientation of a contour by taking the sign of an area. By default, the parameter is
- false, which means that the absolute value is returned.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static double contourArea(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour,
- boolean oriented)</pre>
- <div class="block">Calculates a contour area.
- The function computes a contour area. Similarly to moments , the area is computed using the Green
- formula. Thus, the returned area and the number of non-zero pixels, if you draw the contour using
- #drawContours or #fillPoly , can be different. Also, the function will most certainly give a wrong
- results for contours with self-intersections.
- Example:
- <code>
- vector<Point> contour;
- contour.push_back(Point2f(0, 0));
- contour.push_back(Point2f(10, 0));
- contour.push_back(Point2f(10, 10));
- contour.push_back(Point2f(5, 4));
- double area0 = contourArea(contour);
- vector<Point> approx;
- approxPolyDP(contour, approx, 5, true);
- double area1 = contourArea(approx);
- cout << "area0 =" << area0 << endl <<
- "area1 =" << area1 << endl <<
- "approx poly vertices" << approx.size() << endl;
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour</code> - Input vector of 2D points (contour vertices), stored in std::vector or Mat.</dd>
- <dd><code>oriented</code> - Oriented area flag. If it is true, the function returns a signed area value,
- depending on the contour orientation (clockwise or counter-clockwise). Using this feature you can
- determine orientation of a contour by taking the sign of an area. By default, the parameter is
- false, which means that the absolute value is returned.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="convertMaps-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <h4>convertMaps</h4>
- <pre>public static void convertMaps(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap2,
- int dstmap1type)</pre>
- <div class="block">Converts image transformation maps from one representation to another.
- The function converts a pair of maps for remap from one representation to another. The following
- options ( (map1.type(), map2.type()) \(\rightarrow\) (dstmap1.type(), dstmap2.type()) ) are
- supported:
- <ul>
- <li>
- \(\texttt{(CV_32FC1, CV_32FC1)} \rightarrow \texttt{(CV_16SC2, CV_16UC1)}\). This is the
- most frequently used conversion operation, in which the original floating-point maps (see #remap)
- are converted to a more compact and much faster fixed-point representation. The first output array
- contains the rounded coordinates and the second array (created only when nninterpolation=false )
- contains indices in the interpolation tables.
- </li>
- </ul>
- <ul>
- <li>
- \(\texttt{(CV_32FC2)} \rightarrow \texttt{(CV_16SC2, CV_16UC1)}\). The same as above but
- the original maps are stored in one 2-channel matrix.
- </li>
- </ul>
- <ul>
- <li>
- Reverse conversion. Obviously, the reconstructed floating-point maps will not be exactly the same
- as the originals.
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>map1</code> - The first input map of type CV_16SC2, CV_32FC1, or CV_32FC2 .</dd>
- <dd><code>map2</code> - The second input map of type CV_16UC1, CV_32FC1, or none (empty matrix),
- respectively.</dd>
- <dd><code>dstmap1</code> - The first output map that has the type dstmap1type and the same size as src .</dd>
- <dd><code>dstmap2</code> - The second output map.</dd>
- <dd><code>dstmap1type</code> - Type of the first output map that should be CV_16SC2, CV_32FC1, or
- CV_32FC2 .
- nearest-neighbor or for a more complex interpolation.
- SEE: remap, undistort, initUndistortRectifyMap</dd>
- </dl>
- </li>
- </ul>
- <a name="convertMaps-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-boolean-">
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- <h4>convertMaps</h4>
- <pre>public static void convertMaps(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dstmap2,
- int dstmap1type,
- boolean nninterpolation)</pre>
- <div class="block">Converts image transformation maps from one representation to another.
- The function converts a pair of maps for remap from one representation to another. The following
- options ( (map1.type(), map2.type()) \(\rightarrow\) (dstmap1.type(), dstmap2.type()) ) are
- supported:
- <ul>
- <li>
- \(\texttt{(CV_32FC1, CV_32FC1)} \rightarrow \texttt{(CV_16SC2, CV_16UC1)}\). This is the
- most frequently used conversion operation, in which the original floating-point maps (see #remap)
- are converted to a more compact and much faster fixed-point representation. The first output array
- contains the rounded coordinates and the second array (created only when nninterpolation=false )
- contains indices in the interpolation tables.
- </li>
- </ul>
- <ul>
- <li>
- \(\texttt{(CV_32FC2)} \rightarrow \texttt{(CV_16SC2, CV_16UC1)}\). The same as above but
- the original maps are stored in one 2-channel matrix.
- </li>
- </ul>
- <ul>
- <li>
- Reverse conversion. Obviously, the reconstructed floating-point maps will not be exactly the same
- as the originals.
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>map1</code> - The first input map of type CV_16SC2, CV_32FC1, or CV_32FC2 .</dd>
- <dd><code>map2</code> - The second input map of type CV_16UC1, CV_32FC1, or none (empty matrix),
- respectively.</dd>
- <dd><code>dstmap1</code> - The first output map that has the type dstmap1type and the same size as src .</dd>
- <dd><code>dstmap2</code> - The second output map.</dd>
- <dd><code>dstmap1type</code> - Type of the first output map that should be CV_16SC2, CV_32FC1, or
- CV_32FC2 .</dd>
- <dd><code>nninterpolation</code> - Flag indicating whether the fixed-point maps are used for the
- nearest-neighbor or for a more complex interpolation.
- SEE: remap, undistort, initUndistortRectifyMap</dd>
- </dl>
- </li>
- </ul>
- <a name="convexHull-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-">
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- <pre>public static void convexHull(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> hull)</pre>
- <div class="block">Finds the convex hull of a point set.
- The function cv::convexHull finds the convex hull of a 2D point set using the Sklansky's algorithm CITE: Sklansky82
- that has *O(N logN)* complexity in the current implementation.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input 2D point set, stored in std::vector or Mat.</dd>
- <dd><code>hull</code> - Output convex hull. It is either an integer vector of indices or vector of points. In
- the first case, the hull elements are 0-based indices of the convex hull points in the original
- array (since the set of convex hull points is a subset of the original point set). In the second
- case, hull elements are the convex hull points themselves.
- Otherwise, it is oriented counter-clockwise. The assumed coordinate system has its X axis pointing
- to the right, and its Y axis pointing upwards.
- returns convex hull points. Otherwise, it returns indices of the convex hull points. When the
- output array is std::vector, the flag is ignored, and the output depends on the type of the
- vector: std::vector<int> implies returnPoints=false, std::vector<Point> implies
- returnPoints=true.
- <b>Note:</b> <code>points</code> and <code>hull</code> should be different arrays, inplace processing isn't supported.
- Check REF: tutorial_hull "the corresponding tutorial" for more details.
- useful links:
- https://www.learnopencv.com/convex-hull-using-opencv-in-python-and-c/</dd>
- </dl>
- </li>
- </ul>
- <a name="convexHull-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-boolean-">
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- </a>
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- <h4>convexHull</h4>
- <pre>public static void convexHull(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> hull,
- boolean clockwise)</pre>
- <div class="block">Finds the convex hull of a point set.
- The function cv::convexHull finds the convex hull of a 2D point set using the Sklansky's algorithm CITE: Sklansky82
- that has *O(N logN)* complexity in the current implementation.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input 2D point set, stored in std::vector or Mat.</dd>
- <dd><code>hull</code> - Output convex hull. It is either an integer vector of indices or vector of points. In
- the first case, the hull elements are 0-based indices of the convex hull points in the original
- array (since the set of convex hull points is a subset of the original point set). In the second
- case, hull elements are the convex hull points themselves.</dd>
- <dd><code>clockwise</code> - Orientation flag. If it is true, the output convex hull is oriented clockwise.
- Otherwise, it is oriented counter-clockwise. The assumed coordinate system has its X axis pointing
- to the right, and its Y axis pointing upwards.
- returns convex hull points. Otherwise, it returns indices of the convex hull points. When the
- output array is std::vector, the flag is ignored, and the output depends on the type of the
- vector: std::vector<int> implies returnPoints=false, std::vector<Point> implies
- returnPoints=true.
- <b>Note:</b> <code>points</code> and <code>hull</code> should be different arrays, inplace processing isn't supported.
- Check REF: tutorial_hull "the corresponding tutorial" for more details.
- useful links:
- https://www.learnopencv.com/convex-hull-using-opencv-in-python-and-c/</dd>
- </dl>
- </li>
- </ul>
- <a name="convexityDefects-org.opencv.core.MatOfPoint-org.opencv.core.MatOfInt-org.opencv.core.MatOfInt4-">
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- <h4>convexityDefects</h4>
- <pre>public static void convexityDefects(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> contour,
- <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> convexhull,
- <a href="../../../org/opencv/core/MatOfInt4.html" title="class in org.opencv.core">MatOfInt4</a> convexityDefects)</pre>
- <div class="block">Finds the convexity defects of a contour.
- The figure below displays convexity defects of a hand contour:
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour</code> - Input contour.</dd>
- <dd><code>convexhull</code> - Convex hull obtained using convexHull that should contain indices of the contour
- points that make the hull.</dd>
- <dd><code>convexityDefects</code> - The output vector of convexity defects. In C++ and the new Python/Java
- interface each convexity defect is represented as 4-element integer vector (a.k.a. #Vec4i):
- (start_index, end_index, farthest_pt_index, fixpt_depth), where indices are 0-based indices
- in the original contour of the convexity defect beginning, end and the farthest point, and
- fixpt_depth is fixed-point approximation (with 8 fractional bits) of the distance between the
- farthest contour point and the hull. That is, to get the floating-point value of the depth will be
- fixpt_depth/256.0.</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerEigenValsAndVecs-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
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- <pre>public static void cornerEigenValsAndVecs(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize)</pre>
- <div class="block">Calculates eigenvalues and eigenvectors of image blocks for corner detection.
- For every pixel \(p\) , the function cornerEigenValsAndVecs considers a blockSize \(\times\) blockSize
- neighborhood \(S(p)\) . It calculates the covariation matrix of derivatives over the neighborhood as:
- \(M = \begin{bmatrix} \sum _{S(p)}(dI/dx)^2 & \sum _{S(p)}dI/dx dI/dy \\ \sum _{S(p)}dI/dx dI/dy & \sum _{S(p)}(dI/dy)^2 \end{bmatrix}\)
- where the derivatives are computed using the Sobel operator.
- After that, it finds eigenvectors and eigenvalues of \(M\) and stores them in the destination image as
- \((\lambda_1, \lambda_2, x_1, y_1, x_2, y_2)\) where
- <ul>
- <li>
- \(\lambda_1, \lambda_2\) are the non-sorted eigenvalues of \(M\)
- </li>
- <li>
- \(x_1, y_1\) are the eigenvectors corresponding to \(\lambda_1\)
- </li>
- <li>
- \(x_2, y_2\) are the eigenvectors corresponding to \(\lambda_2\)
- </li>
- </ul>
- The output of the function can be used for robust edge or corner detection.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the results. It has the same size as src and the type CV_32FC(6) .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see details below).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.
- SEE: cornerMinEigenVal, cornerHarris, preCornerDetect</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerEigenValsAndVecs-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
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- <h4>cornerEigenValsAndVecs</h4>
- <pre>public static void cornerEigenValsAndVecs(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- int borderType)</pre>
- <div class="block">Calculates eigenvalues and eigenvectors of image blocks for corner detection.
- For every pixel \(p\) , the function cornerEigenValsAndVecs considers a blockSize \(\times\) blockSize
- neighborhood \(S(p)\) . It calculates the covariation matrix of derivatives over the neighborhood as:
- \(M = \begin{bmatrix} \sum _{S(p)}(dI/dx)^2 & \sum _{S(p)}dI/dx dI/dy \\ \sum _{S(p)}dI/dx dI/dy & \sum _{S(p)}(dI/dy)^2 \end{bmatrix}\)
- where the derivatives are computed using the Sobel operator.
- After that, it finds eigenvectors and eigenvalues of \(M\) and stores them in the destination image as
- \((\lambda_1, \lambda_2, x_1, y_1, x_2, y_2)\) where
- <ul>
- <li>
- \(\lambda_1, \lambda_2\) are the non-sorted eigenvalues of \(M\)
- </li>
- <li>
- \(x_1, y_1\) are the eigenvectors corresponding to \(\lambda_1\)
- </li>
- <li>
- \(x_2, y_2\) are the eigenvectors corresponding to \(\lambda_2\)
- </li>
- </ul>
- The output of the function can be used for robust edge or corner detection.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the results. It has the same size as src and the type CV_32FC(6) .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see details below).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.
- SEE: cornerMinEigenVal, cornerHarris, preCornerDetect</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerHarris-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-">
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- <h4>cornerHarris</h4>
- <pre>public static void cornerHarris(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- double k)</pre>
- <div class="block">Harris corner detector.
- The function runs the Harris corner detector on the image. Similarly to cornerMinEigenVal and
- cornerEigenValsAndVecs , for each pixel \((x, y)\) it calculates a \(2\times2\) gradient covariance
- matrix \(M^{(x,y)}\) over a \(\texttt{blockSize} \times \texttt{blockSize}\) neighborhood. Then, it
- computes the following characteristic:
- \(\texttt{dst} (x,y) = \mathrm{det} M^{(x,y)} - k \cdot \left ( \mathrm{tr} M^{(x,y)} \right )^2\)
- Corners in the image can be found as the local maxima of this response map.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the Harris detector responses. It has the type CV_32FC1 and the same
- size as src .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see the details on #cornerEigenValsAndVecs ).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.</dd>
- <dd><code>k</code> - Harris detector free parameter. See the formula above.</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerHarris-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-int-">
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- <h4>cornerHarris</h4>
- <pre>public static void cornerHarris(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- double k,
- int borderType)</pre>
- <div class="block">Harris corner detector.
- The function runs the Harris corner detector on the image. Similarly to cornerMinEigenVal and
- cornerEigenValsAndVecs , for each pixel \((x, y)\) it calculates a \(2\times2\) gradient covariance
- matrix \(M^{(x,y)}\) over a \(\texttt{blockSize} \times \texttt{blockSize}\) neighborhood. Then, it
- computes the following characteristic:
- \(\texttt{dst} (x,y) = \mathrm{det} M^{(x,y)} - k \cdot \left ( \mathrm{tr} M^{(x,y)} \right )^2\)
- Corners in the image can be found as the local maxima of this response map.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the Harris detector responses. It has the type CV_32FC1 and the same
- size as src .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see the details on #cornerEigenValsAndVecs ).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.</dd>
- <dd><code>k</code> - Harris detector free parameter. See the formula above.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.</dd>
- </dl>
- </li>
- </ul>
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- <h4>cornerMinEigenVal</h4>
- <pre>public static void cornerMinEigenVal(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize)</pre>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.
- The function is similar to cornerEigenValsAndVecs but it calculates and stores only the minimal
- eigenvalue of the covariance matrix of derivatives, that is, \(\min(\lambda_1, \lambda_2)\) in terms
- of the formulae in the cornerEigenValsAndVecs description.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the minimal eigenvalues. It has the type CV_32FC1 and the same size as
- src .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see the details on #cornerEigenValsAndVecs ).</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerMinEigenVal-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
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- </a>
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- <h4>cornerMinEigenVal</h4>
- <pre>public static void cornerMinEigenVal(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize)</pre>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.
- The function is similar to cornerEigenValsAndVecs but it calculates and stores only the minimal
- eigenvalue of the covariance matrix of derivatives, that is, \(\min(\lambda_1, \lambda_2)\) in terms
- of the formulae in the cornerEigenValsAndVecs description.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the minimal eigenvalues. It has the type CV_32FC1 and the same size as
- src .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see the details on #cornerEigenValsAndVecs ).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerMinEigenVal-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>cornerMinEigenVal</h4>
- <pre>public static void cornerMinEigenVal(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int blockSize,
- int ksize,
- int borderType)</pre>
- <div class="block">Calculates the minimal eigenvalue of gradient matrices for corner detection.
- The function is similar to cornerEigenValsAndVecs but it calculates and stores only the minimal
- eigenvalue of the covariance matrix of derivatives, that is, \(\min(\lambda_1, \lambda_2)\) in terms
- of the formulae in the cornerEigenValsAndVecs description.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Input single-channel 8-bit or floating-point image.</dd>
- <dd><code>dst</code> - Image to store the minimal eigenvalues. It has the type CV_32FC1 and the same size as
- src .</dd>
- <dd><code>blockSize</code> - Neighborhood size (see the details on #cornerEigenValsAndVecs ).</dd>
- <dd><code>ksize</code> - Aperture parameter for the Sobel operator.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.</dd>
- </dl>
- </li>
- </ul>
- <a name="cornerSubPix-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Size-org.opencv.core.TermCriteria-">
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- <h4>cornerSubPix</h4>
- <pre>public static void cornerSubPix(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> zeroZone,
- <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> criteria)</pre>
- <div class="block">Refines the corner locations.
- The function iterates to find the sub-pixel accurate location of corners or radial saddle
- points as described in CITE: forstner1987fast, and as shown on the figure below.
- 
- Sub-pixel accurate corner locator is based on the observation that every vector from the center \(q\)
- to a point \(p\) located within a neighborhood of \(q\) is orthogonal to the image gradient at \(p\)
- subject to image and measurement noise. Consider the expression:
- \(\epsilon _i = {DI_{p_i}}^T \cdot (q - p_i)\)
- where \({DI_{p_i}}\) is an image gradient at one of the points \(p_i\) in a neighborhood of \(q\) . The
- value of \(q\) is to be found so that \(\epsilon_i\) is minimized. A system of equations may be set up
- with \(\epsilon_i\) set to zero:
- \(\sum _i(DI_{p_i} \cdot {DI_{p_i}}^T) \cdot q - \sum _i(DI_{p_i} \cdot {DI_{p_i}}^T \cdot p_i)\)
- where the gradients are summed within a neighborhood ("search window") of \(q\) . Calling the first
- gradient term \(G\) and the second gradient term \(b\) gives:
- \(q = G^{-1} \cdot b\)
- The algorithm sets the center of the neighborhood window at this new center \(q\) and then iterates
- until the center stays within a set threshold.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input single-channel, 8-bit or float image.</dd>
- <dd><code>corners</code> - Initial coordinates of the input corners and refined coordinates provided for
- output.</dd>
- <dd><code>winSize</code> - Half of the side length of the search window. For example, if winSize=Size(5,5) ,
- then a \((5*2+1) \times (5*2+1) = 11 \times 11\) search window is used.</dd>
- <dd><code>zeroZone</code> - Half of the size of the dead region in the middle of the search zone over which
- the summation in the formula below is not done. It is used sometimes to avoid possible
- singularities of the autocorrelation matrix. The value of (-1,-1) indicates that there is no such
- a size.</dd>
- <dd><code>criteria</code> - Criteria for termination of the iterative process of corner refinement. That is,
- the process of corner position refinement stops either after criteria.maxCount iterations or when
- the corner position moves by less than criteria.epsilon on some iteration.</dd>
- </dl>
- </li>
- </ul>
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- <h4>createCLAHE</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a> createCLAHE()</pre>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.
- equally sized rectangular tiles. tileGridSize defines the number of tiles in row and column.</div>
- <dl>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>createCLAHE</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a> createCLAHE(double clipLimit)</pre>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>clipLimit</code> - Threshold for contrast limiting.
- equally sized rectangular tiles. tileGridSize defines the number of tiles in row and column.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createCLAHE-double-org.opencv.core.Size-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>createCLAHE</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/CLAHE.html" title="class in org.opencv.imgproc">CLAHE</a> createCLAHE(double clipLimit,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> tileGridSize)</pre>
- <div class="block">Creates a smart pointer to a cv::CLAHE class and initializes it.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>clipLimit</code> - Threshold for contrast limiting.</dd>
- <dd><code>tileGridSize</code> - Size of grid for histogram equalization. Input image will be divided into
- equally sized rectangular tiles. tileGridSize defines the number of tiles in row and column.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createGeneralizedHoughBallard--">
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- </a>
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- <li class="blockList">
- <h4>createGeneralizedHoughBallard</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/GeneralizedHoughBallard.html" title="class in org.opencv.imgproc">GeneralizedHoughBallard</a> createGeneralizedHoughBallard()</pre>
- <div class="block">Creates a smart pointer to a cv::GeneralizedHoughBallard class and initializes it.</div>
- <dl>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createGeneralizedHoughGuil--">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>createGeneralizedHoughGuil</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/GeneralizedHoughGuil.html" title="class in org.opencv.imgproc">GeneralizedHoughGuil</a> createGeneralizedHoughGuil()</pre>
- <div class="block">Creates a smart pointer to a cv::GeneralizedHoughGuil class and initializes it.</div>
- <dl>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <h4>createHanningWindow</h4>
- <pre>public static void createHanningWindow(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> winSize,
- int type)</pre>
- <div class="block">This function computes a Hanning window coefficients in two dimensions.
- See (http://en.wikipedia.org/wiki/Hann_function) and (http://en.wikipedia.org/wiki/Window_function)
- for more information.
- An example is shown below:
- <code>
- // create hanning window of size 100x100 and type CV_32F
- Mat hann;
- createHanningWindow(hann, Size(100, 100), CV_32F);
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>dst</code> - Destination array to place Hann coefficients in</dd>
- <dd><code>winSize</code> - The window size specifications (both width and height must be > 1)</dd>
- <dd><code>type</code> - Created array type</dd>
- </dl>
- </li>
- </ul>
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- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector()</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createLineSegmentDetector-int-">
- <!-- -->
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- <ul class="blockList">
- <li class="blockList">
- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createLineSegmentDetector-int-double-double-double-">
- <!-- -->
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- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale,
- double quant)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dd><code>quant</code> - Bound to the quantization error on the gradient norm.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
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- <!-- -->
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- <ul class="blockList">
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- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dd><code>quant</code> - Bound to the quantization error on the gradient norm.</dd>
- <dd><code>ang_th</code> - Gradient angle tolerance in degrees.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createLineSegmentDetector-int-double-double-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dd><code>quant</code> - Bound to the quantization error on the gradient norm.</dd>
- <dd><code>ang_th</code> - Gradient angle tolerance in degrees.</dd>
- <dd><code>log_eps</code> - Detection threshold: -log10(NFA) > log_eps. Used only when advance refinement is chosen.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createLineSegmentDetector-int-double-double-double-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps,
- double density_th)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dd><code>quant</code> - Bound to the quantization error on the gradient norm.</dd>
- <dd><code>ang_th</code> - Gradient angle tolerance in degrees.</dd>
- <dd><code>log_eps</code> - Detection threshold: -log10(NFA) > log_eps. Used only when advance refinement is chosen.</dd>
- <dd><code>density_th</code> - Minimal density of aligned region points in the enclosing rectangle.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="createLineSegmentDetector-int-double-double-double-double-double-double-int-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>createLineSegmentDetector</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a> createLineSegmentDetector(int refine,
- double scale,
- double sigma_scale,
- double quant,
- double ang_th,
- double log_eps,
- double density_th,
- int n_bins)</pre>
- <div class="block">Creates a smart pointer to a LineSegmentDetector object and initializes it.
- The LineSegmentDetector algorithm is defined using the standard values. Only advanced users may want
- to edit those, as to tailor it for their own application.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>refine</code> - The way found lines will be refined, see #LineSegmentDetectorModes</dd>
- <dd><code>scale</code> - The scale of the image that will be used to find the lines. Range (0..1].</dd>
- <dd><code>sigma_scale</code> - Sigma for Gaussian filter. It is computed as sigma = sigma_scale/scale.</dd>
- <dd><code>quant</code> - Bound to the quantization error on the gradient norm.</dd>
- <dd><code>ang_th</code> - Gradient angle tolerance in degrees.</dd>
- <dd><code>log_eps</code> - Detection threshold: -log10(NFA) > log_eps. Used only when advance refinement is chosen.</dd>
- <dd><code>density_th</code> - Minimal density of aligned region points in the enclosing rectangle.</dd>
- <dd><code>n_bins</code> - Number of bins in pseudo-ordering of gradient modulus.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="cvtColor-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>cvtColor</h4>
- <pre>public static void cvtColor(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</pre>
- <div class="block">Converts an image from one color space to another.
- The function converts an input image from one color space to another. In case of a transformation
- to-from RGB color space, the order of the channels should be specified explicitly (RGB or BGR). Note
- that the default color format in OpenCV is often referred to as RGB but it is actually BGR (the
- bytes are reversed). So the first byte in a standard (24-bit) color image will be an 8-bit Blue
- component, the second byte will be Green, and the third byte will be Red. The fourth, fifth, and
- sixth bytes would then be the second pixel (Blue, then Green, then Red), and so on.
- The conventional ranges for R, G, and B channel values are:
- <ul>
- <li>
- 0 to 255 for CV_8U images
- </li>
- <li>
- 0 to 65535 for CV_16U images
- </li>
- <li>
- 0 to 1 for CV_32F images
- </li>
- </ul>
- In case of linear transformations, the range does not matter. But in case of a non-linear
- transformation, an input RGB image should be normalized to the proper value range to get the correct
- results, for example, for RGB \(\rightarrow\) L\*u\*v\* transformation. For example, if you have a
- 32-bit floating-point image directly converted from an 8-bit image without any scaling, then it will
- have the 0..255 value range instead of 0..1 assumed by the function. So, before calling #cvtColor ,
- you need first to scale the image down:
- <code>
- img *= 1./255;
- cvtColor(img, img, COLOR_BGR2Luv);
- </code>
- If you use #cvtColor with 8-bit images, the conversion will have some information lost. For many
- applications, this will not be noticeable but it is recommended to use 32-bit images in applications
- that need the full range of colors or that convert an image before an operation and then convert
- back.
- If conversion adds the alpha channel, its value will set to the maximum of corresponding channel
- range: 255 for CV_8U, 65535 for CV_16U, 1 for CV_32F.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image: 8-bit unsigned, 16-bit unsigned ( CV_16UC... ), or single-precision
- floating-point.</dd>
- <dd><code>dst</code> - output image of the same size and depth as src.</dd>
- <dd><code>code</code> - color space conversion code (see #ColorConversionCodes).
- channels is derived automatically from src and code.
- SEE: REF: imgproc_color_conversions</dd>
- </dl>
- </li>
- </ul>
- <a name="cvtColor-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>cvtColor</h4>
- <pre>public static void cvtColor(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code,
- int dstCn)</pre>
- <div class="block">Converts an image from one color space to another.
- The function converts an input image from one color space to another. In case of a transformation
- to-from RGB color space, the order of the channels should be specified explicitly (RGB or BGR). Note
- that the default color format in OpenCV is often referred to as RGB but it is actually BGR (the
- bytes are reversed). So the first byte in a standard (24-bit) color image will be an 8-bit Blue
- component, the second byte will be Green, and the third byte will be Red. The fourth, fifth, and
- sixth bytes would then be the second pixel (Blue, then Green, then Red), and so on.
- The conventional ranges for R, G, and B channel values are:
- <ul>
- <li>
- 0 to 255 for CV_8U images
- </li>
- <li>
- 0 to 65535 for CV_16U images
- </li>
- <li>
- 0 to 1 for CV_32F images
- </li>
- </ul>
- In case of linear transformations, the range does not matter. But in case of a non-linear
- transformation, an input RGB image should be normalized to the proper value range to get the correct
- results, for example, for RGB \(\rightarrow\) L\*u\*v\* transformation. For example, if you have a
- 32-bit floating-point image directly converted from an 8-bit image without any scaling, then it will
- have the 0..255 value range instead of 0..1 assumed by the function. So, before calling #cvtColor ,
- you need first to scale the image down:
- <code>
- img *= 1./255;
- cvtColor(img, img, COLOR_BGR2Luv);
- </code>
- If you use #cvtColor with 8-bit images, the conversion will have some information lost. For many
- applications, this will not be noticeable but it is recommended to use 32-bit images in applications
- that need the full range of colors or that convert an image before an operation and then convert
- back.
- If conversion adds the alpha channel, its value will set to the maximum of corresponding channel
- range: 255 for CV_8U, 65535 for CV_16U, 1 for CV_32F.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image: 8-bit unsigned, 16-bit unsigned ( CV_16UC... ), or single-precision
- floating-point.</dd>
- <dd><code>dst</code> - output image of the same size and depth as src.</dd>
- <dd><code>code</code> - color space conversion code (see #ColorConversionCodes).</dd>
- <dd><code>dstCn</code> - number of channels in the destination image; if the parameter is 0, the number of the
- channels is derived automatically from src and code.
- SEE: REF: imgproc_color_conversions</dd>
- </dl>
- </li>
- </ul>
- <a name="cvtColorTwoPlane-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>cvtColorTwoPlane</h4>
- <pre>public static void cvtColorTwoPlane(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</pre>
- <div class="block">Converts an image from one color space to another where the source image is
- stored in two planes.
- This function only supports YUV420 to RGB conversion as of now.
- <ul>
- <li>
- #COLOR_YUV2BGR_NV12
- </li>
- <li>
- #COLOR_YUV2RGB_NV12
- </li>
- <li>
- #COLOR_YUV2BGRA_NV12
- </li>
- <li>
- #COLOR_YUV2RGBA_NV12
- </li>
- <li>
- #COLOR_YUV2BGR_NV21
- </li>
- <li>
- #COLOR_YUV2RGB_NV21
- </li>
- <li>
- #COLOR_YUV2BGRA_NV21
- </li>
- <li>
- #COLOR_YUV2RGBA_NV21
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - automatically generated</dd>
- <dd><code>src2</code> - automatically generated</dd>
- <dd><code>dst</code> - automatically generated</dd>
- <dd><code>code</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="demosaicing-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>demosaicing</h4>
- <pre>public static void demosaicing(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code)</pre>
- <div class="block">main function for all demosaicing processes</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image: 8-bit unsigned or 16-bit unsigned.</dd>
- <dd><code>dst</code> - output image of the same size and depth as src.</dd>
- <dd><code>code</code> - Color space conversion code (see the description below).
- channels is derived automatically from src and code.
- The function can do the following transformations:
- <ul>
- <li>
- Demosaicing using bilinear interpolation
- </li>
- </ul>
- #COLOR_BayerBG2BGR , #COLOR_BayerGB2BGR , #COLOR_BayerRG2BGR , #COLOR_BayerGR2BGR
- #COLOR_BayerBG2GRAY , #COLOR_BayerGB2GRAY , #COLOR_BayerRG2GRAY , #COLOR_BayerGR2GRAY
- <ul>
- <li>
- Demosaicing using Variable Number of Gradients.
- </li>
- </ul>
- #COLOR_BayerBG2BGR_VNG , #COLOR_BayerGB2BGR_VNG , #COLOR_BayerRG2BGR_VNG , #COLOR_BayerGR2BGR_VNG
- <ul>
- <li>
- Edge-Aware Demosaicing.
- </li>
- </ul>
- #COLOR_BayerBG2BGR_EA , #COLOR_BayerGB2BGR_EA , #COLOR_BayerRG2BGR_EA , #COLOR_BayerGR2BGR_EA
- <ul>
- <li>
- Demosaicing with alpha channel
- </li>
- </ul>
- #COLOR_BayerBG2BGRA , #COLOR_BayerGB2BGRA , #COLOR_BayerRG2BGRA , #COLOR_BayerGR2BGRA
- SEE: cvtColor</dd>
- </dl>
- </li>
- </ul>
- <a name="demosaicing-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>demosaicing</h4>
- <pre>public static void demosaicing(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int code,
- int dstCn)</pre>
- <div class="block">main function for all demosaicing processes</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image: 8-bit unsigned or 16-bit unsigned.</dd>
- <dd><code>dst</code> - output image of the same size and depth as src.</dd>
- <dd><code>code</code> - Color space conversion code (see the description below).</dd>
- <dd><code>dstCn</code> - number of channels in the destination image; if the parameter is 0, the number of the
- channels is derived automatically from src and code.
- The function can do the following transformations:
- <ul>
- <li>
- Demosaicing using bilinear interpolation
- </li>
- </ul>
- #COLOR_BayerBG2BGR , #COLOR_BayerGB2BGR , #COLOR_BayerRG2BGR , #COLOR_BayerGR2BGR
- #COLOR_BayerBG2GRAY , #COLOR_BayerGB2GRAY , #COLOR_BayerRG2GRAY , #COLOR_BayerGR2GRAY
- <ul>
- <li>
- Demosaicing using Variable Number of Gradients.
- </li>
- </ul>
- #COLOR_BayerBG2BGR_VNG , #COLOR_BayerGB2BGR_VNG , #COLOR_BayerRG2BGR_VNG , #COLOR_BayerGR2BGR_VNG
- <ul>
- <li>
- Edge-Aware Demosaicing.
- </li>
- </ul>
- #COLOR_BayerBG2BGR_EA , #COLOR_BayerGB2BGR_EA , #COLOR_BayerRG2BGR_EA , #COLOR_BayerGR2BGR_EA
- <ul>
- <li>
- Demosaicing with alpha channel
- </li>
- </ul>
- #COLOR_BayerBG2BGRA , #COLOR_BayerGB2BGRA , #COLOR_BayerRG2BGRA , #COLOR_BayerGR2BGRA
- SEE: cvtColor</dd>
- </dl>
- </li>
- </ul>
- <a name="dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>dilate</h4>
- <pre>public static void dilate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</pre>
- <div class="block">Dilates an image by using a specific structuring element.
- The function dilates the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the maximum is taken:
- \(\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for dilation; if element=Mat(), a 3 x 3 rectangular
- structuring element is used. Kernel can be created using #getStructuringElement
- anchor is at the element center.
- SEE: erode, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>dilate</h4>
- <pre>public static void dilate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Dilates an image by using a specific structuring element.
- The function dilates the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the maximum is taken:
- \(\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for dilation; if element=Mat(), a 3 x 3 rectangular
- structuring element is used. Kernel can be created using #getStructuringElement</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.
- SEE: erode, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>dilate</h4>
- <pre>public static void dilate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</pre>
- <div class="block">Dilates an image by using a specific structuring element.
- The function dilates the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the maximum is taken:
- \(\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for dilation; if element=Mat(), a 3 x 3 rectangular
- structuring element is used. Kernel can be created using #getStructuringElement</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times dilation is applied.
- SEE: erode, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>dilate</h4>
- <pre>public static void dilate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</pre>
- <div class="block">Dilates an image by using a specific structuring element.
- The function dilates the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the maximum is taken:
- \(\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for dilation; if element=Mat(), a 3 x 3 rectangular
- structuring element is used. Kernel can be created using #getStructuringElement</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times dilation is applied.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not suported.
- SEE: erode, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="dilate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>dilate</h4>
- <pre>public static void dilate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Dilates an image by using a specific structuring element.
- The function dilates the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the maximum is taken:
- \(\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for dilation; if element=Mat(), a 3 x 3 rectangular
- structuring element is used. Kernel can be created using #getStructuringElement</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times dilation is applied.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not suported.</dd>
- <dd><code>borderValue</code> - border value in case of a constant border
- SEE: erode, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="distanceTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>distanceTransform</h4>
- <pre>public static void distanceTransform(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int distanceType,
- int maskSize)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - 8-bit, single-channel (binary) source image.</dd>
- <dd><code>dst</code> - Output image with calculated distances. It is a 8-bit or 32-bit floating-point,
- single-channel image of the same size as src .</dd>
- <dd><code>distanceType</code> - Type of distance, see #DistanceTypes</dd>
- <dd><code>maskSize</code> - Size of the distance transform mask, see #DistanceTransformMasks. In case of the
- #DIST_L1 or #DIST_C distance type, the parameter is forced to 3 because a \(3\times 3\) mask gives
- the same result as \(5\times 5\) or any larger aperture.
- the first variant of the function and distanceType == #DIST_L1.</dd>
- </dl>
- </li>
- </ul>
- <a name="distanceTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>distanceTransform</h4>
- <pre>public static void distanceTransform(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int distanceType,
- int maskSize,
- int dstType)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - 8-bit, single-channel (binary) source image.</dd>
- <dd><code>dst</code> - Output image with calculated distances. It is a 8-bit or 32-bit floating-point,
- single-channel image of the same size as src .</dd>
- <dd><code>distanceType</code> - Type of distance, see #DistanceTypes</dd>
- <dd><code>maskSize</code> - Size of the distance transform mask, see #DistanceTransformMasks. In case of the
- #DIST_L1 or #DIST_C distance type, the parameter is forced to 3 because a \(3\times 3\) mask gives
- the same result as \(5\times 5\) or any larger aperture.</dd>
- <dd><code>dstType</code> - Type of output image. It can be CV_8U or CV_32F. Type CV_8U can be used only for
- the first variant of the function and distanceType == #DIST_L1.</dd>
- </dl>
- </li>
- </ul>
- <a name="distanceTransformWithLabels-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>distanceTransformWithLabels</h4>
- <pre>public static void distanceTransformWithLabels(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int distanceType,
- int maskSize)</pre>
- <div class="block">Calculates the distance to the closest zero pixel for each pixel of the source image.
- The function cv::distanceTransform calculates the approximate or precise distance from every binary
- image pixel to the nearest zero pixel. For zero image pixels, the distance will obviously be zero.
- When maskSize == #DIST_MASK_PRECISE and distanceType == #DIST_L2 , the function runs the
- algorithm described in CITE: Felzenszwalb04 . This algorithm is parallelized with the TBB library.
- In other cases, the algorithm CITE: Borgefors86 is used. This means that for a pixel the function
- finds the shortest path to the nearest zero pixel consisting of basic shifts: horizontal, vertical,
- diagonal, or knight's move (the latest is available for a \(5\times 5\) mask). The overall
- distance is calculated as a sum of these basic distances. Since the distance function should be
- symmetric, all of the horizontal and vertical shifts must have the same cost (denoted as a ), all
- the diagonal shifts must have the same cost (denoted as <code>b</code>), and all knight's moves must have the
- same cost (denoted as <code>c</code>). For the #DIST_C and #DIST_L1 types, the distance is calculated
- precisely, whereas for #DIST_L2 (Euclidean distance) the distance can be calculated only with a
- relative error (a \(5\times 5\) mask gives more accurate results). For <code>a</code>,<code>b</code>, and <code>c</code>, OpenCV
- uses the values suggested in the original paper:
- <ul>
- <li>
- DIST_L1: <code>a = 1, b = 2</code>
- </li>
- <li>
- DIST_L2:
- <ul>
- <li>
- <code>3 x 3</code>: <code>a=0.955, b=1.3693</code>
- </li>
- <li>
- <code>5 x 5</code>: <code>a=1, b=1.4, c=2.1969</code>
- </li>
- </ul>
- <li>
- DIST_C: <code>a = 1, b = 1</code>
- </li>
- </ul>
- Typically, for a fast, coarse distance estimation #DIST_L2, a \(3\times 3\) mask is used. For a
- more accurate distance estimation #DIST_L2, a \(5\times 5\) mask or the precise algorithm is used.
- Note that both the precise and the approximate algorithms are linear on the number of pixels.
- This variant of the function does not only compute the minimum distance for each pixel \((x, y)\)
- but also identifies the nearest connected component consisting of zero pixels
- (labelType==#DIST_LABEL_CCOMP) or the nearest zero pixel (labelType==#DIST_LABEL_PIXEL). Index of the
- component/pixel is stored in <code>labels(x, y)</code>. When labelType==#DIST_LABEL_CCOMP, the function
- automatically finds connected components of zero pixels in the input image and marks them with
- distinct labels. When labelType==#DIST_LABEL_PIXEL, the function scans through the input image and
- marks all the zero pixels with distinct labels.
- In this mode, the complexity is still linear. That is, the function provides a very fast way to
- compute the Voronoi diagram for a binary image. Currently, the second variant can use only the
- approximate distance transform algorithm, i.e. maskSize=#DIST_MASK_PRECISE is not supported
- yet.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - 8-bit, single-channel (binary) source image.</dd>
- <dd><code>dst</code> - Output image with calculated distances. It is a 8-bit or 32-bit floating-point,
- single-channel image of the same size as src.</dd>
- <dd><code>labels</code> - Output 2D array of labels (the discrete Voronoi diagram). It has the type
- CV_32SC1 and the same size as src.</dd>
- <dd><code>distanceType</code> - Type of distance, see #DistanceTypes</dd>
- <dd><code>maskSize</code> - Size of the distance transform mask, see #DistanceTransformMasks.
- #DIST_MASK_PRECISE is not supported by this variant. In case of the #DIST_L1 or #DIST_C distance type,
- the parameter is forced to 3 because a \(3\times 3\) mask gives the same result as \(5\times
- 5\) or any larger aperture.</dd>
- </dl>
- </li>
- </ul>
- <a name="distanceTransformWithLabels-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>distanceTransformWithLabels</h4>
- <pre>public static void distanceTransformWithLabels(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> labels,
- int distanceType,
- int maskSize,
- int labelType)</pre>
- <div class="block">Calculates the distance to the closest zero pixel for each pixel of the source image.
- The function cv::distanceTransform calculates the approximate or precise distance from every binary
- image pixel to the nearest zero pixel. For zero image pixels, the distance will obviously be zero.
- When maskSize == #DIST_MASK_PRECISE and distanceType == #DIST_L2 , the function runs the
- algorithm described in CITE: Felzenszwalb04 . This algorithm is parallelized with the TBB library.
- In other cases, the algorithm CITE: Borgefors86 is used. This means that for a pixel the function
- finds the shortest path to the nearest zero pixel consisting of basic shifts: horizontal, vertical,
- diagonal, or knight's move (the latest is available for a \(5\times 5\) mask). The overall
- distance is calculated as a sum of these basic distances. Since the distance function should be
- symmetric, all of the horizontal and vertical shifts must have the same cost (denoted as a ), all
- the diagonal shifts must have the same cost (denoted as <code>b</code>), and all knight's moves must have the
- same cost (denoted as <code>c</code>). For the #DIST_C and #DIST_L1 types, the distance is calculated
- precisely, whereas for #DIST_L2 (Euclidean distance) the distance can be calculated only with a
- relative error (a \(5\times 5\) mask gives more accurate results). For <code>a</code>,<code>b</code>, and <code>c</code>, OpenCV
- uses the values suggested in the original paper:
- <ul>
- <li>
- DIST_L1: <code>a = 1, b = 2</code>
- </li>
- <li>
- DIST_L2:
- <ul>
- <li>
- <code>3 x 3</code>: <code>a=0.955, b=1.3693</code>
- </li>
- <li>
- <code>5 x 5</code>: <code>a=1, b=1.4, c=2.1969</code>
- </li>
- </ul>
- <li>
- DIST_C: <code>a = 1, b = 1</code>
- </li>
- </ul>
- Typically, for a fast, coarse distance estimation #DIST_L2, a \(3\times 3\) mask is used. For a
- more accurate distance estimation #DIST_L2, a \(5\times 5\) mask or the precise algorithm is used.
- Note that both the precise and the approximate algorithms are linear on the number of pixels.
- This variant of the function does not only compute the minimum distance for each pixel \((x, y)\)
- but also identifies the nearest connected component consisting of zero pixels
- (labelType==#DIST_LABEL_CCOMP) or the nearest zero pixel (labelType==#DIST_LABEL_PIXEL). Index of the
- component/pixel is stored in <code>labels(x, y)</code>. When labelType==#DIST_LABEL_CCOMP, the function
- automatically finds connected components of zero pixels in the input image and marks them with
- distinct labels. When labelType==#DIST_LABEL_PIXEL, the function scans through the input image and
- marks all the zero pixels with distinct labels.
- In this mode, the complexity is still linear. That is, the function provides a very fast way to
- compute the Voronoi diagram for a binary image. Currently, the second variant can use only the
- approximate distance transform algorithm, i.e. maskSize=#DIST_MASK_PRECISE is not supported
- yet.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - 8-bit, single-channel (binary) source image.</dd>
- <dd><code>dst</code> - Output image with calculated distances. It is a 8-bit or 32-bit floating-point,
- single-channel image of the same size as src.</dd>
- <dd><code>labels</code> - Output 2D array of labels (the discrete Voronoi diagram). It has the type
- CV_32SC1 and the same size as src.</dd>
- <dd><code>distanceType</code> - Type of distance, see #DistanceTypes</dd>
- <dd><code>maskSize</code> - Size of the distance transform mask, see #DistanceTransformMasks.
- #DIST_MASK_PRECISE is not supported by this variant. In case of the #DIST_L1 or #DIST_C distance type,
- the parameter is forced to 3 because a \(3\times 3\) mask gives the same result as \(5\times
- 5\) or any larger aperture.</dd>
- <dd><code>labelType</code> - Type of the label array to build, see #DistanceTransformLabelTypes.</dd>
- </dl>
- </li>
- </ul>
- <a name="divSpectrums-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>divSpectrums</h4>
- <pre>public static void divSpectrums(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> a,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> b,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> c,
- int flags)</pre>
- <div class="block">Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.
- The function cv::divSpectrums performs the per-element division of the first array by the second array.
- The arrays are CCS-packed or complex matrices that are results of a real or complex Fourier transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>a</code> - first input array.</dd>
- <dd><code>b</code> - second input array of the same size and type as src1 .</dd>
- <dd><code>c</code> - output array of the same size and type as src1 .</dd>
- <dd><code>flags</code> - operation flags; currently, the only supported flag is cv::DFT_ROWS, which indicates that
- each row of src1 and src2 is an independent 1D Fourier spectrum. If you do not want to use this flag, then simply add a <code>0</code> as value.
- or not (false).</dd>
- </dl>
- </li>
- </ul>
- <a name="divSpectrums-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>divSpectrums</h4>
- <pre>public static void divSpectrums(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> a,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> b,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> c,
- int flags,
- boolean conjB)</pre>
- <div class="block">Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.
- The function cv::divSpectrums performs the per-element division of the first array by the second array.
- The arrays are CCS-packed or complex matrices that are results of a real or complex Fourier transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>a</code> - first input array.</dd>
- <dd><code>b</code> - second input array of the same size and type as src1 .</dd>
- <dd><code>c</code> - output array of the same size and type as src1 .</dd>
- <dd><code>flags</code> - operation flags; currently, the only supported flag is cv::DFT_ROWS, which indicates that
- each row of src1 and src2 is an independent 1D Fourier spectrum. If you do not want to use this flag, then simply add a <code>0</code> as value.</dd>
- <dd><code>conjB</code> - optional flag that conjugates the second input array before the multiplication (true)
- or not (false).</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.
- thickness=#FILLED ), the contour interiors are drawn.
- some of the contours (see maxLevel ).
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.</dd>
- <dd><code>thickness</code> - Thickness of lines the contours are drawn with. If it is negative (for example,
- thickness=#FILLED ), the contour interiors are drawn.
- some of the contours (see maxLevel ).
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.</dd>
- <dd><code>thickness</code> - Thickness of lines the contours are drawn with. If it is negative (for example,
- thickness=#FILLED ), the contour interiors are drawn.</dd>
- <dd><code>lineType</code> - Line connectivity. See #LineTypes
- some of the contours (see maxLevel ).
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.</dd>
- <dd><code>thickness</code> - Thickness of lines the contours are drawn with. If it is negative (for example,
- thickness=#FILLED ), the contour interiors are drawn.</dd>
- <dd><code>lineType</code> - Line connectivity. See #LineTypes</dd>
- <dd><code>hierarchy</code> - Optional information about hierarchy. It is only needed if you want to draw only
- some of the contours (see maxLevel ).
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int maxLevel)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.</dd>
- <dd><code>thickness</code> - Thickness of lines the contours are drawn with. If it is negative (for example,
- thickness=#FILLED ), the contour interiors are drawn.</dd>
- <dd><code>lineType</code> - Line connectivity. See #LineTypes</dd>
- <dd><code>hierarchy</code> - Optional information about hierarchy. It is only needed if you want to draw only
- some of the contours (see maxLevel ).</dd>
- <dd><code>maxLevel</code> - Maximal level for drawn contours. If it is 0, only the specified contour is drawn.
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawContours-org.opencv.core.Mat-java.util.List-int-org.opencv.core.Scalar-int-int-org.opencv.core.Mat-int-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawContours</h4>
- <pre>public static void drawContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- int contourIdx,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int maxLevel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</pre>
- <div class="block">Draws contours outlines or filled contours.
- The function draws contour outlines in the image if \(\texttt{thickness} \ge 0\) or fills the area
- bounded by the contours if \(\texttt{thickness}<0\) . The example below shows how to retrieve
- connected components from the binary image and label them: :
- INCLUDE: snippets/imgproc_drawContours.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Destination image.</dd>
- <dd><code>contours</code> - All the input contours. Each contour is stored as a point vector.</dd>
- <dd><code>contourIdx</code> - Parameter indicating a contour to draw. If it is negative, all the contours are drawn.</dd>
- <dd><code>color</code> - Color of the contours.</dd>
- <dd><code>thickness</code> - Thickness of lines the contours are drawn with. If it is negative (for example,
- thickness=#FILLED ), the contour interiors are drawn.</dd>
- <dd><code>lineType</code> - Line connectivity. See #LineTypes</dd>
- <dd><code>hierarchy</code> - Optional information about hierarchy. It is only needed if you want to draw only
- some of the contours (see maxLevel ).</dd>
- <dd><code>maxLevel</code> - Maximal level for drawn contours. If it is 0, only the specified contour is drawn.
- If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function
- draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This
- parameter is only taken into account when there is hierarchy available.</dd>
- <dd><code>offset</code> - Optional contour shift parameter. Shift all the drawn contours by the specified
- \(\texttt{offset}=(dx,dy)\) .
- <b>Note:</b> When thickness=#FILLED, the function is designed to handle connected components with holes correctly
- even when no hierarchy data is provided. This is done by analyzing all the outlines together
- using even-odd rule. This may give incorrect results if you have a joint collection of separately retrieved
- contours. In order to solve this problem, you need to call #drawContours separately for each sub-group
- of contours, or iterate over the collection using contourIdx parameter.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-">
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- </a>
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- <h4>drawMarker</h4>
- <pre>public static void drawMarker(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a marker on a predefined position in an image.
- The function cv::drawMarker draws a marker on a given position in the image. For the moment several
- marker types are supported, see #MarkerTypes for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>position</code> - The point where the crosshair is positioned.</dd>
- <dd><code>color</code> - Line color.</dd>
- </dl>
- </li>
- </ul>
- <a name="drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-">
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- <h4>drawMarker</h4>
- <pre>public static void drawMarker(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType)</pre>
- <div class="block">Draws a marker on a predefined position in an image.
- The function cv::drawMarker draws a marker on a given position in the image. For the moment several
- marker types are supported, see #MarkerTypes for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>position</code> - The point where the crosshair is positioned.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>markerType</code> - The specific type of marker you want to use, see #MarkerTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">
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- <h4>drawMarker</h4>
- <pre>public static void drawMarker(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize)</pre>
- <div class="block">Draws a marker on a predefined position in an image.
- The function cv::drawMarker draws a marker on a given position in the image. For the moment several
- marker types are supported, see #MarkerTypes for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>position</code> - The point where the crosshair is positioned.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>markerType</code> - The specific type of marker you want to use, see #MarkerTypes</dd>
- <dd><code>markerSize</code> - The length of the marker axis [default = 20 pixels]</dd>
- </dl>
- </li>
- </ul>
- <a name="drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">
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- <ul class="blockList">
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- <h4>drawMarker</h4>
- <pre>public static void drawMarker(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize,
- int thickness)</pre>
- <div class="block">Draws a marker on a predefined position in an image.
- The function cv::drawMarker draws a marker on a given position in the image. For the moment several
- marker types are supported, see #MarkerTypes for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>position</code> - The point where the crosshair is positioned.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>markerType</code> - The specific type of marker you want to use, see #MarkerTypes</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>markerSize</code> - The length of the marker axis [default = 20 pixels]</dd>
- </dl>
- </li>
- </ul>
- <a name="drawMarker-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>drawMarker</h4>
- <pre>public static void drawMarker(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> position,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int markerType,
- int markerSize,
- int thickness,
- int line_type)</pre>
- <div class="block">Draws a marker on a predefined position in an image.
- The function cv::drawMarker draws a marker on a given position in the image. For the moment several
- marker types are supported, see #MarkerTypes for more information.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>position</code> - The point where the crosshair is positioned.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>markerType</code> - The specific type of marker you want to use, see #MarkerTypes</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>line_type</code> - Type of the line, See #LineTypes</dd>
- <dd><code>markerSize</code> - The length of the marker axis [default = 20 pixels]</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-">
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- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.
- The function cv::ellipse with more parameters draws an ellipse outline, a filled ellipse, an elliptic
- arc, or a filled ellipse sector. The drawing code uses general parametric form.
- A piecewise-linear curve is used to approximate the elliptic arc
- boundary. If you need more control of the ellipse rendering, you can retrieve the curve using
- #ellipse2Poly and then render it with #polylines or fill it with #fillPoly. If you use the first
- variant of the function and want to draw the whole ellipse, not an arc, pass <code>startAngle=0</code> and
- <code>endAngle=360</code>. If <code>startAngle</code> is greater than <code>endAngle</code>, they are swapped. The figure below explains
- the meaning of the parameters to draw the blue arc.
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>center</code> - Center of the ellipse.</dd>
- <dd><code>axes</code> - Half of the size of the ellipse main axes.</dd>
- <dd><code>angle</code> - Ellipse rotation angle in degrees.</dd>
- <dd><code>startAngle</code> - Starting angle of the elliptic arc in degrees.</dd>
- <dd><code>endAngle</code> - Ending angle of the elliptic arc in degrees.</dd>
- <dd><code>color</code> - Ellipse color.
- a filled ellipse sector is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-">
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- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.
- The function cv::ellipse with more parameters draws an ellipse outline, a filled ellipse, an elliptic
- arc, or a filled ellipse sector. The drawing code uses general parametric form.
- A piecewise-linear curve is used to approximate the elliptic arc
- boundary. If you need more control of the ellipse rendering, you can retrieve the curve using
- #ellipse2Poly and then render it with #polylines or fill it with #fillPoly. If you use the first
- variant of the function and want to draw the whole ellipse, not an arc, pass <code>startAngle=0</code> and
- <code>endAngle=360</code>. If <code>startAngle</code> is greater than <code>endAngle</code>, they are swapped. The figure below explains
- the meaning of the parameters to draw the blue arc.
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>center</code> - Center of the ellipse.</dd>
- <dd><code>axes</code> - Half of the size of the ellipse main axes.</dd>
- <dd><code>angle</code> - Ellipse rotation angle in degrees.</dd>
- <dd><code>startAngle</code> - Starting angle of the elliptic arc in degrees.</dd>
- <dd><code>endAngle</code> - Ending angle of the elliptic arc in degrees.</dd>
- <dd><code>color</code> - Ellipse color.</dd>
- <dd><code>thickness</code> - Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that
- a filled ellipse sector is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-int-">
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- <li class="blockList">
- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.
- The function cv::ellipse with more parameters draws an ellipse outline, a filled ellipse, an elliptic
- arc, or a filled ellipse sector. The drawing code uses general parametric form.
- A piecewise-linear curve is used to approximate the elliptic arc
- boundary. If you need more control of the ellipse rendering, you can retrieve the curve using
- #ellipse2Poly and then render it with #polylines or fill it with #fillPoly. If you use the first
- variant of the function and want to draw the whole ellipse, not an arc, pass <code>startAngle=0</code> and
- <code>endAngle=360</code>. If <code>startAngle</code> is greater than <code>endAngle</code>, they are swapped. The figure below explains
- the meaning of the parameters to draw the blue arc.
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>center</code> - Center of the ellipse.</dd>
- <dd><code>axes</code> - Half of the size of the ellipse main axes.</dd>
- <dd><code>angle</code> - Ellipse rotation angle in degrees.</dd>
- <dd><code>startAngle</code> - Starting angle of the elliptic arc in degrees.</dd>
- <dd><code>endAngle</code> - Ending angle of the elliptic arc in degrees.</dd>
- <dd><code>color</code> - Ellipse color.</dd>
- <dd><code>thickness</code> - Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that
- a filled ellipse sector is to be drawn.</dd>
- <dd><code>lineType</code> - Type of the ellipse boundary. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Size-double-double-double-org.opencv.core.Scalar-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- double angle,
- double startAngle,
- double endAngle,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">Draws a simple or thick elliptic arc or fills an ellipse sector.
- The function cv::ellipse with more parameters draws an ellipse outline, a filled ellipse, an elliptic
- arc, or a filled ellipse sector. The drawing code uses general parametric form.
- A piecewise-linear curve is used to approximate the elliptic arc
- boundary. If you need more control of the ellipse rendering, you can retrieve the curve using
- #ellipse2Poly and then render it with #polylines or fill it with #fillPoly. If you use the first
- variant of the function and want to draw the whole ellipse, not an arc, pass <code>startAngle=0</code> and
- <code>endAngle=360</code>. If <code>startAngle</code> is greater than <code>endAngle</code>, they are swapped. The figure below explains
- the meaning of the parameters to draw the blue arc.
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>center</code> - Center of the ellipse.</dd>
- <dd><code>axes</code> - Half of the size of the ellipse main axes.</dd>
- <dd><code>angle</code> - Ellipse rotation angle in degrees.</dd>
- <dd><code>startAngle</code> - Starting angle of the elliptic arc in degrees.</dd>
- <dd><code>endAngle</code> - Ending angle of the elliptic arc in degrees.</dd>
- <dd><code>color</code> - Ellipse color.</dd>
- <dd><code>thickness</code> - Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that
- a filled ellipse sector is to be drawn.</dd>
- <dd><code>lineType</code> - Type of the ellipse boundary. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the coordinates of the center and values of axes.</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>box</code> - Alternative ellipse representation via RotatedRect. This means that the function draws
- an ellipse inscribed in the rotated rectangle.</dd>
- <dd><code>color</code> - Ellipse color.
- a filled ellipse sector is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>box</code> - Alternative ellipse representation via RotatedRect. This means that the function draws
- an ellipse inscribed in the rotated rectangle.</dd>
- <dd><code>color</code> - Ellipse color.</dd>
- <dd><code>thickness</code> - Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that
- a filled ellipse sector is to be drawn.</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse-org.opencv.core.Mat-org.opencv.core.RotatedRect-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>ellipse</h4>
- <pre>public static void ellipse(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> box,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>box</code> - Alternative ellipse representation via RotatedRect. This means that the function draws
- an ellipse inscribed in the rotated rectangle.</dd>
- <dd><code>color</code> - Ellipse color.</dd>
- <dd><code>thickness</code> - Thickness of the ellipse arc outline, if positive. Otherwise, this indicates that
- a filled ellipse sector is to be drawn.</dd>
- <dd><code>lineType</code> - Type of the ellipse boundary. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="ellipse2Poly-org.opencv.core.Point-org.opencv.core.Size-int-int-int-int-org.opencv.core.MatOfPoint-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>ellipse2Poly</h4>
- <pre>public static void ellipse2Poly(<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> axes,
- int angle,
- int arcStart,
- int arcEnd,
- int delta,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> pts)</pre>
- <div class="block">Approximates an elliptic arc with a polyline.
- The function ellipse2Poly computes the vertices of a polyline that approximates the specified
- elliptic arc. It is used by #ellipse. If <code>arcStart</code> is greater than <code>arcEnd</code>, they are swapped.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>center</code> - Center of the arc.</dd>
- <dd><code>axes</code> - Half of the size of the ellipse main axes. See #ellipse for details.</dd>
- <dd><code>angle</code> - Rotation angle of the ellipse in degrees. See #ellipse for details.</dd>
- <dd><code>arcStart</code> - Starting angle of the elliptic arc in degrees.</dd>
- <dd><code>arcEnd</code> - Ending angle of the elliptic arc in degrees.</dd>
- <dd><code>delta</code> - Angle between the subsequent polyline vertices. It defines the approximation
- accuracy.</dd>
- <dd><code>pts</code> - Output vector of polyline vertices.</dd>
- </dl>
- </li>
- </ul>
- <a name="EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>EMD</h4>
- <pre>public static float EMD(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType)</pre>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.
- The function computes the earth mover distance and/or a lower boundary of the distance between the
- two weighted point configurations. One of the applications described in CITE: RubnerSept98,
- CITE: Rubner2000 is multi-dimensional histogram comparison for image retrieval. EMD is a transportation
- problem that is solved using some modification of a simplex algorithm, thus the complexity is
- exponential in the worst case, though, on average it is much faster. In the case of a real metric
- the lower boundary can be calculated even faster (using linear-time algorithm) and it can be used
- to determine roughly whether the two signatures are far enough so that they cannot relate to the
- same object.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>signature1</code> - First signature, a \(\texttt{size1}\times \texttt{dims}+1\) floating-point matrix.
- Each row stores the point weight followed by the point coordinates. The matrix is allowed to have
- a single column (weights only) if the user-defined cost matrix is used. The weights must be
- non-negative and have at least one non-zero value.</dd>
- <dd><code>signature2</code> - Second signature of the same format as signature1 , though the number of rows
- may be different. The total weights may be different. In this case an extra "dummy" point is added
- to either signature1 or signature2. The weights must be non-negative and have at least one non-zero
- value.</dd>
- <dd><code>distType</code> - Used metric. See #DistanceTypes.
- is used, lower boundary lowerBound cannot be calculated because it needs a metric function.
- signatures that is a distance between mass centers. The lower boundary may not be calculated if
- the user-defined cost matrix is used, the total weights of point configurations are not equal, or
- if the signatures consist of weights only (the signature matrices have a single column). You
- <b>must</b> initialize \*lowerBound . If the calculated distance between mass centers is greater or
- equal to \*lowerBound (it means that the signatures are far enough), the function does not
- calculate EMD. In any case \*lowerBound is set to the calculated distance between mass centers on
- return. Thus, if you want to calculate both distance between mass centers and EMD, \*lowerBound
- should be set to 0.
- a flow from \(i\) -th point of signature1 to \(j\) -th point of signature2 .</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">
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- </a>
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- <h4>EMD</h4>
- <pre>public static float EMD(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cost)</pre>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.
- The function computes the earth mover distance and/or a lower boundary of the distance between the
- two weighted point configurations. One of the applications described in CITE: RubnerSept98,
- CITE: Rubner2000 is multi-dimensional histogram comparison for image retrieval. EMD is a transportation
- problem that is solved using some modification of a simplex algorithm, thus the complexity is
- exponential in the worst case, though, on average it is much faster. In the case of a real metric
- the lower boundary can be calculated even faster (using linear-time algorithm) and it can be used
- to determine roughly whether the two signatures are far enough so that they cannot relate to the
- same object.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>signature1</code> - First signature, a \(\texttt{size1}\times \texttt{dims}+1\) floating-point matrix.
- Each row stores the point weight followed by the point coordinates. The matrix is allowed to have
- a single column (weights only) if the user-defined cost matrix is used. The weights must be
- non-negative and have at least one non-zero value.</dd>
- <dd><code>signature2</code> - Second signature of the same format as signature1 , though the number of rows
- may be different. The total weights may be different. In this case an extra "dummy" point is added
- to either signature1 or signature2. The weights must be non-negative and have at least one non-zero
- value.</dd>
- <dd><code>distType</code> - Used metric. See #DistanceTypes.</dd>
- <dd><code>cost</code> - User-defined \(\texttt{size1}\times \texttt{size2}\) cost matrix. Also, if a cost matrix
- is used, lower boundary lowerBound cannot be calculated because it needs a metric function.
- signatures that is a distance between mass centers. The lower boundary may not be calculated if
- the user-defined cost matrix is used, the total weights of point configurations are not equal, or
- if the signatures consist of weights only (the signature matrices have a single column). You
- <b>must</b> initialize \*lowerBound . If the calculated distance between mass centers is greater or
- equal to \*lowerBound (it means that the signatures are far enough), the function does not
- calculate EMD. In any case \*lowerBound is set to the calculated distance between mass centers on
- return. Thus, if you want to calculate both distance between mass centers and EMD, \*lowerBound
- should be set to 0.
- a flow from \(i\) -th point of signature1 to \(j\) -th point of signature2 .</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="EMD-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>EMD</h4>
- <pre>public static float EMD(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> signature2,
- int distType,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cost,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> flow)</pre>
- <div class="block">Computes the "minimal work" distance between two weighted point configurations.
- The function computes the earth mover distance and/or a lower boundary of the distance between the
- two weighted point configurations. One of the applications described in CITE: RubnerSept98,
- CITE: Rubner2000 is multi-dimensional histogram comparison for image retrieval. EMD is a transportation
- problem that is solved using some modification of a simplex algorithm, thus the complexity is
- exponential in the worst case, though, on average it is much faster. In the case of a real metric
- the lower boundary can be calculated even faster (using linear-time algorithm) and it can be used
- to determine roughly whether the two signatures are far enough so that they cannot relate to the
- same object.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>signature1</code> - First signature, a \(\texttt{size1}\times \texttt{dims}+1\) floating-point matrix.
- Each row stores the point weight followed by the point coordinates. The matrix is allowed to have
- a single column (weights only) if the user-defined cost matrix is used. The weights must be
- non-negative and have at least one non-zero value.</dd>
- <dd><code>signature2</code> - Second signature of the same format as signature1 , though the number of rows
- may be different. The total weights may be different. In this case an extra "dummy" point is added
- to either signature1 or signature2. The weights must be non-negative and have at least one non-zero
- value.</dd>
- <dd><code>distType</code> - Used metric. See #DistanceTypes.</dd>
- <dd><code>cost</code> - User-defined \(\texttt{size1}\times \texttt{size2}\) cost matrix. Also, if a cost matrix
- is used, lower boundary lowerBound cannot be calculated because it needs a metric function.
- signatures that is a distance between mass centers. The lower boundary may not be calculated if
- the user-defined cost matrix is used, the total weights of point configurations are not equal, or
- if the signatures consist of weights only (the signature matrices have a single column). You
- <b>must</b> initialize \*lowerBound . If the calculated distance between mass centers is greater or
- equal to \*lowerBound (it means that the signatures are far enough), the function does not
- calculate EMD. In any case \*lowerBound is set to the calculated distance between mass centers on
- return. Thus, if you want to calculate both distance between mass centers and EMD, \*lowerBound
- should be set to 0.</dd>
- <dd><code>flow</code> - Resultant \(\texttt{size1} \times \texttt{size2}\) flow matrix: \(\texttt{flow}_{i,j}\) is
- a flow from \(i\) -th point of signature1 to \(j\) -th point of signature2 .</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="equalizeHist-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>equalizeHist</h4>
- <pre>public static void equalizeHist(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Equalizes the histogram of a grayscale image.
- The function equalizes the histogram of the input image using the following algorithm:
- <ul>
- <li>
- Calculate the histogram \(H\) for src .
- </li>
- <li>
- Normalize the histogram so that the sum of histogram bins is 255.
- </li>
- <li>
- Compute the integral of the histogram:
- \(H'_i = \sum _{0 \le j < i} H(j)\)
- </li>
- <li>
- Transform the image using \(H'\) as a look-up table: \(\texttt{dst}(x,y) = H'(\texttt{src}(x,y))\)
- </li>
- </ul>
- The algorithm normalizes the brightness and increases the contrast of the image.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source 8-bit single channel image.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as src .</dd>
- </dl>
- </li>
- </ul>
- <a name="erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>erode</h4>
- <pre>public static void erode(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</pre>
- <div class="block">Erodes an image by using a specific structuring element.
- The function erodes the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the minimum is taken:
- \(\texttt{dst} (x,y) = \min _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Erosion can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for erosion; if <code>element=Mat()</code>, a <code>3 x 3</code> rectangular
- structuring element is used. Kernel can be created using #getStructuringElement.
- anchor is at the element center.
- SEE: dilate, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>erode</h4>
- <pre>public static void erode(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Erodes an image by using a specific structuring element.
- The function erodes the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the minimum is taken:
- \(\texttt{dst} (x,y) = \min _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Erosion can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for erosion; if <code>element=Mat()</code>, a <code>3 x 3</code> rectangular
- structuring element is used. Kernel can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.
- SEE: dilate, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>erode</h4>
- <pre>public static void erode(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</pre>
- <div class="block">Erodes an image by using a specific structuring element.
- The function erodes the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the minimum is taken:
- \(\texttt{dst} (x,y) = \min _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Erosion can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for erosion; if <code>element=Mat()</code>, a <code>3 x 3</code> rectangular
- structuring element is used. Kernel can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times erosion is applied.
- SEE: dilate, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>erode</h4>
- <pre>public static void erode(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</pre>
- <div class="block">Erodes an image by using a specific structuring element.
- The function erodes the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the minimum is taken:
- \(\texttt{dst} (x,y) = \min _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Erosion can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for erosion; if <code>element=Mat()</code>, a <code>3 x 3</code> rectangular
- structuring element is used. Kernel can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times erosion is applied.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: dilate, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="erode-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>erode</h4>
- <pre>public static void erode(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Erodes an image by using a specific structuring element.
- The function erodes the source image using the specified structuring element that determines the
- shape of a pixel neighborhood over which the minimum is taken:
- \(\texttt{dst} (x,y) = \min _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')\)
- The function supports the in-place mode. Erosion can be applied several ( iterations ) times. In
- case of multi-channel images, each channel is processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>kernel</code> - structuring element used for erosion; if <code>element=Mat()</code>, a <code>3 x 3</code> rectangular
- structuring element is used. Kernel can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - position of the anchor within the element; default value (-1, -1) means that the
- anchor is at the element center.</dd>
- <dd><code>iterations</code> - number of times erosion is applied.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.</dd>
- <dd><code>borderValue</code> - border value in case of a constant border
- SEE: dilate, morphologyEx, getStructuringElement</dd>
- </dl>
- </li>
- </ul>
- <a name="fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillConvexPoly</h4>
- <pre>public static void fillConvexPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Fills a convex polygon.
- The function cv::fillConvexPoly draws a filled convex polygon. This function is much faster than the
- function #fillPoly . It can fill not only convex polygons but any monotonic polygon without
- self-intersections, that is, a polygon whose contour intersects every horizontal line (scan line)
- twice at the most (though, its top-most and/or the bottom edge could be horizontal).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>points</code> - Polygon vertices.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- </dl>
- </li>
- </ul>
- <a name="fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillConvexPoly</h4>
- <pre>public static void fillConvexPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType)</pre>
- <div class="block">Fills a convex polygon.
- The function cv::fillConvexPoly draws a filled convex polygon. This function is much faster than the
- function #fillPoly . It can fill not only convex polygons but any monotonic polygon without
- self-intersections, that is, a polygon whose contour intersects every horizontal line (scan line)
- twice at the most (though, its top-most and/or the bottom edge could be horizontal).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>points</code> - Polygon vertices.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- <dd><code>lineType</code> - Type of the polygon boundaries. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="fillConvexPoly-org.opencv.core.Mat-org.opencv.core.MatOfPoint-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillConvexPoly</h4>
- <pre>public static void fillConvexPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> points,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift)</pre>
- <div class="block">Fills a convex polygon.
- The function cv::fillConvexPoly draws a filled convex polygon. This function is much faster than the
- function #fillPoly . It can fill not only convex polygons but any monotonic polygon without
- self-intersections, that is, a polygon whose contour intersects every horizontal line (scan line)
- twice at the most (though, its top-most and/or the bottom edge could be horizontal).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>points</code> - Polygon vertices.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- <dd><code>lineType</code> - Type of the polygon boundaries. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the vertex coordinates.</dd>
- </dl>
- </li>
- </ul>
- <a name="fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillPoly</h4>
- <pre>public static void fillPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Fills the area bounded by one or more polygons.
- The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill
- complex areas, for example, areas with holes, contours with self-intersections (some of their
- parts), and so forth.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygons where each polygon is represented as an array of points.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- </dl>
- </li>
- </ul>
- <a name="fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillPoly</h4>
- <pre>public static void fillPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType)</pre>
- <div class="block">Fills the area bounded by one or more polygons.
- The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill
- complex areas, for example, areas with holes, contours with self-intersections (some of their
- parts), and so forth.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygons where each polygon is represented as an array of points.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- <dd><code>lineType</code> - Type of the polygon boundaries. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-int-">
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- </a>
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- <h4>fillPoly</h4>
- <pre>public static void fillPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift)</pre>
- <div class="block">Fills the area bounded by one or more polygons.
- The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill
- complex areas, for example, areas with holes, contours with self-intersections (some of their
- parts), and so forth.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygons where each polygon is represented as an array of points.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- <dd><code>lineType</code> - Type of the polygon boundaries. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the vertex coordinates.</dd>
- </dl>
- </li>
- </ul>
- <a name="fillPoly-org.opencv.core.Mat-java.util.List-org.opencv.core.Scalar-int-int-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fillPoly</h4>
- <pre>public static void fillPoly(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int lineType,
- int shift,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</pre>
- <div class="block">Fills the area bounded by one or more polygons.
- The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill
- complex areas, for example, areas with holes, contours with self-intersections (some of their
- parts), and so forth.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygons where each polygon is represented as an array of points.</dd>
- <dd><code>color</code> - Polygon color.</dd>
- <dd><code>lineType</code> - Type of the polygon boundaries. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the vertex coordinates.</dd>
- <dd><code>offset</code> - Optional offset of all points of the contours.</dd>
- </dl>
- </li>
- </ul>
- <a name="filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>filter2D</h4>
- <pre>public static void filter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</pre>
- <div class="block">Convolves an image with the kernel.
- The function applies an arbitrary linear filter to an image. In-place operation is supported. When
- the aperture is partially outside the image, the function interpolates outlier pixel values
- according to the specified border mode.
- The function does actually compute correlation, not the convolution:
- \(\texttt{dst} (x,y) = \sum _{ \substack{0\leq x' < \texttt{kernel.cols}\\{0\leq y' < \texttt{kernel.rows}}}} \texttt{kernel} (x',y')* \texttt{src} (x+x'- \texttt{anchor.x} ,y+y'- \texttt{anchor.y} )\)
- That is, the kernel is not mirrored around the anchor point. If you need a real convolution, flip
- the kernel using #flip and set the new anchor to `(kernel.cols - anchor.x - 1, kernel.rows -
- anchor.y - 1)`.
- The function uses the DFT-based algorithm in case of sufficiently large kernels (~<code>11 x 11</code> or
- larger) and the direct algorithm for small kernels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - desired depth of the destination image, see REF: filter_depths "combinations"</dd>
- <dd><code>kernel</code> - convolution kernel (or rather a correlation kernel), a single-channel floating point
- matrix; if you want to apply different kernels to different channels, split the image into
- separate color planes using split and process them individually.
- the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
- is at the kernel center.
- SEE: sepFilter2D, dft, matchTemplate</dd>
- </dl>
- </li>
- </ul>
- <a name="filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>filter2D</h4>
- <pre>public static void filter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Convolves an image with the kernel.
- The function applies an arbitrary linear filter to an image. In-place operation is supported. When
- the aperture is partially outside the image, the function interpolates outlier pixel values
- according to the specified border mode.
- The function does actually compute correlation, not the convolution:
- \(\texttt{dst} (x,y) = \sum _{ \substack{0\leq x' < \texttt{kernel.cols}\\{0\leq y' < \texttt{kernel.rows}}}} \texttt{kernel} (x',y')* \texttt{src} (x+x'- \texttt{anchor.x} ,y+y'- \texttt{anchor.y} )\)
- That is, the kernel is not mirrored around the anchor point. If you need a real convolution, flip
- the kernel using #flip and set the new anchor to `(kernel.cols - anchor.x - 1, kernel.rows -
- anchor.y - 1)`.
- The function uses the DFT-based algorithm in case of sufficiently large kernels (~<code>11 x 11</code> or
- larger) and the direct algorithm for small kernels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - desired depth of the destination image, see REF: filter_depths "combinations"</dd>
- <dd><code>kernel</code> - convolution kernel (or rather a correlation kernel), a single-channel floating point
- matrix; if you want to apply different kernels to different channels, split the image into
- separate color planes using split and process them individually.</dd>
- <dd><code>anchor</code> - anchor of the kernel that indicates the relative position of a filtered point within
- the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
- is at the kernel center.
- SEE: sepFilter2D, dft, matchTemplate</dd>
- </dl>
- </li>
- </ul>
- <a name="filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>filter2D</h4>
- <pre>public static void filter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta)</pre>
- <div class="block">Convolves an image with the kernel.
- The function applies an arbitrary linear filter to an image. In-place operation is supported. When
- the aperture is partially outside the image, the function interpolates outlier pixel values
- according to the specified border mode.
- The function does actually compute correlation, not the convolution:
- \(\texttt{dst} (x,y) = \sum _{ \substack{0\leq x' < \texttt{kernel.cols}\\{0\leq y' < \texttt{kernel.rows}}}} \texttt{kernel} (x',y')* \texttt{src} (x+x'- \texttt{anchor.x} ,y+y'- \texttt{anchor.y} )\)
- That is, the kernel is not mirrored around the anchor point. If you need a real convolution, flip
- the kernel using #flip and set the new anchor to `(kernel.cols - anchor.x - 1, kernel.rows -
- anchor.y - 1)`.
- The function uses the DFT-based algorithm in case of sufficiently large kernels (~<code>11 x 11</code> or
- larger) and the direct algorithm for small kernels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - desired depth of the destination image, see REF: filter_depths "combinations"</dd>
- <dd><code>kernel</code> - convolution kernel (or rather a correlation kernel), a single-channel floating point
- matrix; if you want to apply different kernels to different channels, split the image into
- separate color planes using split and process them individually.</dd>
- <dd><code>anchor</code> - anchor of the kernel that indicates the relative position of a filtered point within
- the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
- is at the kernel center.</dd>
- <dd><code>delta</code> - optional value added to the filtered pixels before storing them in dst.
- SEE: sepFilter2D, dft, matchTemplate</dd>
- </dl>
- </li>
- </ul>
- <a name="filter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>filter2D</h4>
- <pre>public static void filter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta,
- int borderType)</pre>
- <div class="block">Convolves an image with the kernel.
- The function applies an arbitrary linear filter to an image. In-place operation is supported. When
- the aperture is partially outside the image, the function interpolates outlier pixel values
- according to the specified border mode.
- The function does actually compute correlation, not the convolution:
- \(\texttt{dst} (x,y) = \sum _{ \substack{0\leq x' < \texttt{kernel.cols}\\{0\leq y' < \texttt{kernel.rows}}}} \texttt{kernel} (x',y')* \texttt{src} (x+x'- \texttt{anchor.x} ,y+y'- \texttt{anchor.y} )\)
- That is, the kernel is not mirrored around the anchor point. If you need a real convolution, flip
- the kernel using #flip and set the new anchor to `(kernel.cols - anchor.x - 1, kernel.rows -
- anchor.y - 1)`.
- The function uses the DFT-based algorithm in case of sufficiently large kernels (~<code>11 x 11</code> or
- larger) and the direct algorithm for small kernels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - desired depth of the destination image, see REF: filter_depths "combinations"</dd>
- <dd><code>kernel</code> - convolution kernel (or rather a correlation kernel), a single-channel floating point
- matrix; if you want to apply different kernels to different channels, split the image into
- separate color planes using split and process them individually.</dd>
- <dd><code>anchor</code> - anchor of the kernel that indicates the relative position of a filtered point within
- the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
- is at the kernel center.</dd>
- <dd><code>delta</code> - optional value added to the filtered pixels before storing them in dst.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: sepFilter2D, dft, matchTemplate</dd>
- </dl>
- </li>
- </ul>
- <a name="findContours-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>findContours</h4>
- <pre>public static void findContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int mode,
- int method)</pre>
- <div class="block">Finds contours in a binary image.
- The function retrieves contours from the binary image using the algorithm CITE: Suzuki85 . The contours
- are a useful tool for shape analysis and object detection and recognition. See squares.cpp in the
- OpenCV sample directory.
- <b>Note:</b> Since opencv 3.2 source image is not modified by this function.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Source, an 8-bit single-channel image. Non-zero pixels are treated as 1's. Zero
- pixels remain 0's, so the image is treated as binary . You can use #compare, #inRange, #threshold ,
- #adaptiveThreshold, #Canny, and others to create a binary image out of a grayscale or color one.
- If mode equals to #RETR_CCOMP or #RETR_FLOODFILL, the input can also be a 32-bit integer image of labels (CV_32SC1).</dd>
- <dd><code>contours</code> - Detected contours. Each contour is stored as a vector of points (e.g.
- std::vector<std::vector<cv::Point> >).</dd>
- <dd><code>hierarchy</code> - Optional output vector (e.g. std::vector<cv::Vec4i>), containing information about the image topology. It has
- as many elements as the number of contours. For each i-th contour contours[i], the elements
- hierarchy[i][0] , hierarchy[i][1] , hierarchy[i][2] , and hierarchy[i][3] are set to 0-based indices
- in contours of the next and previous contours at the same hierarchical level, the first child
- contour and the parent contour, respectively. If for the contour i there are no next, previous,
- parent, or nested contours, the corresponding elements of hierarchy[i] will be negative.
- <b>Note:</b> In Python, hierarchy is nested inside a top level array. Use hierarchy[0][i] to access hierarchical elements of i-th contour.</dd>
- <dd><code>mode</code> - Contour retrieval mode, see #RetrievalModes</dd>
- <dd><code>method</code> - Contour approximation method, see #ContourApproximationModes
- contours are extracted from the image ROI and then they should be analyzed in the whole image
- context.</dd>
- </dl>
- </li>
- </ul>
- <a name="findContours-org.opencv.core.Mat-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>findContours</h4>
- <pre>public static void findContours(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> contours,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hierarchy,
- int mode,
- int method,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> offset)</pre>
- <div class="block">Finds contours in a binary image.
- The function retrieves contours from the binary image using the algorithm CITE: Suzuki85 . The contours
- are a useful tool for shape analysis and object detection and recognition. See squares.cpp in the
- OpenCV sample directory.
- <b>Note:</b> Since opencv 3.2 source image is not modified by this function.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Source, an 8-bit single-channel image. Non-zero pixels are treated as 1's. Zero
- pixels remain 0's, so the image is treated as binary . You can use #compare, #inRange, #threshold ,
- #adaptiveThreshold, #Canny, and others to create a binary image out of a grayscale or color one.
- If mode equals to #RETR_CCOMP or #RETR_FLOODFILL, the input can also be a 32-bit integer image of labels (CV_32SC1).</dd>
- <dd><code>contours</code> - Detected contours. Each contour is stored as a vector of points (e.g.
- std::vector<std::vector<cv::Point> >).</dd>
- <dd><code>hierarchy</code> - Optional output vector (e.g. std::vector<cv::Vec4i>), containing information about the image topology. It has
- as many elements as the number of contours. For each i-th contour contours[i], the elements
- hierarchy[i][0] , hierarchy[i][1] , hierarchy[i][2] , and hierarchy[i][3] are set to 0-based indices
- in contours of the next and previous contours at the same hierarchical level, the first child
- contour and the parent contour, respectively. If for the contour i there are no next, previous,
- parent, or nested contours, the corresponding elements of hierarchy[i] will be negative.
- <b>Note:</b> In Python, hierarchy is nested inside a top level array. Use hierarchy[0][i] to access hierarchical elements of i-th contour.</dd>
- <dd><code>mode</code> - Contour retrieval mode, see #RetrievalModes</dd>
- <dd><code>method</code> - Contour approximation method, see #ContourApproximationModes</dd>
- <dd><code>offset</code> - Optional offset by which every contour point is shifted. This is useful if the
- contours are extracted from the image ROI and then they should be analyzed in the whole image
- context.</dd>
- </dl>
- </li>
- </ul>
- <a name="fitEllipse-org.opencv.core.MatOfPoint2f-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fitEllipse</h4>
- <pre>public static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> fitEllipse(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points)</pre>
- <div class="block">Fits an ellipse around a set of 2D points.
- The function calculates the ellipse that fits (in a least-squares sense) a set of 2D points best of
- all. It returns the rotated rectangle in which the ellipse is inscribed. The first algorithm described by CITE: Fitzgibbon95
- is used. Developer should keep in mind that it is possible that the returned
- ellipse/rotatedRect data contains negative indices, due to the data points being close to the
- border of the containing Mat element.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input 2D point set, stored in std::vector<> or Mat</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="fitEllipseAMS-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fitEllipseAMS</h4>
- <pre>public static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> fitEllipseAMS(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</pre>
- <div class="block">Fits an ellipse around a set of 2D points.
- The function calculates the ellipse that fits a set of 2D points.
- It returns the rotated rectangle in which the ellipse is inscribed.
- The Approximate Mean Square (AMS) proposed by CITE: Taubin1991 is used.
- For an ellipse, this basis set is \( \chi= \left(x^2, x y, y^2, x, y, 1\right) \),
- which is a set of six free coefficients \( A^T=\left\{A_{\text{xx}},A_{\text{xy}},A_{\text{yy}},A_x,A_y,A_0\right\} \).
- However, to specify an ellipse, all that is needed is five numbers; the major and minor axes lengths \( (a,b) \),
- the position \( (x_0,y_0) \), and the orientation \( \theta \). This is because the basis set includes lines,
- quadratics, parabolic and hyperbolic functions as well as elliptical functions as possible fits.
- If the fit is found to be a parabolic or hyperbolic function then the standard #fitEllipse method is used.
- The AMS method restricts the fit to parabolic, hyperbolic and elliptical curves
- by imposing the condition that \( A^T ( D_x^T D_x + D_y^T D_y) A = 1 \) where
- the matrices \( Dx \) and \( Dy \) are the partial derivatives of the design matrix \( D \) with
- respect to x and y. The matrices are formed row by row applying the following to
- each of the points in the set:
- \(align*}{
- D(i,:)&=\left\{x_i^2, x_i y_i, y_i^2, x_i, y_i, 1\right\} &
- D_x(i,:)&=\left\{2 x_i,y_i,0,1,0,0\right\} &
- D_y(i,:)&=\left\{0,x_i,2 y_i,0,1,0\right\}
- \)
- The AMS method minimizes the cost function
- \(equation*}{
- \epsilon ^2=\frac{ A^T D^T D A }{ A^T (D_x^T D_x + D_y^T D_y) A^T }
- \)
- The minimum cost is found by solving the generalized eigenvalue problem.
- \(equation*}{
- D^T D A = \lambda \left( D_x^T D_x + D_y^T D_y\right) A
- \)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input 2D point set, stored in std::vector<> or Mat</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="fitEllipseDirect-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fitEllipseDirect</h4>
- <pre>public static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> fitEllipseDirect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points)</pre>
- <div class="block">Fits an ellipse around a set of 2D points.
- The function calculates the ellipse that fits a set of 2D points.
- It returns the rotated rectangle in which the ellipse is inscribed.
- The Direct least square (Direct) method by CITE: Fitzgibbon1999 is used.
- For an ellipse, this basis set is \( \chi= \left(x^2, x y, y^2, x, y, 1\right) \),
- which is a set of six free coefficients \( A^T=\left\{A_{\text{xx}},A_{\text{xy}},A_{\text{yy}},A_x,A_y,A_0\right\} \).
- However, to specify an ellipse, all that is needed is five numbers; the major and minor axes lengths \( (a,b) \),
- the position \( (x_0,y_0) \), and the orientation \( \theta \). This is because the basis set includes lines,
- quadratics, parabolic and hyperbolic functions as well as elliptical functions as possible fits.
- The Direct method confines the fit to ellipses by ensuring that \( 4 A_{xx} A_{yy}- A_{xy}^2 > 0 \).
- The condition imposed is that \( 4 A_{xx} A_{yy}- A_{xy}^2=1 \) which satisfies the inequality
- and as the coefficients can be arbitrarily scaled is not overly restrictive.
- \(equation*}{
- \epsilon ^2= A^T D^T D A \quad \text{with} \quad A^T C A =1 \quad \text{and} \quad C=\left(\begin{matrix}
- 0 & 0 & 2 & 0 & 0 & 0 \\
- 0 & -1 & 0 & 0 & 0 & 0 \\
- 2 & 0 & 0 & 0 & 0 & 0 \\
- 0 & 0 & 0 & 0 & 0 & 0 \\
- 0 & 0 & 0 & 0 & 0 & 0 \\
- 0 & 0 & 0 & 0 & 0 & 0
- \end{matrix} \right)
- \)
- The minimum cost is found by solving the generalized eigenvalue problem.
- \(equation*}{
- D^T D A = \lambda \left( C\right) A
- \)
- The system produces only one positive eigenvalue \( \lambda\) which is chosen as the solution
- with its eigenvector \(\mathbf{u}\). These are used to find the coefficients
- \(equation*}{
- A = \sqrt{\frac{1}{\mathbf{u}^T C \mathbf{u}}} \mathbf{u}
- \)
- The scaling factor guarantees that \(A^T C A =1\).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input 2D point set, stored in std::vector<> or Mat</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="fitLine-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>fitLine</h4>
- <pre>public static void fitLine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> line,
- int distType,
- double param,
- double reps,
- double aeps)</pre>
- <div class="block">Fits a line to a 2D or 3D point set.
- The function fitLine fits a line to a 2D or 3D point set by minimizing \(\sum_i \rho(r_i)\) where
- \(r_i\) is a distance between the \(i^{th}\) point, the line and \(\rho(r)\) is a distance function, one
- of the following:
- <ul>
- <li>
- DIST_L2
- \(\rho (r) = r^2/2 \quad \text{(the simplest and the fastest least-squares method)}\)
- </li>
- <li>
- DIST_L1
- \(\rho (r) = r\)
- </li>
- <li>
- DIST_L12
- \(\rho (r) = 2 \cdot ( \sqrt{1 + \frac{r^2}{2}} - 1)\)
- </li>
- <li>
- DIST_FAIR
- \(\rho \left (r \right ) = C^2 \cdot \left ( \frac{r}{C} - \log{\left(1 + \frac{r}{C}\right)} \right ) \quad \text{where} \quad C=1.3998\)
- </li>
- <li>
- DIST_WELSCH
- \(\rho \left (r \right ) = \frac{C^2}{2} \cdot \left ( 1 - \exp{\left(-\left(\frac{r}{C}\right)^2\right)} \right ) \quad \text{where} \quad C=2.9846\)
- </li>
- <li>
- DIST_HUBER
- \(\rho (r) = \fork{r^2/2}{if \(r < C\)}{C \cdot (r-C/2)}{otherwise} \quad \text{where} \quad C=1.345\)
- </li>
- </ul>
- The algorithm is based on the M-estimator ( <http://en.wikipedia.org/wiki/M-estimator> ) technique
- that iteratively fits the line using the weighted least-squares algorithm. After each iteration the
- weights \(w_i\) are adjusted to be inversely proportional to \(\rho(r_i)\) .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input vector of 2D or 3D points, stored in std::vector<> or Mat.</dd>
- <dd><code>line</code> - Output line parameters. In case of 2D fitting, it should be a vector of 4 elements
- (like Vec4f) - (vx, vy, x0, y0), where (vx, vy) is a normalized vector collinear to the line and
- (x0, y0) is a point on the line. In case of 3D fitting, it should be a vector of 6 elements (like
- Vec6f) - (vx, vy, vz, x0, y0, z0), where (vx, vy, vz) is a normalized vector collinear to the line
- and (x0, y0, z0) is a point on the line.</dd>
- <dd><code>distType</code> - Distance used by the M-estimator, see #DistanceTypes</dd>
- <dd><code>param</code> - Numerical parameter ( C ) for some types of distances. If it is 0, an optimal value
- is chosen.</dd>
- <dd><code>reps</code> - Sufficient accuracy for the radius (distance between the coordinate origin and the line).</dd>
- <dd><code>aeps</code> - Sufficient accuracy for the angle. 0.01 would be a good default value for reps and aeps.</dd>
- </dl>
- </li>
- </ul>
- <a name="floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>floodFill</h4>
- <pre>public static int floodFill(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal)</pre>
- <div class="block">Fills a connected component with the given color.
- The function cv::floodFill fills a connected component starting from the seed point with the specified
- color. The connectivity is determined by the color/brightness closeness of the neighbor pixels. The
- pixel at \((x,y)\) is considered to belong to the repainted domain if:
- <ul>
- <li>
- in case of a grayscale image and floating range
- \(\texttt{src} (x',y')- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} (x',y')+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a grayscale image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and floating range
- \(\texttt{src} (x',y')_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} (x',y')_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} (x',y')_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} (x',y')_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} (x',y')_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} (x',y')_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- where \(src(x',y')\) is the value of one of pixel neighbors that is already known to belong to the
- component. That is, to be added to the connected component, a color/brightness of the pixel should
- be close enough to:
- <ul>
- <li>
- Color/brightness of one of its neighbors that already belong to the connected component in case
- of a floating range.
- </li>
- <li>
- Color/brightness of the seed point in case of a fixed range.
- </li>
- </ul>
- Use these functions to either mark a connected component with the specified color in-place, or build
- a mask and then extract the contour, or copy the region to another image, and so on.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the
- function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function. See
- the details below.</dd>
- <dd><code>mask</code> - Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels
- taller than image. If an empty Mat is passed it will be created automatically. Since this is both an
- input and output parameter, you must take responsibility of initializing it.
- Flood-filling cannot go across non-zero pixels in the input mask. For example,
- an edge detector output can be used as a mask to stop filling at edges. On output, pixels in the
- mask corresponding to filled pixels in the image are set to 1 or to the specified value in flags
- as described below. Additionally, the function fills the border of the mask with ones to simplify
- internal processing. It is therefore possible to use the same mask in multiple calls to the function
- to make sure the filled areas do not overlap.</dd>
- <dd><code>seedPoint</code> - Starting point.</dd>
- <dd><code>newVal</code> - New value of the repainted domain pixels.
- one of its neighbors belonging to the component, or a seed pixel being added to the component.
- one of its neighbors belonging to the component, or a seed pixel being added to the component.
- repainted domain.
- 4 means that only the four nearest neighbor pixels (those that share an edge) are considered. A
- connectivity value of 8 means that the eight nearest neighbor pixels (those that share a corner)
- will be considered. The next 8 bits (8-16) contain a value between 1 and 255 with which to fill
- the mask (the default value is 1). For example, 4 | ( 255 << 8 ) will consider 4 nearest
- neighbours and fill the mask with a value of 255. The following additional options occupy higher
- bits and therefore may be further combined with the connectivity and mask fill values using
- bit-wise or (|), see #FloodFillFlags.
- <b>Note:</b> Since the mask is larger than the filled image, a pixel \((x, y)\) in image corresponds to the
- pixel \((x+1, y+1)\) in the mask .
- SEE: findContours</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>floodFill</h4>
- <pre>public static int floodFill(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect)</pre>
- <div class="block">Fills a connected component with the given color.
- The function cv::floodFill fills a connected component starting from the seed point with the specified
- color. The connectivity is determined by the color/brightness closeness of the neighbor pixels. The
- pixel at \((x,y)\) is considered to belong to the repainted domain if:
- <ul>
- <li>
- in case of a grayscale image and floating range
- \(\texttt{src} (x',y')- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} (x',y')+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a grayscale image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and floating range
- \(\texttt{src} (x',y')_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} (x',y')_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} (x',y')_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} (x',y')_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} (x',y')_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} (x',y')_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- where \(src(x',y')\) is the value of one of pixel neighbors that is already known to belong to the
- component. That is, to be added to the connected component, a color/brightness of the pixel should
- be close enough to:
- <ul>
- <li>
- Color/brightness of one of its neighbors that already belong to the connected component in case
- of a floating range.
- </li>
- <li>
- Color/brightness of the seed point in case of a fixed range.
- </li>
- </ul>
- Use these functions to either mark a connected component with the specified color in-place, or build
- a mask and then extract the contour, or copy the region to another image, and so on.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the
- function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function. See
- the details below.</dd>
- <dd><code>mask</code> - Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels
- taller than image. If an empty Mat is passed it will be created automatically. Since this is both an
- input and output parameter, you must take responsibility of initializing it.
- Flood-filling cannot go across non-zero pixels in the input mask. For example,
- an edge detector output can be used as a mask to stop filling at edges. On output, pixels in the
- mask corresponding to filled pixels in the image are set to 1 or to the specified value in flags
- as described below. Additionally, the function fills the border of the mask with ones to simplify
- internal processing. It is therefore possible to use the same mask in multiple calls to the function
- to make sure the filled areas do not overlap.</dd>
- <dd><code>seedPoint</code> - Starting point.</dd>
- <dd><code>newVal</code> - New value of the repainted domain pixels.
- one of its neighbors belonging to the component, or a seed pixel being added to the component.
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>rect</code> - Optional output parameter set by the function to the minimum bounding rectangle of the
- repainted domain.
- 4 means that only the four nearest neighbor pixels (those that share an edge) are considered. A
- connectivity value of 8 means that the eight nearest neighbor pixels (those that share a corner)
- will be considered. The next 8 bits (8-16) contain a value between 1 and 255 with which to fill
- the mask (the default value is 1). For example, 4 | ( 255 << 8 ) will consider 4 nearest
- neighbours and fill the mask with a value of 255. The following additional options occupy higher
- bits and therefore may be further combined with the connectivity and mask fill values using
- bit-wise or (|), see #FloodFillFlags.
- <b>Note:</b> Since the mask is larger than the filled image, a pixel \((x, y)\) in image corresponds to the
- pixel \((x+1, y+1)\) in the mask .
- SEE: findContours</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>floodFill</h4>
- <pre>public static int floodFill(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff)</pre>
- <div class="block">Fills a connected component with the given color.
- The function cv::floodFill fills a connected component starting from the seed point with the specified
- color. The connectivity is determined by the color/brightness closeness of the neighbor pixels. The
- pixel at \((x,y)\) is considered to belong to the repainted domain if:
- <ul>
- <li>
- in case of a grayscale image and floating range
- \(\texttt{src} (x',y')- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} (x',y')+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a grayscale image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and floating range
- \(\texttt{src} (x',y')_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} (x',y')_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} (x',y')_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} (x',y')_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} (x',y')_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} (x',y')_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- where \(src(x',y')\) is the value of one of pixel neighbors that is already known to belong to the
- component. That is, to be added to the connected component, a color/brightness of the pixel should
- be close enough to:
- <ul>
- <li>
- Color/brightness of one of its neighbors that already belong to the connected component in case
- of a floating range.
- </li>
- <li>
- Color/brightness of the seed point in case of a fixed range.
- </li>
- </ul>
- Use these functions to either mark a connected component with the specified color in-place, or build
- a mask and then extract the contour, or copy the region to another image, and so on.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the
- function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function. See
- the details below.</dd>
- <dd><code>mask</code> - Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels
- taller than image. If an empty Mat is passed it will be created automatically. Since this is both an
- input and output parameter, you must take responsibility of initializing it.
- Flood-filling cannot go across non-zero pixels in the input mask. For example,
- an edge detector output can be used as a mask to stop filling at edges. On output, pixels in the
- mask corresponding to filled pixels in the image are set to 1 or to the specified value in flags
- as described below. Additionally, the function fills the border of the mask with ones to simplify
- internal processing. It is therefore possible to use the same mask in multiple calls to the function
- to make sure the filled areas do not overlap.</dd>
- <dd><code>seedPoint</code> - Starting point.</dd>
- <dd><code>newVal</code> - New value of the repainted domain pixels.</dd>
- <dd><code>loDiff</code> - Maximal lower brightness/color difference between the currently observed pixel and
- one of its neighbors belonging to the component, or a seed pixel being added to the component.
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>rect</code> - Optional output parameter set by the function to the minimum bounding rectangle of the
- repainted domain.
- 4 means that only the four nearest neighbor pixels (those that share an edge) are considered. A
- connectivity value of 8 means that the eight nearest neighbor pixels (those that share a corner)
- will be considered. The next 8 bits (8-16) contain a value between 1 and 255 with which to fill
- the mask (the default value is 1). For example, 4 | ( 255 << 8 ) will consider 4 nearest
- neighbours and fill the mask with a value of 255. The following additional options occupy higher
- bits and therefore may be further combined with the connectivity and mask fill values using
- bit-wise or (|), see #FloodFillFlags.
- <b>Note:</b> Since the mask is larger than the filled image, a pixel \((x, y)\) in image corresponds to the
- pixel \((x+1, y+1)\) in the mask .
- SEE: findContours</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>floodFill</h4>
- <pre>public static int floodFill(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> upDiff)</pre>
- <div class="block">Fills a connected component with the given color.
- The function cv::floodFill fills a connected component starting from the seed point with the specified
- color. The connectivity is determined by the color/brightness closeness of the neighbor pixels. The
- pixel at \((x,y)\) is considered to belong to the repainted domain if:
- <ul>
- <li>
- in case of a grayscale image and floating range
- \(\texttt{src} (x',y')- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} (x',y')+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a grayscale image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and floating range
- \(\texttt{src} (x',y')_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} (x',y')_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} (x',y')_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} (x',y')_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} (x',y')_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} (x',y')_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- where \(src(x',y')\) is the value of one of pixel neighbors that is already known to belong to the
- component. That is, to be added to the connected component, a color/brightness of the pixel should
- be close enough to:
- <ul>
- <li>
- Color/brightness of one of its neighbors that already belong to the connected component in case
- of a floating range.
- </li>
- <li>
- Color/brightness of the seed point in case of a fixed range.
- </li>
- </ul>
- Use these functions to either mark a connected component with the specified color in-place, or build
- a mask and then extract the contour, or copy the region to another image, and so on.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the
- function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function. See
- the details below.</dd>
- <dd><code>mask</code> - Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels
- taller than image. If an empty Mat is passed it will be created automatically. Since this is both an
- input and output parameter, you must take responsibility of initializing it.
- Flood-filling cannot go across non-zero pixels in the input mask. For example,
- an edge detector output can be used as a mask to stop filling at edges. On output, pixels in the
- mask corresponding to filled pixels in the image are set to 1 or to the specified value in flags
- as described below. Additionally, the function fills the border of the mask with ones to simplify
- internal processing. It is therefore possible to use the same mask in multiple calls to the function
- to make sure the filled areas do not overlap.</dd>
- <dd><code>seedPoint</code> - Starting point.</dd>
- <dd><code>newVal</code> - New value of the repainted domain pixels.</dd>
- <dd><code>loDiff</code> - Maximal lower brightness/color difference between the currently observed pixel and
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>upDiff</code> - Maximal upper brightness/color difference between the currently observed pixel and
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>rect</code> - Optional output parameter set by the function to the minimum bounding rectangle of the
- repainted domain.
- 4 means that only the four nearest neighbor pixels (those that share an edge) are considered. A
- connectivity value of 8 means that the eight nearest neighbor pixels (those that share a corner)
- will be considered. The next 8 bits (8-16) contain a value between 1 and 255 with which to fill
- the mask (the default value is 1). For example, 4 | ( 255 << 8 ) will consider 4 nearest
- neighbours and fill the mask with a value of 255. The following additional options occupy higher
- bits and therefore may be further combined with the connectivity and mask fill values using
- bit-wise or (|), see #FloodFillFlags.
- <b>Note:</b> Since the mask is larger than the filled image, a pixel \((x, y)\) in image corresponds to the
- pixel \((x+1, y+1)\) in the mask .
- SEE: findContours</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="floodFill-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Scalar-org.opencv.core.Rect-org.opencv.core.Scalar-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>floodFill</h4>
- <pre>public static int floodFill(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> seedPoint,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> newVal,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> loDiff,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> upDiff,
- int flags)</pre>
- <div class="block">Fills a connected component with the given color.
- The function cv::floodFill fills a connected component starting from the seed point with the specified
- color. The connectivity is determined by the color/brightness closeness of the neighbor pixels. The
- pixel at \((x,y)\) is considered to belong to the repainted domain if:
- <ul>
- <li>
- in case of a grayscale image and floating range
- \(\texttt{src} (x',y')- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} (x',y')+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a grayscale image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)- \texttt{loDiff} \leq \texttt{src} (x,y) \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)+ \texttt{upDiff}\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and floating range
- \(\texttt{src} (x',y')_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} (x',y')_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} (x',y')_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} (x',y')_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} (x',y')_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} (x',y')_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- <ul>
- <li>
- in case of a color image and fixed range
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r- \texttt{loDiff} _r \leq \texttt{src} (x,y)_r \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_r+ \texttt{upDiff} _r,\)
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g- \texttt{loDiff} _g \leq \texttt{src} (x,y)_g \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_g+ \texttt{upDiff} _g\)
- and
- \(\texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b- \texttt{loDiff} _b \leq \texttt{src} (x,y)_b \leq \texttt{src} ( \texttt{seedPoint} .x, \texttt{seedPoint} .y)_b+ \texttt{upDiff} _b\)
- </li>
- </ul>
- where \(src(x',y')\) is the value of one of pixel neighbors that is already known to belong to the
- component. That is, to be added to the connected component, a color/brightness of the pixel should
- be close enough to:
- <ul>
- <li>
- Color/brightness of one of its neighbors that already belong to the connected component in case
- of a floating range.
- </li>
- <li>
- Color/brightness of the seed point in case of a fixed range.
- </li>
- </ul>
- Use these functions to either mark a connected component with the specified color in-place, or build
- a mask and then extract the contour, or copy the region to another image, and so on.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the
- function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function. See
- the details below.</dd>
- <dd><code>mask</code> - Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels
- taller than image. If an empty Mat is passed it will be created automatically. Since this is both an
- input and output parameter, you must take responsibility of initializing it.
- Flood-filling cannot go across non-zero pixels in the input mask. For example,
- an edge detector output can be used as a mask to stop filling at edges. On output, pixels in the
- mask corresponding to filled pixels in the image are set to 1 or to the specified value in flags
- as described below. Additionally, the function fills the border of the mask with ones to simplify
- internal processing. It is therefore possible to use the same mask in multiple calls to the function
- to make sure the filled areas do not overlap.</dd>
- <dd><code>seedPoint</code> - Starting point.</dd>
- <dd><code>newVal</code> - New value of the repainted domain pixels.</dd>
- <dd><code>loDiff</code> - Maximal lower brightness/color difference between the currently observed pixel and
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>upDiff</code> - Maximal upper brightness/color difference between the currently observed pixel and
- one of its neighbors belonging to the component, or a seed pixel being added to the component.</dd>
- <dd><code>rect</code> - Optional output parameter set by the function to the minimum bounding rectangle of the
- repainted domain.</dd>
- <dd><code>flags</code> - Operation flags. The first 8 bits contain a connectivity value. The default value of
- 4 means that only the four nearest neighbor pixels (those that share an edge) are considered. A
- connectivity value of 8 means that the eight nearest neighbor pixels (those that share a corner)
- will be considered. The next 8 bits (8-16) contain a value between 1 and 255 with which to fill
- the mask (the default value is 1). For example, 4 | ( 255 << 8 ) will consider 4 nearest
- neighbours and fill the mask with a value of 255. The following additional options occupy higher
- bits and therefore may be further combined with the connectivity and mask fill values using
- bit-wise or (|), see #FloodFillFlags.
- <b>Note:</b> Since the mask is larger than the filled image, a pixel \((x, y)\) in image corresponds to the
- pixel \((x+1, y+1)\) in the mask .
- SEE: findContours</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>GaussianBlur</h4>
- <pre>public static void GaussianBlur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX)</pre>
- <div class="block">Blurs an image using a Gaussian filter.
- The function convolves the source image with the specified Gaussian kernel. In-place filtering is
- supported.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the image can have any number of channels, which are processed
- independently, but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - Gaussian kernel size. ksize.width and ksize.height can differ but they both must be
- positive and odd. Or, they can be zero's and then they are computed from sigma.</dd>
- <dd><code>sigmaX</code> - Gaussian kernel standard deviation in X direction.
- equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height,
- respectively (see #getGaussianKernel for details); to fully control the result regardless of
- possible future modifications of all this semantics, it is recommended to specify all of ksize,
- sigmaX, and sigmaY.
- SEE: sepFilter2D, filter2D, blur, boxFilter, bilateralFilter, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>GaussianBlur</h4>
- <pre>public static void GaussianBlur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX,
- double sigmaY)</pre>
- <div class="block">Blurs an image using a Gaussian filter.
- The function convolves the source image with the specified Gaussian kernel. In-place filtering is
- supported.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the image can have any number of channels, which are processed
- independently, but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - Gaussian kernel size. ksize.width and ksize.height can differ but they both must be
- positive and odd. Or, they can be zero's and then they are computed from sigma.</dd>
- <dd><code>sigmaX</code> - Gaussian kernel standard deviation in X direction.</dd>
- <dd><code>sigmaY</code> - Gaussian kernel standard deviation in Y direction; if sigmaY is zero, it is set to be
- equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height,
- respectively (see #getGaussianKernel for details); to fully control the result regardless of
- possible future modifications of all this semantics, it is recommended to specify all of ksize,
- sigmaX, and sigmaY.
- SEE: sepFilter2D, filter2D, blur, boxFilter, bilateralFilter, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="GaussianBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>GaussianBlur</h4>
- <pre>public static void GaussianBlur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigmaX,
- double sigmaY,
- int borderType)</pre>
- <div class="block">Blurs an image using a Gaussian filter.
- The function convolves the source image with the specified Gaussian kernel. In-place filtering is
- supported.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image; the image can have any number of channels, which are processed
- independently, but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - Gaussian kernel size. ksize.width and ksize.height can differ but they both must be
- positive and odd. Or, they can be zero's and then they are computed from sigma.</dd>
- <dd><code>sigmaX</code> - Gaussian kernel standard deviation in X direction.</dd>
- <dd><code>sigmaY</code> - Gaussian kernel standard deviation in Y direction; if sigmaY is zero, it is set to be
- equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height,
- respectively (see #getGaussianKernel for details); to fully control the result regardless of
- possible future modifications of all this semantics, it is recommended to specify all of ksize,
- sigmaX, and sigmaY.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: sepFilter2D, filter2D, blur, boxFilter, bilateralFilter, medianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="getAffineTransform-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getAffineTransform</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getAffineTransform(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> src,
- <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> dst)</pre>
- </li>
- </ul>
- <a name="getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getDerivKernels</h4>
- <pre>public static void getDerivKernels(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize)</pre>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.
- The function computes and returns the filter coefficients for spatial image derivatives. When
- <code>ksize=FILTER_SCHARR</code>, the Scharr \(3 \times 3\) kernels are generated (see #Scharr). Otherwise, Sobel
- kernels are generated (see #Sobel). The filters are normally passed to #sepFilter2D or to</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>kx</code> - Output matrix of row filter coefficients. It has the type ktype .</dd>
- <dd><code>ky</code> - Output matrix of column filter coefficients. It has the type ktype .</dd>
- <dd><code>dx</code> - Derivative order in respect of x.</dd>
- <dd><code>dy</code> - Derivative order in respect of y.</dd>
- <dd><code>ksize</code> - Aperture size. It can be FILTER_SCHARR, 1, 3, 5, or 7.
- Theoretically, the coefficients should have the denominator \(=2^{ksize*2-dx-dy-2}\). If you are
- going to filter floating-point images, you are likely to use the normalized kernels. But if you
- compute derivatives of an 8-bit image, store the results in a 16-bit image, and wish to preserve
- all the fractional bits, you may want to set normalize=false .</dd>
- </dl>
- </li>
- </ul>
- <a name="getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getDerivKernels</h4>
- <pre>public static void getDerivKernels(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize,
- boolean normalize)</pre>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.
- The function computes and returns the filter coefficients for spatial image derivatives. When
- <code>ksize=FILTER_SCHARR</code>, the Scharr \(3 \times 3\) kernels are generated (see #Scharr). Otherwise, Sobel
- kernels are generated (see #Sobel). The filters are normally passed to #sepFilter2D or to</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>kx</code> - Output matrix of row filter coefficients. It has the type ktype .</dd>
- <dd><code>ky</code> - Output matrix of column filter coefficients. It has the type ktype .</dd>
- <dd><code>dx</code> - Derivative order in respect of x.</dd>
- <dd><code>dy</code> - Derivative order in respect of y.</dd>
- <dd><code>ksize</code> - Aperture size. It can be FILTER_SCHARR, 1, 3, 5, or 7.</dd>
- <dd><code>normalize</code> - Flag indicating whether to normalize (scale down) the filter coefficients or not.
- Theoretically, the coefficients should have the denominator \(=2^{ksize*2-dx-dy-2}\). If you are
- going to filter floating-point images, you are likely to use the normalized kernels. But if you
- compute derivatives of an 8-bit image, store the results in a 16-bit image, and wish to preserve
- all the fractional bits, you may want to set normalize=false .</dd>
- </dl>
- </li>
- </ul>
- <a name="getDerivKernels-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-boolean-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getDerivKernels</h4>
- <pre>public static void getDerivKernels(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> ky,
- int dx,
- int dy,
- int ksize,
- boolean normalize,
- int ktype)</pre>
- <div class="block">Returns filter coefficients for computing spatial image derivatives.
- The function computes and returns the filter coefficients for spatial image derivatives. When
- <code>ksize=FILTER_SCHARR</code>, the Scharr \(3 \times 3\) kernels are generated (see #Scharr). Otherwise, Sobel
- kernels are generated (see #Sobel). The filters are normally passed to #sepFilter2D or to</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>kx</code> - Output matrix of row filter coefficients. It has the type ktype .</dd>
- <dd><code>ky</code> - Output matrix of column filter coefficients. It has the type ktype .</dd>
- <dd><code>dx</code> - Derivative order in respect of x.</dd>
- <dd><code>dy</code> - Derivative order in respect of y.</dd>
- <dd><code>ksize</code> - Aperture size. It can be FILTER_SCHARR, 1, 3, 5, or 7.</dd>
- <dd><code>normalize</code> - Flag indicating whether to normalize (scale down) the filter coefficients or not.
- Theoretically, the coefficients should have the denominator \(=2^{ksize*2-dx-dy-2}\). If you are
- going to filter floating-point images, you are likely to use the normalized kernels. But if you
- compute derivatives of an 8-bit image, store the results in a 16-bit image, and wish to preserve
- all the fractional bits, you may want to set normalize=false .</dd>
- <dd><code>ktype</code> - Type of filter coefficients. It can be CV_32f or CV_64F .</dd>
- </dl>
- </li>
- </ul>
- <a name="getFontScaleFromHeight-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getFontScaleFromHeight</h4>
- <pre>public static double getFontScaleFromHeight(int fontFace,
- int pixelHeight)</pre>
- <div class="block">Calculates the font-specific size to use to achieve a given height in pixels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>fontFace</code> - Font to use, see cv::HersheyFonts.</dd>
- <dd><code>pixelHeight</code> - Pixel height to compute the fontScale for</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>The fontSize to use for cv::putText
- SEE: cv::putText</dd>
- </dl>
- </li>
- </ul>
- <a name="getFontScaleFromHeight-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getFontScaleFromHeight</h4>
- <pre>public static double getFontScaleFromHeight(int fontFace,
- int pixelHeight,
- int thickness)</pre>
- <div class="block">Calculates the font-specific size to use to achieve a given height in pixels.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>fontFace</code> - Font to use, see cv::HersheyFonts.</dd>
- <dd><code>pixelHeight</code> - Pixel height to compute the fontScale for</dd>
- <dd><code>thickness</code> - Thickness of lines used to render the text.See putText for details.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>The fontSize to use for cv::putText
- SEE: cv::putText</dd>
- </dl>
- </li>
- </ul>
- <a name="getGaborKernel-org.opencv.core.Size-double-double-double-double-">
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- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getGaborKernel(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma)</pre>
- <div class="block">Returns Gabor filter coefficients.
- For more details about gabor filter equations and parameters, see: [Gabor
- Filter](http://en.wikipedia.org/wiki/Gabor_filter).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>ksize</code> - Size of the filter returned.</dd>
- <dd><code>sigma</code> - Standard deviation of the gaussian envelope.</dd>
- <dd><code>theta</code> - Orientation of the normal to the parallel stripes of a Gabor function.</dd>
- <dd><code>lambd</code> - Wavelength of the sinusoidal factor.</dd>
- <dd><code>gamma</code> - Spatial aspect ratio.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getGaborKernel-org.opencv.core.Size-double-double-double-double-double-">
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- </a>
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- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getGaborKernel(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma,
- double psi)</pre>
- <div class="block">Returns Gabor filter coefficients.
- For more details about gabor filter equations and parameters, see: [Gabor
- Filter](http://en.wikipedia.org/wiki/Gabor_filter).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>ksize</code> - Size of the filter returned.</dd>
- <dd><code>sigma</code> - Standard deviation of the gaussian envelope.</dd>
- <dd><code>theta</code> - Orientation of the normal to the parallel stripes of a Gabor function.</dd>
- <dd><code>lambd</code> - Wavelength of the sinusoidal factor.</dd>
- <dd><code>gamma</code> - Spatial aspect ratio.</dd>
- <dd><code>psi</code> - Phase offset.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getGaborKernel-org.opencv.core.Size-double-double-double-double-double-int-">
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- </a>
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- <h4>getGaborKernel</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getGaborKernel(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- double sigma,
- double theta,
- double lambd,
- double gamma,
- double psi,
- int ktype)</pre>
- <div class="block">Returns Gabor filter coefficients.
- For more details about gabor filter equations and parameters, see: [Gabor
- Filter](http://en.wikipedia.org/wiki/Gabor_filter).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>ksize</code> - Size of the filter returned.</dd>
- <dd><code>sigma</code> - Standard deviation of the gaussian envelope.</dd>
- <dd><code>theta</code> - Orientation of the normal to the parallel stripes of a Gabor function.</dd>
- <dd><code>lambd</code> - Wavelength of the sinusoidal factor.</dd>
- <dd><code>gamma</code> - Spatial aspect ratio.</dd>
- <dd><code>psi</code> - Phase offset.</dd>
- <dd><code>ktype</code> - Type of filter coefficients. It can be CV_32F or CV_64F .</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getGaussianKernel-int-double-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getGaussianKernel</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getGaussianKernel(int ksize,
- double sigma)</pre>
- <div class="block">Returns Gaussian filter coefficients.
- The function computes and returns the \(\texttt{ksize} \times 1\) matrix of Gaussian filter
- coefficients:
- \(G_i= \alpha *e^{-(i-( \texttt{ksize} -1)/2)^2/(2* \texttt{sigma}^2)},\)
- where \(i=0..\texttt{ksize}-1\) and \(\alpha\) is the scale factor chosen so that \(\sum_i G_i=1\).
- Two of such generated kernels can be passed to sepFilter2D. Those functions automatically recognize
- smoothing kernels (a symmetrical kernel with sum of weights equal to 1) and handle them accordingly.
- You may also use the higher-level GaussianBlur.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>ksize</code> - Aperture size. It should be odd ( \(\texttt{ksize} \mod 2 = 1\) ) and positive.</dd>
- <dd><code>sigma</code> - Gaussian standard deviation. If it is non-positive, it is computed from ksize as
- <code>sigma = 0.3*((ksize-1)*0.5 - 1) + 0.8</code>.
- SEE: sepFilter2D, getDerivKernels, getStructuringElement, GaussianBlur</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getGaussianKernel-int-double-int-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getGaussianKernel</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getGaussianKernel(int ksize,
- double sigma,
- int ktype)</pre>
- <div class="block">Returns Gaussian filter coefficients.
- The function computes and returns the \(\texttt{ksize} \times 1\) matrix of Gaussian filter
- coefficients:
- \(G_i= \alpha *e^{-(i-( \texttt{ksize} -1)/2)^2/(2* \texttt{sigma}^2)},\)
- where \(i=0..\texttt{ksize}-1\) and \(\alpha\) is the scale factor chosen so that \(\sum_i G_i=1\).
- Two of such generated kernels can be passed to sepFilter2D. Those functions automatically recognize
- smoothing kernels (a symmetrical kernel with sum of weights equal to 1) and handle them accordingly.
- You may also use the higher-level GaussianBlur.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>ksize</code> - Aperture size. It should be odd ( \(\texttt{ksize} \mod 2 = 1\) ) and positive.</dd>
- <dd><code>sigma</code> - Gaussian standard deviation. If it is non-positive, it is computed from ksize as
- <code>sigma = 0.3*((ksize-1)*0.5 - 1) + 0.8</code>.</dd>
- <dd><code>ktype</code> - Type of filter coefficients. It can be CV_32F or CV_64F .
- SEE: sepFilter2D, getDerivKernels, getStructuringElement, GaussianBlur</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getPerspectiveTransform-org.opencv.core.Mat-org.opencv.core.Mat-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getPerspectiveTransform</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getPerspectiveTransform(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Calculates a perspective transform from four pairs of the corresponding points.
- The function calculates the \(3 \times 3\) matrix of a perspective transform so that:
- \(\begin{bmatrix} t_i x'_i \\ t_i y'_i \\ t_i \end{bmatrix} = \texttt{map_matrix} \cdot \begin{bmatrix} x_i \\ y_i \\ 1 \end{bmatrix}\)
- where
- \(dst(i)=(x'_i,y'_i), src(i)=(x_i, y_i), i=0,1,2,3\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Coordinates of quadrangle vertices in the source image.</dd>
- <dd><code>dst</code> - Coordinates of the corresponding quadrangle vertices in the destination image.
- SEE: findHomography, warpPerspective, perspectiveTransform</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getPerspectiveTransform-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getPerspectiveTransform</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getPerspectiveTransform(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int solveMethod)</pre>
- <div class="block">Calculates a perspective transform from four pairs of the corresponding points.
- The function calculates the \(3 \times 3\) matrix of a perspective transform so that:
- \(\begin{bmatrix} t_i x'_i \\ t_i y'_i \\ t_i \end{bmatrix} = \texttt{map_matrix} \cdot \begin{bmatrix} x_i \\ y_i \\ 1 \end{bmatrix}\)
- where
- \(dst(i)=(x'_i,y'_i), src(i)=(x_i, y_i), i=0,1,2,3\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Coordinates of quadrangle vertices in the source image.</dd>
- <dd><code>dst</code> - Coordinates of the corresponding quadrangle vertices in the destination image.</dd>
- <dd><code>solveMethod</code> - method passed to cv::solve (#DecompTypes)
- SEE: findHomography, warpPerspective, perspectiveTransform</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getRectSubPix-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-org.opencv.core.Mat-">
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- </a>
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- <h4>getRectSubPix</h4>
- <pre>public static void getRectSubPix(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> patchSize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> patch)</pre>
- <div class="block">Retrieves a pixel rectangle from an image with sub-pixel accuracy.
- The function getRectSubPix extracts pixels from src:
- \(patch(x, y) = src(x + \texttt{center.x} - ( \texttt{dst.cols} -1)*0.5, y + \texttt{center.y} - ( \texttt{dst.rows} -1)*0.5)\)
- where the values of the pixels at non-integer coordinates are retrieved using bilinear
- interpolation. Every channel of multi-channel images is processed independently. Also
- the image should be a single channel or three channel image. While the center of the
- rectangle must be inside the image, parts of the rectangle may be outside.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Source image.</dd>
- <dd><code>patchSize</code> - Size of the extracted patch.</dd>
- <dd><code>center</code> - Floating point coordinates of the center of the extracted rectangle within the
- source image. The center must be inside the image.</dd>
- <dd><code>patch</code> - Extracted patch that has the size patchSize and the same number of channels as src .
- SEE: warpAffine, warpPerspective</dd>
- </dl>
- </li>
- </ul>
- <a name="getRectSubPix-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-org.opencv.core.Mat-int-">
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- <h4>getRectSubPix</h4>
- <pre>public static void getRectSubPix(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> patchSize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> patch,
- int patchType)</pre>
- <div class="block">Retrieves a pixel rectangle from an image with sub-pixel accuracy.
- The function getRectSubPix extracts pixels from src:
- \(patch(x, y) = src(x + \texttt{center.x} - ( \texttt{dst.cols} -1)*0.5, y + \texttt{center.y} - ( \texttt{dst.rows} -1)*0.5)\)
- where the values of the pixels at non-integer coordinates are retrieved using bilinear
- interpolation. Every channel of multi-channel images is processed independently. Also
- the image should be a single channel or three channel image. While the center of the
- rectangle must be inside the image, parts of the rectangle may be outside.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Source image.</dd>
- <dd><code>patchSize</code> - Size of the extracted patch.</dd>
- <dd><code>center</code> - Floating point coordinates of the center of the extracted rectangle within the
- source image. The center must be inside the image.</dd>
- <dd><code>patch</code> - Extracted patch that has the size patchSize and the same number of channels as src .</dd>
- <dd><code>patchType</code> - Depth of the extracted pixels. By default, they have the same depth as src .
- SEE: warpAffine, warpPerspective</dd>
- </dl>
- </li>
- </ul>
- <a name="getRotationMatrix2D-org.opencv.core.Point-double-double-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getRotationMatrix2D</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getRotationMatrix2D(<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- double angle,
- double scale)</pre>
- <div class="block">Calculates an affine matrix of 2D rotation.
- The function calculates the following matrix:
- \(\begin{bmatrix} \alpha & \beta & (1- \alpha ) \cdot \texttt{center.x} - \beta \cdot \texttt{center.y} \\ - \beta & \alpha & \beta \cdot \texttt{center.x} + (1- \alpha ) \cdot \texttt{center.y} \end{bmatrix}\)
- where
- \(\begin{array}{l} \alpha = \texttt{scale} \cdot \cos \texttt{angle} , \\ \beta = \texttt{scale} \cdot \sin \texttt{angle} \end{array}\)
- The transformation maps the rotation center to itself. If this is not the target, adjust the shift.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>center</code> - Center of the rotation in the source image.</dd>
- <dd><code>angle</code> - Rotation angle in degrees. Positive values mean counter-clockwise rotation (the
- coordinate origin is assumed to be the top-left corner).</dd>
- <dd><code>scale</code> - Isotropic scale factor.
- SEE: getAffineTransform, warpAffine, transform</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getStructuringElement-int-org.opencv.core.Size-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getStructuringElement</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getStructuringElement(int shape,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</pre>
- <div class="block">Returns a structuring element of the specified size and shape for morphological operations.
- The function constructs and returns the structuring element that can be further passed to #erode,
- #dilate or #morphologyEx. But you can also construct an arbitrary binary mask yourself and use it as
- the structuring element.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>shape</code> - Element shape that could be one of #MorphShapes</dd>
- <dd><code>ksize</code> - Size of the structuring element.
- anchor is at the center. Note that only the shape of a cross-shaped element depends on the anchor
- position. In other cases the anchor just regulates how much the result of the morphological
- operation is shifted.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getStructuringElement-int-org.opencv.core.Size-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getStructuringElement</h4>
- <pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getStructuringElement(int shape,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Returns a structuring element of the specified size and shape for morphological operations.
- The function constructs and returns the structuring element that can be further passed to #erode,
- #dilate or #morphologyEx. But you can also construct an arbitrary binary mask yourself and use it as
- the structuring element.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>shape</code> - Element shape that could be one of #MorphShapes</dd>
- <dd><code>ksize</code> - Size of the structuring element.</dd>
- <dd><code>anchor</code> - Anchor position within the element. The default value \((-1, -1)\) means that the
- anchor is at the center. Note that only the shape of a cross-shaped element depends on the anchor
- position. In other cases the anchor just regulates how much the result of the morphological
- operation is shifted.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="getTextSize-java.lang.String-int-double-int-int:A-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>getTextSize</h4>
- <pre>public static <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> getTextSize(java.lang.String text,
- int fontFace,
- double fontScale,
- int thickness,
- int[] baseLine)</pre>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance)</pre>
- <div class="block">Determines strong corners on an image.
- The function finds the most prominent corners in the image or in the specified image region, as
- described in CITE: Shi94
- <ul>
- <li>
- Function calculates the corner quality measure at every source image pixel using the
- #cornerMinEigenVal or #cornerHarris .
- </li>
- <li>
- Function performs a non-maximum suppression (the local maximums in *3 x 3* neighborhood are
- retained).
- </li>
- <li>
- The corners with the minimal eigenvalue less than
- \(\texttt{qualityLevel} \cdot \max_{x,y} qualityMeasureMap(x,y)\) are rejected.
- </li>
- <li>
- The remaining corners are sorted by the quality measure in the descending order.
- </li>
- <li>
- Function throws away each corner for which there is a stronger corner at a distance less than
- maxDistance.
- </li>
- </ul>
- The function can be used to initialize a point-based tracker of an object.
- <b>Note:</b> If the function is called with different values A and B of the parameter qualityLevel , and
- A > B, the vector of returned corners with qualityLevel=A will be the prefix of the output vector
- with qualityLevel=B .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.
- pixel neighborhood. See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.
- SEE: cornerMinEigenVal, cornerHarris, calcOpticalFlowPyrLK, estimateRigidTransform,</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Determines strong corners on an image.
- The function finds the most prominent corners in the image or in the specified image region, as
- described in CITE: Shi94
- <ul>
- <li>
- Function calculates the corner quality measure at every source image pixel using the
- #cornerMinEigenVal or #cornerHarris .
- </li>
- <li>
- Function performs a non-maximum suppression (the local maximums in *3 x 3* neighborhood are
- retained).
- </li>
- <li>
- The corners with the minimal eigenvalue less than
- \(\texttt{qualityLevel} \cdot \max_{x,y} qualityMeasureMap(x,y)\) are rejected.
- </li>
- <li>
- The remaining corners are sorted by the quality measure in the descending order.
- </li>
- <li>
- Function throws away each corner for which there is a stronger corner at a distance less than
- maxDistance.
- </li>
- </ul>
- The function can be used to initialize a point-based tracker of an object.
- <b>Note:</b> If the function is called with different values A and B of the parameter qualityLevel , and
- A > B, the vector of returned corners with qualityLevel=A will be the prefix of the output vector
- with qualityLevel=B .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Optional region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.
- pixel neighborhood. See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.
- SEE: cornerMinEigenVal, cornerHarris, calcOpticalFlowPyrLK, estimateRigidTransform,</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize)</pre>
- <div class="block">Determines strong corners on an image.
- The function finds the most prominent corners in the image or in the specified image region, as
- described in CITE: Shi94
- <ul>
- <li>
- Function calculates the corner quality measure at every source image pixel using the
- #cornerMinEigenVal or #cornerHarris .
- </li>
- <li>
- Function performs a non-maximum suppression (the local maximums in *3 x 3* neighborhood are
- retained).
- </li>
- <li>
- The corners with the minimal eigenvalue less than
- \(\texttt{qualityLevel} \cdot \max_{x,y} qualityMeasureMap(x,y)\) are rejected.
- </li>
- <li>
- The remaining corners are sorted by the quality measure in the descending order.
- </li>
- <li>
- Function throws away each corner for which there is a stronger corner at a distance less than
- maxDistance.
- </li>
- </ul>
- The function can be used to initialize a point-based tracker of an object.
- <b>Note:</b> If the function is called with different values A and B of the parameter qualityLevel , and
- A > B, the vector of returned corners with qualityLevel=A will be the prefix of the output vector
- with qualityLevel=B .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Optional region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.
- SEE: cornerMinEigenVal, cornerHarris, calcOpticalFlowPyrLK, estimateRigidTransform,</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- boolean useHarrisDetector)</pre>
- <div class="block">Determines strong corners on an image.
- The function finds the most prominent corners in the image or in the specified image region, as
- described in CITE: Shi94
- <ul>
- <li>
- Function calculates the corner quality measure at every source image pixel using the
- #cornerMinEigenVal or #cornerHarris .
- </li>
- <li>
- Function performs a non-maximum suppression (the local maximums in *3 x 3* neighborhood are
- retained).
- </li>
- <li>
- The corners with the minimal eigenvalue less than
- \(\texttt{qualityLevel} \cdot \max_{x,y} qualityMeasureMap(x,y)\) are rejected.
- </li>
- <li>
- The remaining corners are sorted by the quality measure in the descending order.
- </li>
- <li>
- Function throws away each corner for which there is a stronger corner at a distance less than
- maxDistance.
- </li>
- </ul>
- The function can be used to initialize a point-based tracker of an object.
- <b>Note:</b> If the function is called with different values A and B of the parameter qualityLevel , and
- A > B, the vector of returned corners with qualityLevel=A will be the prefix of the output vector
- with qualityLevel=B .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Optional region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .</dd>
- <dd><code>useHarrisDetector</code> - Parameter indicating whether to use a Harris detector (see #cornerHarris)
- or #cornerMinEigenVal.
- SEE: cornerMinEigenVal, cornerHarris, calcOpticalFlowPyrLK, estimateRigidTransform,</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-boolean-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- boolean useHarrisDetector,
- double k)</pre>
- <div class="block">Determines strong corners on an image.
- The function finds the most prominent corners in the image or in the specified image region, as
- described in CITE: Shi94
- <ul>
- <li>
- Function calculates the corner quality measure at every source image pixel using the
- #cornerMinEigenVal or #cornerHarris .
- </li>
- <li>
- Function performs a non-maximum suppression (the local maximums in *3 x 3* neighborhood are
- retained).
- </li>
- <li>
- The corners with the minimal eigenvalue less than
- \(\texttt{qualityLevel} \cdot \max_{x,y} qualityMeasureMap(x,y)\) are rejected.
- </li>
- <li>
- The remaining corners are sorted by the quality measure in the descending order.
- </li>
- <li>
- Function throws away each corner for which there is a stronger corner at a distance less than
- maxDistance.
- </li>
- </ul>
- The function can be used to initialize a point-based tracker of an object.
- <b>Note:</b> If the function is called with different values A and B of the parameter qualityLevel , and
- A > B, the vector of returned corners with qualityLevel=A will be the prefix of the output vector
- with qualityLevel=B .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Optional region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .</dd>
- <dd><code>useHarrisDetector</code> - Parameter indicating whether to use a Harris detector (see #cornerHarris)
- or #cornerMinEigenVal.</dd>
- <dd><code>k</code> - Free parameter of the Harris detector.
- SEE: cornerMinEigenVal, cornerHarris, calcOpticalFlowPyrLK, estimateRigidTransform,</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize)</pre>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector)</pre>
- </li>
- </ul>
- <a name="goodFeaturesToTrack-org.opencv.core.Mat-org.opencv.core.MatOfPoint-int-double-double-org.opencv.core.Mat-int-int-boolean-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrack</h4>
- <pre>public static void goodFeaturesToTrack(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector,
- double k)</pre>
- </li>
- </ul>
- <a name="goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrackWithQuality</h4>
- <pre>public static void goodFeaturesToTrackWithQuality(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality)</pre>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>cornersQuality</code> - Output vector of quality measure of the detected corners.
- pixel neighborhood. See cornerEigenValsAndVecs .
- See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrackWithQuality</h4>
- <pre>public static void goodFeaturesToTrackWithQuality(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize)</pre>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>cornersQuality</code> - Output vector of quality measure of the detected corners.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .
- See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrackWithQuality</h4>
- <pre>public static void goodFeaturesToTrackWithQuality(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize)</pre>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>cornersQuality</code> - Output vector of quality measure of the detected corners.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .</dd>
- <dd><code>gradientSize</code> - Aperture parameter for the Sobel operator used for derivatives computation.
- See cornerEigenValsAndVecs .
- or #cornerMinEigenVal.</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrackWithQuality</h4>
- <pre>public static void goodFeaturesToTrackWithQuality(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector)</pre>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>cornersQuality</code> - Output vector of quality measure of the detected corners.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .</dd>
- <dd><code>gradientSize</code> - Aperture parameter for the Sobel operator used for derivatives computation.
- See cornerEigenValsAndVecs .</dd>
- <dd><code>useHarrisDetector</code> - Parameter indicating whether to use a Harris detector (see #cornerHarris)
- or #cornerMinEigenVal.</dd>
- </dl>
- </li>
- </ul>
- <a name="goodFeaturesToTrackWithQuality-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-org.opencv.core.Mat-org.opencv.core.Mat-int-int-boolean-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>goodFeaturesToTrackWithQuality</h4>
- <pre>public static void goodFeaturesToTrackWithQuality(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> corners,
- int maxCorners,
- double qualityLevel,
- double minDistance,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> cornersQuality,
- int blockSize,
- int gradientSize,
- boolean useHarrisDetector,
- double k)</pre>
- <div class="block">Same as above, but returns also quality measure of the detected corners.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit or floating-point 32-bit, single-channel image.</dd>
- <dd><code>corners</code> - Output vector of detected corners.</dd>
- <dd><code>maxCorners</code> - Maximum number of corners to return. If there are more corners than are found,
- the strongest of them is returned. <code>maxCorners &lt;= 0</code> implies that no limit on the maximum is set
- and all detected corners are returned.</dd>
- <dd><code>qualityLevel</code> - Parameter characterizing the minimal accepted quality of image corners. The
- parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue
- (see #cornerMinEigenVal ) or the Harris function response (see #cornerHarris ). The corners with the
- quality measure less than the product are rejected. For example, if the best corner has the
- quality measure = 1500, and the qualityLevel=0.01 , then all the corners with the quality measure
- less than 15 are rejected.</dd>
- <dd><code>minDistance</code> - Minimum possible Euclidean distance between the returned corners.</dd>
- <dd><code>mask</code> - Region of interest. If the image is not empty (it needs to have the type
- CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.</dd>
- <dd><code>cornersQuality</code> - Output vector of quality measure of the detected corners.</dd>
- <dd><code>blockSize</code> - Size of an average block for computing a derivative covariation matrix over each
- pixel neighborhood. See cornerEigenValsAndVecs .</dd>
- <dd><code>gradientSize</code> - Aperture parameter for the Sobel operator used for derivatives computation.
- See cornerEigenValsAndVecs .</dd>
- <dd><code>useHarrisDetector</code> - Parameter indicating whether to use a Harris detector (see #cornerHarris)
- or #cornerMinEigenVal.</dd>
- <dd><code>k</code> - Free parameter of the Harris detector.</dd>
- </dl>
- </li>
- </ul>
- <a name="grabCut-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- </a>
- <ul class="blockList">
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- <h4>grabCut</h4>
- <pre>public static void grabCut(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> bgdModel,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> fgdModel,
- int iterCount)</pre>
- <div class="block">Runs the GrabCut algorithm.
- The function implements the [GrabCut image segmentation algorithm](http://en.wikipedia.org/wiki/GrabCut).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Input 8-bit 3-channel image.</dd>
- <dd><code>mask</code> - Input/output 8-bit single-channel mask. The mask is initialized by the function when
- mode is set to #GC_INIT_WITH_RECT. Its elements may have one of the #GrabCutClasses.</dd>
- <dd><code>rect</code> - ROI containing a segmented object. The pixels outside of the ROI are marked as
- "obvious background". The parameter is only used when mode==#GC_INIT_WITH_RECT .</dd>
- <dd><code>bgdModel</code> - Temporary array for the background model. Do not modify it while you are
- processing the same image.</dd>
- <dd><code>fgdModel</code> - Temporary arrays for the foreground model. Do not modify it while you are
- processing the same image.</dd>
- <dd><code>iterCount</code> - Number of iterations the algorithm should make before returning the result. Note
- that the result can be refined with further calls with mode==#GC_INIT_WITH_MASK or
- mode==GC_EVAL .</dd>
- </dl>
- </li>
- </ul>
- <a name="grabCut-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>grabCut</h4>
- <pre>public static void grabCut(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rect,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> bgdModel,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> fgdModel,
- int iterCount,
- int mode)</pre>
- <div class="block">Runs the GrabCut algorithm.
- The function implements the [GrabCut image segmentation algorithm](http://en.wikipedia.org/wiki/GrabCut).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Input 8-bit 3-channel image.</dd>
- <dd><code>mask</code> - Input/output 8-bit single-channel mask. The mask is initialized by the function when
- mode is set to #GC_INIT_WITH_RECT. Its elements may have one of the #GrabCutClasses.</dd>
- <dd><code>rect</code> - ROI containing a segmented object. The pixels outside of the ROI are marked as
- "obvious background". The parameter is only used when mode==#GC_INIT_WITH_RECT .</dd>
- <dd><code>bgdModel</code> - Temporary array for the background model. Do not modify it while you are
- processing the same image.</dd>
- <dd><code>fgdModel</code> - Temporary arrays for the foreground model. Do not modify it while you are
- processing the same image.</dd>
- <dd><code>iterCount</code> - Number of iterations the algorithm should make before returning the result. Note
- that the result can be refined with further calls with mode==#GC_INIT_WITH_MASK or
- mode==GC_EVAL .</dd>
- <dd><code>mode</code> - Operation mode that could be one of the #GrabCutModes</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-">
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- </a>
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- <h4>HoughCircles</h4>
- <pre>public static void HoughCircles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist)</pre>
- <div class="block">Finds circles in a grayscale image using the Hough transform.
- The function finds circles in a grayscale image using a modification of the Hough transform.
- Example: :
- INCLUDE: snippets/imgproc_HoughLinesCircles.cpp
- <b>Note:</b> Usually the function detects the centers of circles well. However, it may fail to find correct
- radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if
- you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number
- to return centers only without radius search, and find the correct radius using an additional procedure.
- It also helps to smooth image a bit unless it's already soft. For example,
- GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel, grayscale input image.</dd>
- <dd><code>circles</code> - Output vector of found circles. Each vector is encoded as 3 or 4 element
- floating-point vector \((x, y, radius)\) or \((x, y, radius, votes)\) .</dd>
- <dd><code>method</code> - Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.</dd>
- <dd><code>dp</code> - Inverse ratio of the accumulator resolution to the image resolution. For example, if
- dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
- half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,
- unless some small very circles need to be detected.</dd>
- <dd><code>minDist</code> - Minimum distance between the centers of the detected circles. If the parameter is
- too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is
- too large, some circles may be missed.
- it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).
- Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value
- shough normally be higher, such as 300 or normally exposed and contrasty images.
- accumulator threshold for the circle centers at the detection stage. The smaller it is, the more
- false circles may be detected. Circles, corresponding to the larger accumulator values, will be
- returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle "perfectness" measure.
- The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.
- If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.
- But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.
- centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.
- SEE: fitEllipse, minEnclosingCircle</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughCircles</h4>
- <pre>public static void HoughCircles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1)</pre>
- <div class="block">Finds circles in a grayscale image using the Hough transform.
- The function finds circles in a grayscale image using a modification of the Hough transform.
- Example: :
- INCLUDE: snippets/imgproc_HoughLinesCircles.cpp
- <b>Note:</b> Usually the function detects the centers of circles well. However, it may fail to find correct
- radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if
- you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number
- to return centers only without radius search, and find the correct radius using an additional procedure.
- It also helps to smooth image a bit unless it's already soft. For example,
- GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel, grayscale input image.</dd>
- <dd><code>circles</code> - Output vector of found circles. Each vector is encoded as 3 or 4 element
- floating-point vector \((x, y, radius)\) or \((x, y, radius, votes)\) .</dd>
- <dd><code>method</code> - Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.</dd>
- <dd><code>dp</code> - Inverse ratio of the accumulator resolution to the image resolution. For example, if
- dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
- half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,
- unless some small very circles need to be detected.</dd>
- <dd><code>minDist</code> - Minimum distance between the centers of the detected circles. If the parameter is
- too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is
- too large, some circles may be missed.</dd>
- <dd><code>param1</code> - First method-specific parameter. In case of #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT,
- it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).
- Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value
- shough normally be higher, such as 300 or normally exposed and contrasty images.
- accumulator threshold for the circle centers at the detection stage. The smaller it is, the more
- false circles may be detected. Circles, corresponding to the larger accumulator values, will be
- returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle "perfectness" measure.
- The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.
- If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.
- But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.
- centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.
- SEE: fitEllipse, minEnclosingCircle</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughCircles</h4>
- <pre>public static void HoughCircles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2)</pre>
- <div class="block">Finds circles in a grayscale image using the Hough transform.
- The function finds circles in a grayscale image using a modification of the Hough transform.
- Example: :
- INCLUDE: snippets/imgproc_HoughLinesCircles.cpp
- <b>Note:</b> Usually the function detects the centers of circles well. However, it may fail to find correct
- radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if
- you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number
- to return centers only without radius search, and find the correct radius using an additional procedure.
- It also helps to smooth image a bit unless it's already soft. For example,
- GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel, grayscale input image.</dd>
- <dd><code>circles</code> - Output vector of found circles. Each vector is encoded as 3 or 4 element
- floating-point vector \((x, y, radius)\) or \((x, y, radius, votes)\) .</dd>
- <dd><code>method</code> - Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.</dd>
- <dd><code>dp</code> - Inverse ratio of the accumulator resolution to the image resolution. For example, if
- dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
- half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,
- unless some small very circles need to be detected.</dd>
- <dd><code>minDist</code> - Minimum distance between the centers of the detected circles. If the parameter is
- too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is
- too large, some circles may be missed.</dd>
- <dd><code>param1</code> - First method-specific parameter. In case of #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT,
- it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).
- Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value
- shough normally be higher, such as 300 or normally exposed and contrasty images.</dd>
- <dd><code>param2</code> - Second method-specific parameter. In case of #HOUGH_GRADIENT, it is the
- accumulator threshold for the circle centers at the detection stage. The smaller it is, the more
- false circles may be detected. Circles, corresponding to the larger accumulator values, will be
- returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle "perfectness" measure.
- The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.
- If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.
- But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.
- centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.
- SEE: fitEllipse, minEnclosingCircle</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughCircles</h4>
- <pre>public static void HoughCircles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2,
- int minRadius)</pre>
- <div class="block">Finds circles in a grayscale image using the Hough transform.
- The function finds circles in a grayscale image using a modification of the Hough transform.
- Example: :
- INCLUDE: snippets/imgproc_HoughLinesCircles.cpp
- <b>Note:</b> Usually the function detects the centers of circles well. However, it may fail to find correct
- radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if
- you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number
- to return centers only without radius search, and find the correct radius using an additional procedure.
- It also helps to smooth image a bit unless it's already soft. For example,
- GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel, grayscale input image.</dd>
- <dd><code>circles</code> - Output vector of found circles. Each vector is encoded as 3 or 4 element
- floating-point vector \((x, y, radius)\) or \((x, y, radius, votes)\) .</dd>
- <dd><code>method</code> - Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.</dd>
- <dd><code>dp</code> - Inverse ratio of the accumulator resolution to the image resolution. For example, if
- dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
- half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,
- unless some small very circles need to be detected.</dd>
- <dd><code>minDist</code> - Minimum distance between the centers of the detected circles. If the parameter is
- too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is
- too large, some circles may be missed.</dd>
- <dd><code>param1</code> - First method-specific parameter. In case of #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT,
- it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).
- Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value
- shough normally be higher, such as 300 or normally exposed and contrasty images.</dd>
- <dd><code>param2</code> - Second method-specific parameter. In case of #HOUGH_GRADIENT, it is the
- accumulator threshold for the circle centers at the detection stage. The smaller it is, the more
- false circles may be detected. Circles, corresponding to the larger accumulator values, will be
- returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle "perfectness" measure.
- The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.
- If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.
- But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.</dd>
- <dd><code>minRadius</code> - Minimum circle radius.
- centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.
- SEE: fitEllipse, minEnclosingCircle</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughCircles-org.opencv.core.Mat-org.opencv.core.Mat-int-double-double-double-double-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughCircles</h4>
- <pre>public static void HoughCircles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> circles,
- int method,
- double dp,
- double minDist,
- double param1,
- double param2,
- int minRadius,
- int maxRadius)</pre>
- <div class="block">Finds circles in a grayscale image using the Hough transform.
- The function finds circles in a grayscale image using a modification of the Hough transform.
- Example: :
- INCLUDE: snippets/imgproc_HoughLinesCircles.cpp
- <b>Note:</b> Usually the function detects the centers of circles well. However, it may fail to find correct
- radii. You can assist to the function by specifying the radius range ( minRadius and maxRadius ) if
- you know it. Or, in the case of #HOUGH_GRADIENT method you may set maxRadius to a negative number
- to return centers only without radius search, and find the correct radius using an additional procedure.
- It also helps to smooth image a bit unless it's already soft. For example,
- GaussianBlur() with 7x7 kernel and 1.5x1.5 sigma or similar blurring may help.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel, grayscale input image.</dd>
- <dd><code>circles</code> - Output vector of found circles. Each vector is encoded as 3 or 4 element
- floating-point vector \((x, y, radius)\) or \((x, y, radius, votes)\) .</dd>
- <dd><code>method</code> - Detection method, see #HoughModes. The available methods are #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT.</dd>
- <dd><code>dp</code> - Inverse ratio of the accumulator resolution to the image resolution. For example, if
- dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
- half as big width and height. For #HOUGH_GRADIENT_ALT the recommended value is dp=1.5,
- unless some small very circles need to be detected.</dd>
- <dd><code>minDist</code> - Minimum distance between the centers of the detected circles. If the parameter is
- too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is
- too large, some circles may be missed.</dd>
- <dd><code>param1</code> - First method-specific parameter. In case of #HOUGH_GRADIENT and #HOUGH_GRADIENT_ALT,
- it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller).
- Note that #HOUGH_GRADIENT_ALT uses #Scharr algorithm to compute image derivatives, so the threshold value
- shough normally be higher, such as 300 or normally exposed and contrasty images.</dd>
- <dd><code>param2</code> - Second method-specific parameter. In case of #HOUGH_GRADIENT, it is the
- accumulator threshold for the circle centers at the detection stage. The smaller it is, the more
- false circles may be detected. Circles, corresponding to the larger accumulator values, will be
- returned first. In the case of #HOUGH_GRADIENT_ALT algorithm, this is the circle "perfectness" measure.
- The closer it to 1, the better shaped circles algorithm selects. In most cases 0.9 should be fine.
- If you want get better detection of small circles, you may decrease it to 0.85, 0.8 or even less.
- But then also try to limit the search range [minRadius, maxRadius] to avoid many false circles.</dd>
- <dd><code>minRadius</code> - Minimum circle radius.</dd>
- <dd><code>maxRadius</code> - Maximum circle radius. If <= 0, uses the maximum image dimension. If < 0, #HOUGH_GRADIENT returns
- centers without finding the radius. #HOUGH_GRADIENT_ALT always computes circle radiuses.
- SEE: fitEllipse, minEnclosingCircle</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLines</h4>
- <pre>public static void HoughLines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform.
- The function implements the standard or standard multi-scale Hough transform algorithm for line
- detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good explanation of Hough
- transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 2 or 3 element vector
- \((\rho, \theta)\) or \((\rho, \theta, \textrm{votes})\), where \(\rho\) is the distance from
- the coordinate origin \((0,0)\) (top-left corner of the image), \(\theta\) is the line rotation
- angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ), and
- \(\textrm{votes}\) is the value of accumulator.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).
- The coarse accumulator distance resolution is rho and the accurate accumulator resolution is
- rho/srn. If both srn=0 and stn=0, the classical Hough transform is used. Otherwise, both these
- parameters should be positive.
- Must fall between 0 and max_theta.
- Must fall between min_theta and CV_PI. The actual maximum angle in the accumulator may be slightly
- less than max_theta, depending on the parameters min_theta and theta.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">
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- </a>
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- <h4>HoughLines</h4>
- <pre>public static void HoughLines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform.
- The function implements the standard or standard multi-scale Hough transform algorithm for line
- detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good explanation of Hough
- transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 2 or 3 element vector
- \((\rho, \theta)\) or \((\rho, \theta, \textrm{votes})\), where \(\rho\) is the distance from
- the coordinate origin \((0,0)\) (top-left corner of the image), \(\theta\) is the line rotation
- angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ), and
- \(\textrm{votes}\) is the value of accumulator.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>srn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution rho.
- The coarse accumulator distance resolution is rho and the accurate accumulator resolution is
- rho/srn. If both srn=0 and stn=0, the classical Hough transform is used. Otherwise, both these
- parameters should be positive.
- Must fall between 0 and max_theta.
- Must fall between min_theta and CV_PI. The actual maximum angle in the accumulator may be slightly
- less than max_theta, depending on the parameters min_theta and theta.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLines</h4>
- <pre>public static void HoughLines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform.
- The function implements the standard or standard multi-scale Hough transform algorithm for line
- detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good explanation of Hough
- transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 2 or 3 element vector
- \((\rho, \theta)\) or \((\rho, \theta, \textrm{votes})\), where \(\rho\) is the distance from
- the coordinate origin \((0,0)\) (top-left corner of the image), \(\theta\) is the line rotation
- angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ), and
- \(\textrm{votes}\) is the value of accumulator.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>srn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution rho.
- The coarse accumulator distance resolution is rho and the accurate accumulator resolution is
- rho/srn. If both srn=0 and stn=0, the classical Hough transform is used. Otherwise, both these
- parameters should be positive.</dd>
- <dd><code>stn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution theta.
- Must fall between 0 and max_theta.
- Must fall between min_theta and CV_PI. The actual maximum angle in the accumulator may be slightly
- less than max_theta, depending on the parameters min_theta and theta.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>HoughLines</h4>
- <pre>public static void HoughLines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform.
- The function implements the standard or standard multi-scale Hough transform algorithm for line
- detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good explanation of Hough
- transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 2 or 3 element vector
- \((\rho, \theta)\) or \((\rho, \theta, \textrm{votes})\), where \(\rho\) is the distance from
- the coordinate origin \((0,0)\) (top-left corner of the image), \(\theta\) is the line rotation
- angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ), and
- \(\textrm{votes}\) is the value of accumulator.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>srn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution rho.
- The coarse accumulator distance resolution is rho and the accurate accumulator resolution is
- rho/srn. If both srn=0 and stn=0, the classical Hough transform is used. Otherwise, both these
- parameters should be positive.</dd>
- <dd><code>stn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution theta.</dd>
- <dd><code>min_theta</code> - For standard and multi-scale Hough transform, minimum angle to check for lines.
- Must fall between 0 and max_theta.
- Must fall between min_theta and CV_PI. The actual maximum angle in the accumulator may be slightly
- less than max_theta, depending on the parameters min_theta and theta.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLines-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLines</h4>
- <pre>public static void HoughLines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta,
- double max_theta)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform.
- The function implements the standard or standard multi-scale Hough transform algorithm for line
- detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good explanation of Hough
- transform.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 2 or 3 element vector
- \((\rho, \theta)\) or \((\rho, \theta, \textrm{votes})\), where \(\rho\) is the distance from
- the coordinate origin \((0,0)\) (top-left corner of the image), \(\theta\) is the line rotation
- angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ), and
- \(\textrm{votes}\) is the value of accumulator.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>srn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution rho.
- The coarse accumulator distance resolution is rho and the accurate accumulator resolution is
- rho/srn. If both srn=0 and stn=0, the classical Hough transform is used. Otherwise, both these
- parameters should be positive.</dd>
- <dd><code>stn</code> - For the multi-scale Hough transform, it is a divisor for the distance resolution theta.</dd>
- <dd><code>min_theta</code> - For standard and multi-scale Hough transform, minimum angle to check for lines.
- Must fall between 0 and max_theta.</dd>
- <dd><code>max_theta</code> - For standard and multi-scale Hough transform, an upper bound for the angle.
- Must fall between min_theta and CV_PI. The actual maximum angle in the accumulator may be slightly
- less than max_theta, depending on the parameters min_theta and theta.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesP</h4>
- <pre>public static void HoughLinesP(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</pre>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.
- The function implements the probabilistic Hough transform algorithm for line detection, described
- in CITE: Matas00
- See the line detection example below:
- INCLUDE: snippets/imgproc_HoughLinesP.cpp
- This is a sample picture the function parameters have been tuned for:
- 
- And this is the output of the above program in case of the probabilistic Hough transform:
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 4-element vector
- \((x_1, y_1, x_2, y_2)\) , where \((x_1,y_1)\) and \((x_2, y_2)\) are the ending points of each detected
- line segment.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).
- SEE: LineSegmentDetector</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesP</h4>
- <pre>public static void HoughLinesP(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double minLineLength)</pre>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.
- The function implements the probabilistic Hough transform algorithm for line detection, described
- in CITE: Matas00
- See the line detection example below:
- INCLUDE: snippets/imgproc_HoughLinesP.cpp
- This is a sample picture the function parameters have been tuned for:
- 
- And this is the output of the above program in case of the probabilistic Hough transform:
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 4-element vector
- \((x_1, y_1, x_2, y_2)\) , where \((x_1,y_1)\) and \((x_2, y_2)\) are the ending points of each detected
- line segment.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>minLineLength</code> - Minimum line length. Line segments shorter than that are rejected.
- SEE: LineSegmentDetector</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesP-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesP</h4>
- <pre>public static void HoughLinesP(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double minLineLength,
- double maxLineGap)</pre>
- <div class="block">Finds line segments in a binary image using the probabilistic Hough transform.
- The function implements the probabilistic Hough transform algorithm for line detection, described
- in CITE: Matas00
- See the line detection example below:
- INCLUDE: snippets/imgproc_HoughLinesP.cpp
- This is a sample picture the function parameters have been tuned for:
- 
- And this is the output of the above program in case of the probabilistic Hough transform:
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - 8-bit, single-channel binary source image. The image may be modified by the function.</dd>
- <dd><code>lines</code> - Output vector of lines. Each line is represented by a 4-element vector
- \((x_1, y_1, x_2, y_2)\) , where \((x_1,y_1)\) and \((x_2, y_2)\) are the ending points of each detected
- line segment.</dd>
- <dd><code>rho</code> - Distance resolution of the accumulator in pixels.</dd>
- <dd><code>theta</code> - Angle resolution of the accumulator in radians.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>minLineLength</code> - Minimum line length. Line segments shorter than that are rejected.</dd>
- <dd><code>maxLineGap</code> - Maximum allowed gap between points on the same line to link them.
- SEE: LineSegmentDetector</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesPointSet-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-double-double-double-double-double-">
- <!-- -->
- </a>
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- <h4>HoughLinesPointSet</h4>
- <pre>public static void HoughLinesPointSet(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> point,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- int lines_max,
- int threshold,
- double min_rho,
- double max_rho,
- double rho_step,
- double min_theta,
- double max_theta,
- double theta_step)</pre>
- <div class="block">Finds lines in a set of points using the standard Hough transform.
- The function finds lines in a set of points using a modification of the Hough transform.
- INCLUDE: snippets/imgproc_HoughLinesPointSet.cpp</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>point</code> - Input vector of points. Each vector must be encoded as a Point vector \((x,y)\). Type must be CV_32FC2 or CV_32SC2.</dd>
- <dd><code>lines</code> - Output vector of found lines. Each vector is encoded as a vector<Vec3d> \((votes, rho, theta)\).
- The larger the value of 'votes', the higher the reliability of the Hough line.</dd>
- <dd><code>lines_max</code> - Max count of Hough lines.</dd>
- <dd><code>threshold</code> - %Accumulator threshold parameter. Only those lines are returned that get enough
- votes ( \(>\texttt{threshold}\) ).</dd>
- <dd><code>min_rho</code> - Minimum value for \(\rho\) for the accumulator (Note: \(\rho\) can be negative. The absolute value \(|\rho|\) is the distance of a line to the origin.).</dd>
- <dd><code>max_rho</code> - Maximum value for \(\rho\) for the accumulator.</dd>
- <dd><code>rho_step</code> - Distance resolution of the accumulator.</dd>
- <dd><code>min_theta</code> - Minimum angle value of the accumulator in radians.</dd>
- <dd><code>max_theta</code> - Upper bound for the angle value of the accumulator in radians. The actual maximum
- angle may be slightly less than max_theta, depending on the parameters min_theta and theta_step.</dd>
- <dd><code>theta_step</code> - Angle resolution of the accumulator in radians.</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesWithAccumulator</h4>
- <pre>public static void HoughLinesWithAccumulator(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.
- <b>Note:</b> This function is for bindings use only. Use original function in C++ code
- SEE: HoughLines</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - automatically generated</dd>
- <dd><code>lines</code> - automatically generated</dd>
- <dd><code>rho</code> - automatically generated</dd>
- <dd><code>theta</code> - automatically generated</dd>
- <dd><code>threshold</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesWithAccumulator</h4>
- <pre>public static void HoughLinesWithAccumulator(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.
- <b>Note:</b> This function is for bindings use only. Use original function in C++ code
- SEE: HoughLines</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - automatically generated</dd>
- <dd><code>lines</code> - automatically generated</dd>
- <dd><code>rho</code> - automatically generated</dd>
- <dd><code>theta</code> - automatically generated</dd>
- <dd><code>threshold</code> - automatically generated</dd>
- <dd><code>srn</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>HoughLinesWithAccumulator</h4>
- <pre>public static void HoughLinesWithAccumulator(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.
- <b>Note:</b> This function is for bindings use only. Use original function in C++ code
- SEE: HoughLines</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - automatically generated</dd>
- <dd><code>lines</code> - automatically generated</dd>
- <dd><code>rho</code> - automatically generated</dd>
- <dd><code>theta</code> - automatically generated</dd>
- <dd><code>threshold</code> - automatically generated</dd>
- <dd><code>srn</code> - automatically generated</dd>
- <dd><code>stn</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesWithAccumulator</h4>
- <pre>public static void HoughLinesWithAccumulator(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.
- <b>Note:</b> This function is for bindings use only. Use original function in C++ code
- SEE: HoughLines</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - automatically generated</dd>
- <dd><code>lines</code> - automatically generated</dd>
- <dd><code>rho</code> - automatically generated</dd>
- <dd><code>theta</code> - automatically generated</dd>
- <dd><code>threshold</code> - automatically generated</dd>
- <dd><code>srn</code> - automatically generated</dd>
- <dd><code>stn</code> - automatically generated</dd>
- <dd><code>min_theta</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="HoughLinesWithAccumulator-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-double-double-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>HoughLinesWithAccumulator</h4>
- <pre>public static void HoughLinesWithAccumulator(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> lines,
- double rho,
- double theta,
- int threshold,
- double srn,
- double stn,
- double min_theta,
- double max_theta)</pre>
- <div class="block">Finds lines in a binary image using the standard Hough transform and get accumulator.
- <b>Note:</b> This function is for bindings use only. Use original function in C++ code
- SEE: HoughLines</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - automatically generated</dd>
- <dd><code>lines</code> - automatically generated</dd>
- <dd><code>rho</code> - automatically generated</dd>
- <dd><code>theta</code> - automatically generated</dd>
- <dd><code>threshold</code> - automatically generated</dd>
- <dd><code>srn</code> - automatically generated</dd>
- <dd><code>stn</code> - automatically generated</dd>
- <dd><code>min_theta</code> - automatically generated</dd>
- <dd><code>max_theta</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
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- </a>
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- <h4>HuMoments</h4>
- <pre>public static void HuMoments(<a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a> m,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> hu)</pre>
- </li>
- </ul>
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- <h4>integral</h4>
- <pre>public static void integral(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum)</pre>
- </li>
- </ul>
- <a name="integral-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- </a>
- <ul class="blockList">
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- <h4>integral</h4>
- <pre>public static void integral(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- int sdepth)</pre>
- </li>
- </ul>
- <a name="integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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- </a>
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- <h4>integral2</h4>
- <pre>public static void integral2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum)</pre>
- </li>
- </ul>
- <a name="integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>integral2</h4>
- <pre>public static void integral2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- int sdepth)</pre>
- </li>
- </ul>
- <a name="integral2-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
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- <ul class="blockList">
- <li class="blockList">
- <h4>integral2</h4>
- <pre>public static void integral2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- int sdepth,
- int sqdepth)</pre>
- </li>
- </ul>
- <a name="integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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- </a>
- <ul class="blockList">
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- <h4>integral3</h4>
- <pre>public static void integral3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted)</pre>
- <div class="block">Calculates the integral of an image.
- The function calculates one or more integral images for the source image as follows:
- \(\texttt{sum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)\)
- \(\texttt{sqsum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)^2\)
- \(\texttt{tilted} (X,Y) = \sum _{y<Y,abs(x-X+1) \leq Y-y-1} \texttt{image} (x,y)\)
- Using these integral images, you can calculate sum, mean, and standard deviation over a specific
- up-right or rotated rectangular region of the image in a constant time, for example:
- \(\sum _{x_1 \leq x < x_2, \, y_1 \leq y < y_2} \texttt{image} (x,y) = \texttt{sum} (x_2,y_2)- \texttt{sum} (x_1,y_2)- \texttt{sum} (x_2,y_1)+ \texttt{sum} (x_1,y_1)\)
- It makes possible to do a fast blurring or fast block correlation with a variable window size, for
- example. In case of multi-channel images, sums for each channel are accumulated independently.
- As a practical example, the next figure shows the calculation of the integral of a straight
- rectangle Rect(4,4,3,2) and of a tilted rectangle Rect(5,1,2,3) . The selected pixels in the
- original image are shown, as well as the relative pixels in the integral images sum and tilted .
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image as \(W \times H\), 8-bit or floating-point (32f or 64f).</dd>
- <dd><code>sum</code> - integral image as \((W+1)\times (H+1)\) , 32-bit integer or floating-point (32f or 64f).</dd>
- <dd><code>sqsum</code> - integral image for squared pixel values; it is \((W+1)\times (H+1)\), double-precision
- floating-point (64f) array.</dd>
- <dd><code>tilted</code> - integral for the image rotated by 45 degrees; it is \((W+1)\times (H+1)\) array with
- the same data type as sum.
- CV_64F.</dd>
- </dl>
- </li>
- </ul>
- <a name="integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <h4>integral3</h4>
- <pre>public static void integral3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted,
- int sdepth)</pre>
- <div class="block">Calculates the integral of an image.
- The function calculates one or more integral images for the source image as follows:
- \(\texttt{sum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)\)
- \(\texttt{sqsum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)^2\)
- \(\texttt{tilted} (X,Y) = \sum _{y<Y,abs(x-X+1) \leq Y-y-1} \texttt{image} (x,y)\)
- Using these integral images, you can calculate sum, mean, and standard deviation over a specific
- up-right or rotated rectangular region of the image in a constant time, for example:
- \(\sum _{x_1 \leq x < x_2, \, y_1 \leq y < y_2} \texttt{image} (x,y) = \texttt{sum} (x_2,y_2)- \texttt{sum} (x_1,y_2)- \texttt{sum} (x_2,y_1)+ \texttt{sum} (x_1,y_1)\)
- It makes possible to do a fast blurring or fast block correlation with a variable window size, for
- example. In case of multi-channel images, sums for each channel are accumulated independently.
- As a practical example, the next figure shows the calculation of the integral of a straight
- rectangle Rect(4,4,3,2) and of a tilted rectangle Rect(5,1,2,3) . The selected pixels in the
- original image are shown, as well as the relative pixels in the integral images sum and tilted .
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image as \(W \times H\), 8-bit or floating-point (32f or 64f).</dd>
- <dd><code>sum</code> - integral image as \((W+1)\times (H+1)\) , 32-bit integer or floating-point (32f or 64f).</dd>
- <dd><code>sqsum</code> - integral image for squared pixel values; it is \((W+1)\times (H+1)\), double-precision
- floating-point (64f) array.</dd>
- <dd><code>tilted</code> - integral for the image rotated by 45 degrees; it is \((W+1)\times (H+1)\) array with
- the same data type as sum.</dd>
- <dd><code>sdepth</code> - desired depth of the integral and the tilted integral images, CV_32S, CV_32F, or
- CV_64F.</dd>
- </dl>
- </li>
- </ul>
- <a name="integral3-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
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- </a>
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- <h4>integral3</h4>
- <pre>public static void integral3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> sqsum,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> tilted,
- int sdepth,
- int sqdepth)</pre>
- <div class="block">Calculates the integral of an image.
- The function calculates one or more integral images for the source image as follows:
- \(\texttt{sum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)\)
- \(\texttt{sqsum} (X,Y) = \sum _{x<X,y<Y} \texttt{image} (x,y)^2\)
- \(\texttt{tilted} (X,Y) = \sum _{y<Y,abs(x-X+1) \leq Y-y-1} \texttt{image} (x,y)\)
- Using these integral images, you can calculate sum, mean, and standard deviation over a specific
- up-right or rotated rectangular region of the image in a constant time, for example:
- \(\sum _{x_1 \leq x < x_2, \, y_1 \leq y < y_2} \texttt{image} (x,y) = \texttt{sum} (x_2,y_2)- \texttt{sum} (x_1,y_2)- \texttt{sum} (x_2,y_1)+ \texttt{sum} (x_1,y_1)\)
- It makes possible to do a fast blurring or fast block correlation with a variable window size, for
- example. In case of multi-channel images, sums for each channel are accumulated independently.
- As a practical example, the next figure shows the calculation of the integral of a straight
- rectangle Rect(4,4,3,2) and of a tilted rectangle Rect(5,1,2,3) . The selected pixels in the
- original image are shown, as well as the relative pixels in the integral images sum and tilted .
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image as \(W \times H\), 8-bit or floating-point (32f or 64f).</dd>
- <dd><code>sum</code> - integral image as \((W+1)\times (H+1)\) , 32-bit integer or floating-point (32f or 64f).</dd>
- <dd><code>sqsum</code> - integral image for squared pixel values; it is \((W+1)\times (H+1)\), double-precision
- floating-point (64f) array.</dd>
- <dd><code>tilted</code> - integral for the image rotated by 45 degrees; it is \((W+1)\times (H+1)\) array with
- the same data type as sum.</dd>
- <dd><code>sdepth</code> - desired depth of the integral and the tilted integral images, CV_32S, CV_32F, or
- CV_64F.</dd>
- <dd><code>sqdepth</code> - desired depth of the integral image of squared pixel values, CV_32F or CV_64F.</dd>
- </dl>
- </li>
- </ul>
- <a name="intersectConvexConvex-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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- <h4>intersectConvexConvex</h4>
- <pre>public static float intersectConvexConvex(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p12)</pre>
- <div class="block">Finds intersection of two convex polygons</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>p1</code> - First polygon</dd>
- <dd><code>p2</code> - Second polygon</dd>
- <dd><code>p12</code> - Output polygon describing the intersecting area
- When false, no intersection is found. If the polygons share a side or the vertex of one polygon lies on an edge
- of the other, they are not considered nested and an intersection will be found regardless of the value of handleNested.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>Absolute value of area of intersecting polygon
- <b>Note:</b> intersectConvexConvex doesn't confirm that both polygons are convex and will return invalid results if they aren't.</dd>
- </dl>
- </li>
- </ul>
- <a name="intersectConvexConvex-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-boolean-">
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- </a>
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- <h4>intersectConvexConvex</h4>
- <pre>public static float intersectConvexConvex(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> p12,
- boolean handleNested)</pre>
- <div class="block">Finds intersection of two convex polygons</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>p1</code> - First polygon</dd>
- <dd><code>p2</code> - Second polygon</dd>
- <dd><code>p12</code> - Output polygon describing the intersecting area</dd>
- <dd><code>handleNested</code> - When true, an intersection is found if one of the polygons is fully enclosed in the other.
- When false, no intersection is found. If the polygons share a side or the vertex of one polygon lies on an edge
- of the other, they are not considered nested and an intersection will be found regardless of the value of handleNested.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>Absolute value of area of intersecting polygon
- <b>Note:</b> intersectConvexConvex doesn't confirm that both polygons are convex and will return invalid results if they aren't.</dd>
- </dl>
- </li>
- </ul>
- <a name="invertAffineTransform-org.opencv.core.Mat-org.opencv.core.Mat-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>invertAffineTransform</h4>
- <pre>public static void invertAffineTransform(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> iM)</pre>
- <div class="block">Inverts an affine transformation.
- The function computes an inverse affine transformation represented by \(2 \times 3\) matrix M:
- \(\begin{bmatrix} a_{11} & a_{12} & b_1 \\ a_{21} & a_{22} & b_2 \end{bmatrix}\)
- The result is also a \(2 \times 3\) matrix of the same type as M.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>M</code> - Original affine transformation.</dd>
- <dd><code>iM</code> - Output reverse affine transformation.</dd>
- </dl>
- </li>
- </ul>
- <a name="isContourConvex-org.opencv.core.MatOfPoint-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>isContourConvex</h4>
- <pre>public static boolean isContourConvex(<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a> contour)</pre>
- <div class="block">Tests a contour convexity.
- The function tests whether the input contour is convex or not. The contour must be simple, that is,
- without self-intersections. Otherwise, the function output is undefined.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour</code> - Input vector of 2D points, stored in std::vector<> or Mat</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <h4>Laplacian</h4>
- <pre>public static void Laplacian(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth)</pre>
- <div class="block">Calculates the Laplacian of an image.
- The function calculates the Laplacian of the source image by adding up the second x and y
- derivatives calculated using the Sobel operator:
- \(\texttt{dst} = \Delta \texttt{src} = \frac{\partial^2 \texttt{src}}{\partial x^2} + \frac{\partial^2 \texttt{src}}{\partial y^2}\)
- This is done when <code>ksize &gt; 1</code>. When <code>ksize == 1</code>, the Laplacian is computed by filtering the image
- with the following \(3 \times 3\) aperture:
- \(\vecthreethree {0}{1}{0}{1}{-4}{1}{0}{1}{0}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Desired depth of the destination image, see REF: filter_depths "combinations".
- details. The size must be positive and odd.
- applied. See #getDerivKernels for details.
- SEE: Sobel, Scharr</dd>
- </dl>
- </li>
- </ul>
- <a name="Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>Laplacian</h4>
- <pre>public static void Laplacian(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize)</pre>
- <div class="block">Calculates the Laplacian of an image.
- The function calculates the Laplacian of the source image by adding up the second x and y
- derivatives calculated using the Sobel operator:
- \(\texttt{dst} = \Delta \texttt{src} = \frac{\partial^2 \texttt{src}}{\partial x^2} + \frac{\partial^2 \texttt{src}}{\partial y^2}\)
- This is done when <code>ksize &gt; 1</code>. When <code>ksize == 1</code>, the Laplacian is computed by filtering the image
- with the following \(3 \times 3\) aperture:
- \(\vecthreethree {0}{1}{0}{1}{-4}{1}{0}{1}{0}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Desired depth of the destination image, see REF: filter_depths "combinations".</dd>
- <dd><code>ksize</code> - Aperture size used to compute the second-derivative filters. See #getDerivKernels for
- details. The size must be positive and odd.
- applied. See #getDerivKernels for details.
- SEE: Sobel, Scharr</dd>
- </dl>
- </li>
- </ul>
- <a name="Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Laplacian</h4>
- <pre>public static void Laplacian(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale)</pre>
- <div class="block">Calculates the Laplacian of an image.
- The function calculates the Laplacian of the source image by adding up the second x and y
- derivatives calculated using the Sobel operator:
- \(\texttt{dst} = \Delta \texttt{src} = \frac{\partial^2 \texttt{src}}{\partial x^2} + \frac{\partial^2 \texttt{src}}{\partial y^2}\)
- This is done when <code>ksize &gt; 1</code>. When <code>ksize == 1</code>, the Laplacian is computed by filtering the image
- with the following \(3 \times 3\) aperture:
- \(\vecthreethree {0}{1}{0}{1}{-4}{1}{0}{1}{0}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Desired depth of the destination image, see REF: filter_depths "combinations".</dd>
- <dd><code>ksize</code> - Aperture size used to compute the second-derivative filters. See #getDerivKernels for
- details. The size must be positive and odd.</dd>
- <dd><code>scale</code> - Optional scale factor for the computed Laplacian values. By default, no scaling is
- applied. See #getDerivKernels for details.
- SEE: Sobel, Scharr</dd>
- </dl>
- </li>
- </ul>
- <a name="Laplacian-org.opencv.core.Mat-org.opencv.core.Mat-int-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Laplacian</h4>
- <pre>public static void Laplacian(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale,
- double delta)</pre>
- <div class="block">Calculates the Laplacian of an image.
- The function calculates the Laplacian of the source image by adding up the second x and y
- derivatives calculated using the Sobel operator:
- \(\texttt{dst} = \Delta \texttt{src} = \frac{\partial^2 \texttt{src}}{\partial x^2} + \frac{\partial^2 \texttt{src}}{\partial y^2}\)
- This is done when <code>ksize &gt; 1</code>. When <code>ksize == 1</code>, the Laplacian is computed by filtering the image
- with the following \(3 \times 3\) aperture:
- \(\vecthreethree {0}{1}{0}{1}{-4}{1}{0}{1}{0}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Desired depth of the destination image, see REF: filter_depths "combinations".</dd>
- <dd><code>ksize</code> - Aperture size used to compute the second-derivative filters. See #getDerivKernels for
- details. The size must be positive and odd.</dd>
- <dd><code>scale</code> - Optional scale factor for the computed Laplacian values. By default, no scaling is
- applied. See #getDerivKernels for details.</dd>
- <dd><code>delta</code> - Optional delta value that is added to the results prior to storing them in dst .
- SEE: Sobel, Scharr</dd>
- </dl>
- </li>
- </ul>
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- <pre>public static void Laplacian(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int ksize,
- double scale,
- double delta,
- int borderType)</pre>
- <div class="block">Calculates the Laplacian of an image.
- The function calculates the Laplacian of the source image by adding up the second x and y
- derivatives calculated using the Sobel operator:
- \(\texttt{dst} = \Delta \texttt{src} = \frac{\partial^2 \texttt{src}}{\partial x^2} + \frac{\partial^2 \texttt{src}}{\partial y^2}\)
- This is done when <code>ksize &gt; 1</code>. When <code>ksize == 1</code>, the Laplacian is computed by filtering the image
- with the following \(3 \times 3\) aperture:
- \(\vecthreethree {0}{1}{0}{1}{-4}{1}{0}{1}{0}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Desired depth of the destination image, see REF: filter_depths "combinations".</dd>
- <dd><code>ksize</code> - Aperture size used to compute the second-derivative filters. See #getDerivKernels for
- details. The size must be positive and odd.</dd>
- <dd><code>scale</code> - Optional scale factor for the computed Laplacian values. By default, no scaling is
- applied. See #getDerivKernels for details.</dd>
- <dd><code>delta</code> - Optional delta value that is added to the results prior to storing them in dst .</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: Sobel, Scharr</dd>
- </dl>
- </li>
- </ul>
- <a name="line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">
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- <h4>line</h4>
- <pre>public static void line(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a line segment connecting two points.
- The function line draws the line segment between pt1 and pt2 points in the image. The line is
- clipped by the image boundaries. For non-antialiased lines with integer coordinates, the 8-connected
- or 4-connected Bresenham algorithm is used. Thick lines are drawn with rounding endings. Antialiased
- lines are drawn using Gaussian filtering.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - First point of the line segment.</dd>
- <dd><code>pt2</code> - Second point of the line segment.</dd>
- <dd><code>color</code> - Line color.</dd>
- </dl>
- </li>
- </ul>
- <a name="line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">
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- <h4>line</h4>
- <pre>public static void line(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws a line segment connecting two points.
- The function line draws the line segment between pt1 and pt2 points in the image. The line is
- clipped by the image boundaries. For non-antialiased lines with integer coordinates, the 8-connected
- or 4-connected Bresenham algorithm is used. Thick lines are drawn with rounding endings. Antialiased
- lines are drawn using Gaussian filtering.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - First point of the line segment.</dd>
- <dd><code>pt2</code> - Second point of the line segment.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- </dl>
- </li>
- </ul>
- <a name="line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">
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- <h4>line</h4>
- <pre>public static void line(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws a line segment connecting two points.
- The function line draws the line segment between pt1 and pt2 points in the image. The line is
- clipped by the image boundaries. For non-antialiased lines with integer coordinates, the 8-connected
- or 4-connected Bresenham algorithm is used. Thick lines are drawn with rounding endings. Antialiased
- lines are drawn using Gaussian filtering.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - First point of the line segment.</dd>
- <dd><code>pt2</code> - Second point of the line segment.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>lineType</code> - Type of the line. See #LineTypes.</dd>
- </dl>
- </li>
- </ul>
- <a name="line-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">
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- <li class="blockList">
- <h4>line</h4>
- <pre>public static void line(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">Draws a line segment connecting two points.
- The function line draws the line segment between pt1 and pt2 points in the image. The line is
- clipped by the image boundaries. For non-antialiased lines with integer coordinates, the 8-connected
- or 4-connected Bresenham algorithm is used. Thick lines are drawn with rounding endings. Antialiased
- lines are drawn using Gaussian filtering.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - First point of the line segment.</dd>
- <dd><code>pt2</code> - Second point of the line segment.</dd>
- <dd><code>color</code> - Line color.</dd>
- <dd><code>thickness</code> - Line thickness.</dd>
- <dd><code>lineType</code> - Type of the line. See #LineTypes.</dd>
- <dd><code>shift</code> - Number of fractional bits in the point coordinates.</dd>
- </dl>
- </li>
- </ul>
- <a name="matchShapes-org.opencv.core.Mat-org.opencv.core.Mat-int-double-">
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- <h4>matchShapes</h4>
- <pre>public static double matchShapes(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> contour2,
- int method,
- double parameter)</pre>
- <div class="block">Compares two shapes.
- The function compares two shapes. All three implemented methods use the Hu invariants (see #HuMoments)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour1</code> - First contour or grayscale image.</dd>
- <dd><code>contour2</code> - Second contour or grayscale image.</dd>
- <dd><code>method</code> - Comparison method, see #ShapeMatchModes</dd>
- <dd><code>parameter</code> - Method-specific parameter (not supported now).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="matchTemplate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <h4>matchTemplate</h4>
- <pre>public static void matchTemplate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templ,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
- int method)</pre>
- <div class="block">Compares a template against overlapped image regions.
- The function slides through image , compares the overlapped patches of size \(w \times h\) against
- templ using the specified method and stores the comparison results in result . #TemplateMatchModes
- describes the formulae for the available comparison methods ( \(I\) denotes image, \(T\)
- template, \(R\) result, \(M\) the optional mask ). The summation is done over template and/or
- the image patch: \(x' = 0...w-1, y' = 0...h-1\)
- After the function finishes the comparison, the best matches can be found as global minimums (when
- #TM_SQDIFF was used) or maximums (when #TM_CCORR or #TM_CCOEFF was used) using the
- #minMaxLoc function. In case of a color image, template summation in the numerator and each sum in
- the denominator is done over all of the channels and separate mean values are used for each channel.
- That is, the function can take a color template and a color image. The result will still be a
- single-channel image, which is easier to analyze.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Image where the search is running. It must be 8-bit or 32-bit floating-point.</dd>
- <dd><code>templ</code> - Searched template. It must be not greater than the source image and have the same
- data type.</dd>
- <dd><code>result</code> - Map of comparison results. It must be single-channel 32-bit floating-point. If image
- is \(W \times H\) and templ is \(w \times h\) , then result is \((W-w+1) \times (H-h+1)\) .</dd>
- <dd><code>method</code> - Parameter specifying the comparison method, see #TemplateMatchModes
- of channels as template or only one channel, which is then used for all template and
- image channels. If the data type is #CV_8U, the mask is interpreted as a binary mask,
- meaning only elements where mask is nonzero are used and are kept unchanged independent
- of the actual mask value (weight equals 1). For data tpye #CV_32F, the mask values are
- used as weights. The exact formulas are documented in #TemplateMatchModes.</dd>
- </dl>
- </li>
- </ul>
- <a name="matchTemplate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">
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- <pre>public static void matchTemplate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> templ,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
- int method,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask)</pre>
- <div class="block">Compares a template against overlapped image regions.
- The function slides through image , compares the overlapped patches of size \(w \times h\) against
- templ using the specified method and stores the comparison results in result . #TemplateMatchModes
- describes the formulae for the available comparison methods ( \(I\) denotes image, \(T\)
- template, \(R\) result, \(M\) the optional mask ). The summation is done over template and/or
- the image patch: \(x' = 0...w-1, y' = 0...h-1\)
- After the function finishes the comparison, the best matches can be found as global minimums (when
- #TM_SQDIFF was used) or maximums (when #TM_CCORR or #TM_CCOEFF was used) using the
- #minMaxLoc function. In case of a color image, template summation in the numerator and each sum in
- the denominator is done over all of the channels and separate mean values are used for each channel.
- That is, the function can take a color template and a color image. The result will still be a
- single-channel image, which is easier to analyze.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Image where the search is running. It must be 8-bit or 32-bit floating-point.</dd>
- <dd><code>templ</code> - Searched template. It must be not greater than the source image and have the same
- data type.</dd>
- <dd><code>result</code> - Map of comparison results. It must be single-channel 32-bit floating-point. If image
- is \(W \times H\) and templ is \(w \times h\) , then result is \((W-w+1) \times (H-h+1)\) .</dd>
- <dd><code>method</code> - Parameter specifying the comparison method, see #TemplateMatchModes</dd>
- <dd><code>mask</code> - Optional mask. It must have the same size as templ. It must either have the same number
- of channels as template or only one channel, which is then used for all template and
- image channels. If the data type is #CV_8U, the mask is interpreted as a binary mask,
- meaning only elements where mask is nonzero are used and are kept unchanged independent
- of the actual mask value (weight equals 1). For data tpye #CV_32F, the mask values are
- used as weights. The exact formulas are documented in #TemplateMatchModes.</dd>
- </dl>
- </li>
- </ul>
- <a name="medianBlur-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- </a>
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- <h4>medianBlur</h4>
- <pre>public static void medianBlur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize)</pre>
- <div class="block">Blurs an image using the median filter.
- The function smoothes an image using the median filter with the \(\texttt{ksize} \times
- \texttt{ksize}\) aperture. Each channel of a multi-channel image is processed independently.
- In-place operation is supported.
- <b>Note:</b> The median filter uses #BORDER_REPLICATE internally to cope with border pixels, see #BorderTypes</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input 1-, 3-, or 4-channel image; when ksize is 3 or 5, the image depth should be
- CV_8U, CV_16U, or CV_32F, for larger aperture sizes, it can only be CV_8U.</dd>
- <dd><code>dst</code> - destination array of the same size and type as src.</dd>
- <dd><code>ksize</code> - aperture linear size; it must be odd and greater than 1, for example: 3, 5, 7 ...
- SEE: bilateralFilter, blur, boxFilter, GaussianBlur</dd>
- </dl>
- </li>
- </ul>
- <a name="minAreaRect-org.opencv.core.MatOfPoint2f-">
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- </a>
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- <h4>minAreaRect</h4>
- <pre>public static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> minAreaRect(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points)</pre>
- <div class="block">Finds a rotated rectangle of the minimum area enclosing the input 2D point set.
- The function calculates and returns the minimum-area bounding rectangle (possibly rotated) for a
- specified point set. Developer should keep in mind that the returned RotatedRect can contain negative
- indices when data is close to the containing Mat element boundary.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input vector of 2D points, stored in std::vector<> or Mat</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="minEnclosingCircle-org.opencv.core.MatOfPoint2f-org.opencv.core.Point-float:A-">
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- </a>
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- <h4>minEnclosingCircle</h4>
- <pre>public static void minEnclosingCircle(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> points,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- float[] radius)</pre>
- <div class="block">Finds a circle of the minimum area enclosing a 2D point set.
- The function finds the minimal enclosing circle of a 2D point set using an iterative algorithm.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input vector of 2D points, stored in std::vector<> or Mat</dd>
- <dd><code>center</code> - Output center of the circle.</dd>
- <dd><code>radius</code> - Output radius of the circle.</dd>
- </dl>
- </li>
- </ul>
- <a name="minEnclosingTriangle-org.opencv.core.Mat-org.opencv.core.Mat-">
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- </a>
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- <h4>minEnclosingTriangle</h4>
- <pre>public static double minEnclosingTriangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> points,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> triangle)</pre>
- <div class="block">Finds a triangle of minimum area enclosing a 2D point set and returns its area.
- The function finds a triangle of minimum area enclosing the given set of 2D points and returns its
- area. The output for a given 2D point set is shown in the image below. 2D points are depicted in
- red* and the enclosing triangle in *yellow*.
- 
- The implementation of the algorithm is based on O'Rourke's CITE: ORourke86 and Klee and Laskowski's
- CITE: KleeLaskowski85 papers. O'Rourke provides a \(\theta(n)\) algorithm for finding the minimal
- enclosing triangle of a 2D convex polygon with n vertices. Since the #minEnclosingTriangle function
- takes a 2D point set as input an additional preprocessing step of computing the convex hull of the
- 2D point set is required. The complexity of the #convexHull function is \(O(n log(n))\) which is higher
- than \(\theta(n)\). Thus the overall complexity of the function is \(O(n log(n))\).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>points</code> - Input vector of 2D points with depth CV_32S or CV_32F, stored in std::vector<> or Mat</dd>
- <dd><code>triangle</code> - Output vector of three 2D points defining the vertices of the triangle. The depth
- of the OutputArray must be CV_32F.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="moments-org.opencv.core.Mat-">
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- </a>
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- <h4>moments</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a> moments(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array)</pre>
- <div class="block">Calculates all of the moments up to the third order of a polygon or rasterized shape.
- The function computes moments, up to the 3rd order, of a vector shape or a rasterized shape. The
- results are returned in the structure cv::Moments.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>array</code> - Raster image (single-channel, 8-bit or floating-point 2D array) or an array (
- \(1 \times N\) or \(N \times 1\) ) of 2D points (Point or Point2f ).
- used for images only.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>moments.
- <b>Note:</b> Only applicable to contour moments calculations from Python bindings: Note that the numpy
- type for the input array should be either np.int32 or np.float32.
- SEE: contourArea, arcLength</dd>
- </dl>
- </li>
- </ul>
- <a name="moments-org.opencv.core.Mat-boolean-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>moments</h4>
- <pre>public static <a href="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</a> moments(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> array,
- boolean binaryImage)</pre>
- <div class="block">Calculates all of the moments up to the third order of a polygon or rasterized shape.
- The function computes moments, up to the 3rd order, of a vector shape or a rasterized shape. The
- results are returned in the structure cv::Moments.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>array</code> - Raster image (single-channel, 8-bit or floating-point 2D array) or an array (
- \(1 \times N\) or \(N \times 1\) ) of 2D points (Point or Point2f ).</dd>
- <dd><code>binaryImage</code> - If it is true, all non-zero image pixels are treated as 1's. The parameter is
- used for images only.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>moments.
- <b>Note:</b> Only applicable to contour moments calculations from Python bindings: Note that the numpy
- type for the input array should be either np.int32 or np.float32.
- SEE: contourArea, arcLength</dd>
- </dl>
- </li>
- </ul>
- <a name="morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-">
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- <h4>morphologyEx</h4>
- <pre>public static void morphologyEx(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel)</pre>
- <div class="block">Performs advanced morphological transformations.
- The function cv::morphologyEx can perform advanced morphological transformations using an erosion and dilation as
- basic operations.
- Any of the operations can be done in-place. In case of multi-channel images, each channel is
- processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image. The number of channels can be arbitrary. The depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as source image.</dd>
- <dd><code>op</code> - Type of a morphological operation, see #MorphTypes</dd>
- <dd><code>kernel</code> - Structuring element. It can be created using #getStructuringElement.
- kernel center.
- meaning.
- SEE: dilate, erode, getStructuringElement
- <b>Note:</b> The number of iterations is the number of times erosion or dilatation operation will be applied.
- For instance, an opening operation (#MORPH_OPEN) with two iterations is equivalent to apply
- successively: erode -> erode -> dilate -> dilate (and not erode -> dilate -> erode -> dilate).</dd>
- </dl>
- </li>
- </ul>
- <a name="morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-">
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- <h4>morphologyEx</h4>
- <pre>public static void morphologyEx(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Performs advanced morphological transformations.
- The function cv::morphologyEx can perform advanced morphological transformations using an erosion and dilation as
- basic operations.
- Any of the operations can be done in-place. In case of multi-channel images, each channel is
- processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image. The number of channels can be arbitrary. The depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as source image.</dd>
- <dd><code>op</code> - Type of a morphological operation, see #MorphTypes</dd>
- <dd><code>kernel</code> - Structuring element. It can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - Anchor position with the kernel. Negative values mean that the anchor is at the
- kernel center.
- meaning.
- SEE: dilate, erode, getStructuringElement
- <b>Note:</b> The number of iterations is the number of times erosion or dilatation operation will be applied.
- For instance, an opening operation (#MORPH_OPEN) with two iterations is equivalent to apply
- successively: erode -> erode -> dilate -> dilate (and not erode -> dilate -> erode -> dilate).</dd>
- </dl>
- </li>
- </ul>
- <a name="morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>morphologyEx</h4>
- <pre>public static void morphologyEx(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations)</pre>
- <div class="block">Performs advanced morphological transformations.
- The function cv::morphologyEx can perform advanced morphological transformations using an erosion and dilation as
- basic operations.
- Any of the operations can be done in-place. In case of multi-channel images, each channel is
- processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image. The number of channels can be arbitrary. The depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as source image.</dd>
- <dd><code>op</code> - Type of a morphological operation, see #MorphTypes</dd>
- <dd><code>kernel</code> - Structuring element. It can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - Anchor position with the kernel. Negative values mean that the anchor is at the
- kernel center.</dd>
- <dd><code>iterations</code> - Number of times erosion and dilation are applied.
- meaning.
- SEE: dilate, erode, getStructuringElement
- <b>Note:</b> The number of iterations is the number of times erosion or dilatation operation will be applied.
- For instance, an opening operation (#MORPH_OPEN) with two iterations is equivalent to apply
- successively: erode -> erode -> dilate -> dilate (and not erode -> dilate -> erode -> dilate).</dd>
- </dl>
- </li>
- </ul>
- <a name="morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>morphologyEx</h4>
- <pre>public static void morphologyEx(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType)</pre>
- <div class="block">Performs advanced morphological transformations.
- The function cv::morphologyEx can perform advanced morphological transformations using an erosion and dilation as
- basic operations.
- Any of the operations can be done in-place. In case of multi-channel images, each channel is
- processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image. The number of channels can be arbitrary. The depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as source image.</dd>
- <dd><code>op</code> - Type of a morphological operation, see #MorphTypes</dd>
- <dd><code>kernel</code> - Structuring element. It can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - Anchor position with the kernel. Negative values mean that the anchor is at the
- kernel center.</dd>
- <dd><code>iterations</code> - Number of times erosion and dilation are applied.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- meaning.
- SEE: dilate, erode, getStructuringElement
- <b>Note:</b> The number of iterations is the number of times erosion or dilatation operation will be applied.
- For instance, an opening operation (#MORPH_OPEN) with two iterations is equivalent to apply
- successively: erode -> erode -> dilate -> dilate (and not erode -> dilate -> erode -> dilate).</dd>
- </dl>
- </li>
- </ul>
- <a name="morphologyEx-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Point-int-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>morphologyEx</h4>
- <pre>public static void morphologyEx(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int op,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernel,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- int iterations,
- int borderType,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Performs advanced morphological transformations.
- The function cv::morphologyEx can perform advanced morphological transformations using an erosion and dilation as
- basic operations.
- Any of the operations can be done in-place. In case of multi-channel images, each channel is
- processed independently.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image. The number of channels can be arbitrary. The depth should be one of
- CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.</dd>
- <dd><code>dst</code> - Destination image of the same size and type as source image.</dd>
- <dd><code>op</code> - Type of a morphological operation, see #MorphTypes</dd>
- <dd><code>kernel</code> - Structuring element. It can be created using #getStructuringElement.</dd>
- <dd><code>anchor</code> - Anchor position with the kernel. Negative values mean that the anchor is at the
- kernel center.</dd>
- <dd><code>iterations</code> - Number of times erosion and dilation are applied.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.</dd>
- <dd><code>borderValue</code> - Border value in case of a constant border. The default value has a special
- meaning.
- SEE: dilate, erode, getStructuringElement
- <b>Note:</b> The number of iterations is the number of times erosion or dilatation operation will be applied.
- For instance, an opening operation (#MORPH_OPEN) with two iterations is equivalent to apply
- successively: erode -> erode -> dilate -> dilate (and not erode -> dilate -> erode -> dilate).</dd>
- </dl>
- </li>
- </ul>
- <a name="phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>phaseCorrelate</h4>
- <pre>public static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> phaseCorrelate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2)</pre>
- <div class="block">The function is used to detect translational shifts that occur between two images.
- The operation takes advantage of the Fourier shift theorem for detecting the translational shift in
- the frequency domain. It can be used for fast image registration as well as motion estimation. For
- more information please see <http://en.wikipedia.org/wiki/Phase_correlation>
- Calculates the cross-power spectrum of two supplied source arrays. The arrays are padded if needed
- with getOptimalDFTSize.
- The function performs the following equations:
- <ul>
- <li>
- First it applies a Hanning window (see <http://en.wikipedia.org/wiki/Hann_function>) to each
- image to remove possible edge effects. This window is cached until the array size changes to speed
- up processing time.
- </li>
- <li>
- Next it computes the forward DFTs of each source array:
- \(\mathbf{G}_a = \mathcal{F}\{src_1\}, \; \mathbf{G}_b = \mathcal{F}\{src_2\}\)
- where \(\mathcal{F}\) is the forward DFT.
- </li>
- <li>
- It then computes the cross-power spectrum of each frequency domain array:
- \(R = \frac{ \mathbf{G}_a \mathbf{G}_b^*}{|\mathbf{G}_a \mathbf{G}_b^*|}\)
- </li>
- <li>
- Next the cross-correlation is converted back into the time domain via the inverse DFT:
- \(r = \mathcal{F}^{-1}\{R\}\)
- </li>
- <li>
- Finally, it computes the peak location and computes a 5x5 weighted centroid around the peak to
- achieve sub-pixel accuracy.
- \((\Delta x, \Delta y) = \texttt{weightedCentroid} \{\arg \max_{(x, y)}\{r\}\}\)
- </li>
- <li>
- If non-zero, the response parameter is computed as the sum of the elements of r within the 5x5
- centroid around the peak location. It is normalized to a maximum of 1 (meaning there is a single
- peak) and will be smaller when there are multiple peaks.
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dd><code>src2</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>detected phase shift (sub-pixel) between the two arrays.
- SEE: dft, getOptimalDFTSize, idft, mulSpectrums createHanningWindow</dd>
- </dl>
- </li>
- </ul>
- <a name="phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>phaseCorrelate</h4>
- <pre>public static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> phaseCorrelate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> window)</pre>
- <div class="block">The function is used to detect translational shifts that occur between two images.
- The operation takes advantage of the Fourier shift theorem for detecting the translational shift in
- the frequency domain. It can be used for fast image registration as well as motion estimation. For
- more information please see <http://en.wikipedia.org/wiki/Phase_correlation>
- Calculates the cross-power spectrum of two supplied source arrays. The arrays are padded if needed
- with getOptimalDFTSize.
- The function performs the following equations:
- <ul>
- <li>
- First it applies a Hanning window (see <http://en.wikipedia.org/wiki/Hann_function>) to each
- image to remove possible edge effects. This window is cached until the array size changes to speed
- up processing time.
- </li>
- <li>
- Next it computes the forward DFTs of each source array:
- \(\mathbf{G}_a = \mathcal{F}\{src_1\}, \; \mathbf{G}_b = \mathcal{F}\{src_2\}\)
- where \(\mathcal{F}\) is the forward DFT.
- </li>
- <li>
- It then computes the cross-power spectrum of each frequency domain array:
- \(R = \frac{ \mathbf{G}_a \mathbf{G}_b^*}{|\mathbf{G}_a \mathbf{G}_b^*|}\)
- </li>
- <li>
- Next the cross-correlation is converted back into the time domain via the inverse DFT:
- \(r = \mathcal{F}^{-1}\{R\}\)
- </li>
- <li>
- Finally, it computes the peak location and computes a 5x5 weighted centroid around the peak to
- achieve sub-pixel accuracy.
- \((\Delta x, \Delta y) = \texttt{weightedCentroid} \{\arg \max_{(x, y)}\{r\}\}\)
- </li>
- <li>
- If non-zero, the response parameter is computed as the sum of the elements of r within the 5x5
- centroid around the peak location. It is normalized to a maximum of 1 (meaning there is a single
- peak) and will be smaller when there are multiple peaks.
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dd><code>src2</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dd><code>window</code> - Floating point array with windowing coefficients to reduce edge effects (optional).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>detected phase shift (sub-pixel) between the two arrays.
- SEE: dft, getOptimalDFTSize, idft, mulSpectrums createHanningWindow</dd>
- </dl>
- </li>
- </ul>
- <a name="phaseCorrelate-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double:A-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>phaseCorrelate</h4>
- <pre>public static <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> phaseCorrelate(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> window,
- double[] response)</pre>
- <div class="block">The function is used to detect translational shifts that occur between two images.
- The operation takes advantage of the Fourier shift theorem for detecting the translational shift in
- the frequency domain. It can be used for fast image registration as well as motion estimation. For
- more information please see <http://en.wikipedia.org/wiki/Phase_correlation>
- Calculates the cross-power spectrum of two supplied source arrays. The arrays are padded if needed
- with getOptimalDFTSize.
- The function performs the following equations:
- <ul>
- <li>
- First it applies a Hanning window (see <http://en.wikipedia.org/wiki/Hann_function>) to each
- image to remove possible edge effects. This window is cached until the array size changes to speed
- up processing time.
- </li>
- <li>
- Next it computes the forward DFTs of each source array:
- \(\mathbf{G}_a = \mathcal{F}\{src_1\}, \; \mathbf{G}_b = \mathcal{F}\{src_2\}\)
- where \(\mathcal{F}\) is the forward DFT.
- </li>
- <li>
- It then computes the cross-power spectrum of each frequency domain array:
- \(R = \frac{ \mathbf{G}_a \mathbf{G}_b^*}{|\mathbf{G}_a \mathbf{G}_b^*|}\)
- </li>
- <li>
- Next the cross-correlation is converted back into the time domain via the inverse DFT:
- \(r = \mathcal{F}^{-1}\{R\}\)
- </li>
- <li>
- Finally, it computes the peak location and computes a 5x5 weighted centroid around the peak to
- achieve sub-pixel accuracy.
- \((\Delta x, \Delta y) = \texttt{weightedCentroid} \{\arg \max_{(x, y)}\{r\}\}\)
- </li>
- <li>
- If non-zero, the response parameter is computed as the sum of the elements of r within the 5x5
- centroid around the peak location. It is normalized to a maximum of 1 (meaning there is a single
- peak) and will be smaller when there are multiple peaks.
- </li>
- </ul></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src1</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dd><code>src2</code> - Source floating point array (CV_32FC1 or CV_64FC1)</dd>
- <dd><code>window</code> - Floating point array with windowing coefficients to reduce edge effects (optional).</dd>
- <dd><code>response</code> - Signal power within the 5x5 centroid around the peak, between 0 and 1 (optional).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>detected phase shift (sub-pixel) between the two arrays.
- SEE: dft, getOptimalDFTSize, idft, mulSpectrums createHanningWindow</dd>
- </dl>
- </li>
- </ul>
- <a name="pointPolygonTest-org.opencv.core.MatOfPoint2f-org.opencv.core.Point-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pointPolygonTest</h4>
- <pre>public static double pointPolygonTest(<a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a> contour,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt,
- boolean measureDist)</pre>
- <div class="block">Performs a point-in-contour test.
- The function determines whether the point is inside a contour, outside, or lies on an edge (or
- coincides with a vertex). It returns positive (inside), negative (outside), or zero (on an edge)
- value, correspondingly. When measureDist=false , the return value is +1, -1, and 0, respectively.
- Otherwise, the return value is a signed distance between the point and the nearest contour edge.
- See below a sample output of the function where each image pixel is tested against the contour:
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>contour</code> - Input contour.</dd>
- <dd><code>pt</code> - Point tested against the contour.</dd>
- <dd><code>measureDist</code> - If true, the function estimates the signed distance from the point to the
- nearest contour edge. Otherwise, the function only checks if the point is inside a contour or not.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>polylines</h4>
- <pre>public static void polylines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws several polygonal curves.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygonal curves.</dd>
- <dd><code>isClosed</code> - Flag indicating whether the drawn polylines are closed or not. If they are closed,
- the function draws a line from the last vertex of each curve to its first vertex.</dd>
- <dd><code>color</code> - Polyline color.
- The function cv::polylines draws one or more polygonal curves.</dd>
- </dl>
- </li>
- </ul>
- <a name="polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>polylines</h4>
- <pre>public static void polylines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws several polygonal curves.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygonal curves.</dd>
- <dd><code>isClosed</code> - Flag indicating whether the drawn polylines are closed or not. If they are closed,
- the function draws a line from the last vertex of each curve to its first vertex.</dd>
- <dd><code>color</code> - Polyline color.</dd>
- <dd><code>thickness</code> - Thickness of the polyline edges.
- The function cv::polylines draws one or more polygonal curves.</dd>
- </dl>
- </li>
- </ul>
- <a name="polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>polylines</h4>
- <pre>public static void polylines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws several polygonal curves.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygonal curves.</dd>
- <dd><code>isClosed</code> - Flag indicating whether the drawn polylines are closed or not. If they are closed,
- the function draws a line from the last vertex of each curve to its first vertex.</dd>
- <dd><code>color</code> - Polyline color.</dd>
- <dd><code>thickness</code> - Thickness of the polyline edges.</dd>
- <dd><code>lineType</code> - Type of the line segments. See #LineTypes
- The function cv::polylines draws one or more polygonal curves.</dd>
- </dl>
- </li>
- </ul>
- <a name="polylines-org.opencv.core.Mat-java.util.List-boolean-org.opencv.core.Scalar-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>polylines</h4>
- <pre>public static void polylines(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.util.List<<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>> pts,
- boolean isClosed,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">Draws several polygonal curves.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pts</code> - Array of polygonal curves.</dd>
- <dd><code>isClosed</code> - Flag indicating whether the drawn polylines are closed or not. If they are closed,
- the function draws a line from the last vertex of each curve to its first vertex.</dd>
- <dd><code>color</code> - Polyline color.</dd>
- <dd><code>thickness</code> - Thickness of the polyline edges.</dd>
- <dd><code>lineType</code> - Type of the line segments. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the vertex coordinates.
- The function cv::polylines draws one or more polygonal curves.</dd>
- </dl>
- </li>
- </ul>
- <a name="preCornerDetect-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>preCornerDetect</h4>
- <pre>public static void preCornerDetect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize)</pre>
- <div class="block">Calculates a feature map for corner detection.
- The function calculates the complex spatial derivative-based function of the source image
- \(\texttt{dst} = (D_x \texttt{src} )^2 \cdot D_{yy} \texttt{src} + (D_y \texttt{src} )^2 \cdot D_{xx} \texttt{src} - 2 D_x \texttt{src} \cdot D_y \texttt{src} \cdot D_{xy} \texttt{src}\)
- where \(D_x\),\(D_y\) are the first image derivatives, \(D_{xx}\),\(D_{yy}\) are the second image
- derivatives, and \(D_{xy}\) is the mixed derivative.
- The corners can be found as local maximums of the functions, as shown below:
- <code>
- Mat corners, dilated_corners;
- preCornerDetect(image, corners, 3);
- // dilation with 3x3 rectangular structuring element
- dilate(corners, dilated_corners, Mat(), 1);
- Mat corner_mask = corners == dilated_corners;
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source single-channel 8-bit of floating-point image.</dd>
- <dd><code>dst</code> - Output image that has the type CV_32F and the same size as src .</dd>
- <dd><code>ksize</code> - %Aperture size of the Sobel .</dd>
- </dl>
- </li>
- </ul>
- <a name="preCornerDetect-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>preCornerDetect</h4>
- <pre>public static void preCornerDetect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ksize,
- int borderType)</pre>
- <div class="block">Calculates a feature map for corner detection.
- The function calculates the complex spatial derivative-based function of the source image
- \(\texttt{dst} = (D_x \texttt{src} )^2 \cdot D_{yy} \texttt{src} + (D_y \texttt{src} )^2 \cdot D_{xx} \texttt{src} - 2 D_x \texttt{src} \cdot D_y \texttt{src} \cdot D_{xy} \texttt{src}\)
- where \(D_x\),\(D_y\) are the first image derivatives, \(D_{xx}\),\(D_{yy}\) are the second image
- derivatives, and \(D_{xy}\) is the mixed derivative.
- The corners can be found as local maximums of the functions, as shown below:
- <code>
- Mat corners, dilated_corners;
- preCornerDetect(image, corners, 3);
- // dilation with 3x3 rectangular structuring element
- dilate(corners, dilated_corners, Mat(), 1);
- Mat corner_mask = corners == dilated_corners;
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source single-channel 8-bit of floating-point image.</dd>
- <dd><code>dst</code> - Output image that has the type CV_32F and the same size as src .</dd>
- <dd><code>ksize</code> - %Aperture size of the Sobel .</dd>
- <dd><code>borderType</code> - Pixel extrapolation method. See #BorderTypes. #BORDER_WRAP is not supported.</dd>
- </dl>
- </li>
- </ul>
- <a name="putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>putText</h4>
- <pre>public static void putText(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a text string.
- The function cv::putText renders the specified text string in the image. Symbols that cannot be rendered
- using the specified font are replaced by question marks. See #getTextSize for a text rendering code
- example.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>text</code> - Text string to be drawn.</dd>
- <dd><code>org</code> - Bottom-left corner of the text string in the image.</dd>
- <dd><code>fontFace</code> - Font type, see #HersheyFonts.</dd>
- <dd><code>fontScale</code> - Font scale factor that is multiplied by the font-specific base size.</dd>
- <dd><code>color</code> - Text color.
- it is at the top-left corner.</dd>
- </dl>
- </li>
- </ul>
- <a name="putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>putText</h4>
- <pre>public static void putText(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws a text string.
- The function cv::putText renders the specified text string in the image. Symbols that cannot be rendered
- using the specified font are replaced by question marks. See #getTextSize for a text rendering code
- example.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>text</code> - Text string to be drawn.</dd>
- <dd><code>org</code> - Bottom-left corner of the text string in the image.</dd>
- <dd><code>fontFace</code> - Font type, see #HersheyFonts.</dd>
- <dd><code>fontScale</code> - Font scale factor that is multiplied by the font-specific base size.</dd>
- <dd><code>color</code> - Text color.</dd>
- <dd><code>thickness</code> - Thickness of the lines used to draw a text.
- it is at the top-left corner.</dd>
- </dl>
- </li>
- </ul>
- <a name="putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>putText</h4>
- <pre>public static void putText(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws a text string.
- The function cv::putText renders the specified text string in the image. Symbols that cannot be rendered
- using the specified font are replaced by question marks. See #getTextSize for a text rendering code
- example.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>text</code> - Text string to be drawn.</dd>
- <dd><code>org</code> - Bottom-left corner of the text string in the image.</dd>
- <dd><code>fontFace</code> - Font type, see #HersheyFonts.</dd>
- <dd><code>fontScale</code> - Font scale factor that is multiplied by the font-specific base size.</dd>
- <dd><code>color</code> - Text color.</dd>
- <dd><code>thickness</code> - Thickness of the lines used to draw a text.</dd>
- <dd><code>lineType</code> - Line type. See #LineTypes
- it is at the top-left corner.</dd>
- </dl>
- </li>
- </ul>
- <a name="putText-org.opencv.core.Mat-java.lang.String-org.opencv.core.Point-int-double-org.opencv.core.Scalar-int-int-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>putText</h4>
- <pre>public static void putText(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- java.lang.String text,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> org,
- int fontFace,
- double fontScale,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- boolean bottomLeftOrigin)</pre>
- <div class="block">Draws a text string.
- The function cv::putText renders the specified text string in the image. Symbols that cannot be rendered
- using the specified font are replaced by question marks. See #getTextSize for a text rendering code
- example.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>text</code> - Text string to be drawn.</dd>
- <dd><code>org</code> - Bottom-left corner of the text string in the image.</dd>
- <dd><code>fontFace</code> - Font type, see #HersheyFonts.</dd>
- <dd><code>fontScale</code> - Font scale factor that is multiplied by the font-specific base size.</dd>
- <dd><code>color</code> - Text color.</dd>
- <dd><code>thickness</code> - Thickness of the lines used to draw a text.</dd>
- <dd><code>lineType</code> - Line type. See #LineTypes</dd>
- <dd><code>bottomLeftOrigin</code> - When true, the image data origin is at the bottom-left corner. Otherwise,
- it is at the top-left corner.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrDown</h4>
- <pre>public static void pyrDown(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Blurs an image and downsamples it.
- By default, size of the output image is computed as <code>Size((src.cols+1)/2, (src.rows+1)/2)</code>, but in
- any case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} *2-src.cols| \leq 2 \\ | \texttt{dstsize.height} *2-src.rows| \leq 2 \end{array}\)
- The function performs the downsampling step of the Gaussian pyramid construction. First, it
- convolves the source image with the kernel:
- \(\frac{1}{256} \begin{bmatrix} 1 & 4 & 6 & 4 & 1 \\ 4 & 16 & 24 & 16 & 4 \\ 6 & 24 & 36 & 24 & 6 \\ 4 & 16 & 24 & 16 & 4 \\ 1 & 4 & 6 & 4 & 1 \end{bmatrix}\)
- Then, it downsamples the image by rejecting even rows and columns.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the specified size and the same type as src.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrDown</h4>
- <pre>public static void pyrDown(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize)</pre>
- <div class="block">Blurs an image and downsamples it.
- By default, size of the output image is computed as <code>Size((src.cols+1)/2, (src.rows+1)/2)</code>, but in
- any case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} *2-src.cols| \leq 2 \\ | \texttt{dstsize.height} *2-src.rows| \leq 2 \end{array}\)
- The function performs the downsampling step of the Gaussian pyramid construction. First, it
- convolves the source image with the kernel:
- \(\frac{1}{256} \begin{bmatrix} 1 & 4 & 6 & 4 & 1 \\ 4 & 16 & 24 & 16 & 4 \\ 6 & 24 & 36 & 24 & 6 \\ 4 & 16 & 24 & 16 & 4 \\ 1 & 4 & 6 & 4 & 1 \end{bmatrix}\)
- Then, it downsamples the image by rejecting even rows and columns.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the specified size and the same type as src.</dd>
- <dd><code>dstsize</code> - size of the output image.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrDown-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrDown</h4>
- <pre>public static void pyrDown(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize,
- int borderType)</pre>
- <div class="block">Blurs an image and downsamples it.
- By default, size of the output image is computed as <code>Size((src.cols+1)/2, (src.rows+1)/2)</code>, but in
- any case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} *2-src.cols| \leq 2 \\ | \texttt{dstsize.height} *2-src.rows| \leq 2 \end{array}\)
- The function performs the downsampling step of the Gaussian pyramid construction. First, it
- convolves the source image with the kernel:
- \(\frac{1}{256} \begin{bmatrix} 1 & 4 & 6 & 4 & 1 \\ 4 & 16 & 24 & 16 & 4 \\ 6 & 24 & 36 & 24 & 6 \\ 4 & 16 & 24 & 16 & 4 \\ 1 & 4 & 6 & 4 & 1 \end{bmatrix}\)
- Then, it downsamples the image by rejecting even rows and columns.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the specified size and the same type as src.</dd>
- <dd><code>dstsize</code> - size of the output image.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes (#BORDER_CONSTANT isn't supported)</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrMeanShiftFiltering</h4>
- <pre>public static void pyrMeanShiftFiltering(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr)</pre>
- <div class="block">Performs initial step of meanshift segmentation of an image.
- The function implements the filtering stage of meanshift segmentation, that is, the output of the
- function is the filtered "posterized" image with color gradients and fine-grain texture flattened.
- At every pixel (X,Y) of the input image (or down-sized input image, see below) the function executes
- meanshift iterations, that is, the pixel (X,Y) neighborhood in the joint space-color hyperspace is
- considered:
- \((x,y): X- \texttt{sp} \le x \le X+ \texttt{sp} , Y- \texttt{sp} \le y \le Y+ \texttt{sp} , ||(R,G,B)-(r,g,b)|| \le \texttt{sr}\)
- where (R,G,B) and (r,g,b) are the vectors of color components at (X,Y) and (x,y), respectively
- (though, the algorithm does not depend on the color space used, so any 3-component color space can
- be used instead). Over the neighborhood the average spatial value (X',Y') and average color vector
- (R',G',B') are found and they act as the neighborhood center on the next iteration:
- \((X,Y)~(X',Y'), (R,G,B)~(R',G',B').\)
- After the iterations over, the color components of the initial pixel (that is, the pixel from where
- the iterations started) are set to the final value (average color at the last iteration):
- \(I(X,Y) <- (R*,G*,B*)\)
- When maxLevel > 0, the gaussian pyramid of maxLevel+1 levels is built, and the above procedure is
- run on the smallest layer first. After that, the results are propagated to the larger layer and the
- iterations are run again only on those pixels where the layer colors differ by more than sr from the
- lower-resolution layer of the pyramid. That makes boundaries of color regions sharper. Note that the
- results will be actually different from the ones obtained by running the meanshift procedure on the
- whole original image (i.e. when maxLevel==0).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - The source 8-bit, 3-channel image.</dd>
- <dd><code>dst</code> - The destination image of the same format and the same size as the source.</dd>
- <dd><code>sp</code> - The spatial window radius.</dd>
- <dd><code>sr</code> - The color window radius.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrMeanShiftFiltering</h4>
- <pre>public static void pyrMeanShiftFiltering(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr,
- int maxLevel)</pre>
- <div class="block">Performs initial step of meanshift segmentation of an image.
- The function implements the filtering stage of meanshift segmentation, that is, the output of the
- function is the filtered "posterized" image with color gradients and fine-grain texture flattened.
- At every pixel (X,Y) of the input image (or down-sized input image, see below) the function executes
- meanshift iterations, that is, the pixel (X,Y) neighborhood in the joint space-color hyperspace is
- considered:
- \((x,y): X- \texttt{sp} \le x \le X+ \texttt{sp} , Y- \texttt{sp} \le y \le Y+ \texttt{sp} , ||(R,G,B)-(r,g,b)|| \le \texttt{sr}\)
- where (R,G,B) and (r,g,b) are the vectors of color components at (X,Y) and (x,y), respectively
- (though, the algorithm does not depend on the color space used, so any 3-component color space can
- be used instead). Over the neighborhood the average spatial value (X',Y') and average color vector
- (R',G',B') are found and they act as the neighborhood center on the next iteration:
- \((X,Y)~(X',Y'), (R,G,B)~(R',G',B').\)
- After the iterations over, the color components of the initial pixel (that is, the pixel from where
- the iterations started) are set to the final value (average color at the last iteration):
- \(I(X,Y) <- (R*,G*,B*)\)
- When maxLevel > 0, the gaussian pyramid of maxLevel+1 levels is built, and the above procedure is
- run on the smallest layer first. After that, the results are propagated to the larger layer and the
- iterations are run again only on those pixels where the layer colors differ by more than sr from the
- lower-resolution layer of the pyramid. That makes boundaries of color regions sharper. Note that the
- results will be actually different from the ones obtained by running the meanshift procedure on the
- whole original image (i.e. when maxLevel==0).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - The source 8-bit, 3-channel image.</dd>
- <dd><code>dst</code> - The destination image of the same format and the same size as the source.</dd>
- <dd><code>sp</code> - The spatial window radius.</dd>
- <dd><code>sr</code> - The color window radius.</dd>
- <dd><code>maxLevel</code> - Maximum level of the pyramid for the segmentation.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrMeanShiftFiltering-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-org.opencv.core.TermCriteria-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrMeanShiftFiltering</h4>
- <pre>public static void pyrMeanShiftFiltering(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double sp,
- double sr,
- int maxLevel,
- <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a> termcrit)</pre>
- <div class="block">Performs initial step of meanshift segmentation of an image.
- The function implements the filtering stage of meanshift segmentation, that is, the output of the
- function is the filtered "posterized" image with color gradients and fine-grain texture flattened.
- At every pixel (X,Y) of the input image (or down-sized input image, see below) the function executes
- meanshift iterations, that is, the pixel (X,Y) neighborhood in the joint space-color hyperspace is
- considered:
- \((x,y): X- \texttt{sp} \le x \le X+ \texttt{sp} , Y- \texttt{sp} \le y \le Y+ \texttt{sp} , ||(R,G,B)-(r,g,b)|| \le \texttt{sr}\)
- where (R,G,B) and (r,g,b) are the vectors of color components at (X,Y) and (x,y), respectively
- (though, the algorithm does not depend on the color space used, so any 3-component color space can
- be used instead). Over the neighborhood the average spatial value (X',Y') and average color vector
- (R',G',B') are found and they act as the neighborhood center on the next iteration:
- \((X,Y)~(X',Y'), (R,G,B)~(R',G',B').\)
- After the iterations over, the color components of the initial pixel (that is, the pixel from where
- the iterations started) are set to the final value (average color at the last iteration):
- \(I(X,Y) <- (R*,G*,B*)\)
- When maxLevel > 0, the gaussian pyramid of maxLevel+1 levels is built, and the above procedure is
- run on the smallest layer first. After that, the results are propagated to the larger layer and the
- iterations are run again only on those pixels where the layer colors differ by more than sr from the
- lower-resolution layer of the pyramid. That makes boundaries of color regions sharper. Note that the
- results will be actually different from the ones obtained by running the meanshift procedure on the
- whole original image (i.e. when maxLevel==0).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - The source 8-bit, 3-channel image.</dd>
- <dd><code>dst</code> - The destination image of the same format and the same size as the source.</dd>
- <dd><code>sp</code> - The spatial window radius.</dd>
- <dd><code>sr</code> - The color window radius.</dd>
- <dd><code>maxLevel</code> - Maximum level of the pyramid for the segmentation.</dd>
- <dd><code>termcrit</code> - Termination criteria: when to stop meanshift iterations.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrUp</h4>
- <pre>public static void pyrUp(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
- <div class="block">Upsamples an image and then blurs it.
- By default, size of the output image is computed as <code>Size(src.cols\*2, (src.rows\*2)</code>, but in any
- case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} -src.cols*2| \leq ( \texttt{dstsize.width} \mod 2) \\ | \texttt{dstsize.height} -src.rows*2| \leq ( \texttt{dstsize.height} \mod 2) \end{array}\)
- The function performs the upsampling step of the Gaussian pyramid construction, though it can
- actually be used to construct the Laplacian pyramid. First, it upsamples the source image by
- injecting even zero rows and columns and then convolves the result with the same kernel as in
- pyrDown multiplied by 4.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image. It has the specified size and the same type as src .</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrUp</h4>
- <pre>public static void pyrUp(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize)</pre>
- <div class="block">Upsamples an image and then blurs it.
- By default, size of the output image is computed as <code>Size(src.cols\*2, (src.rows\*2)</code>, but in any
- case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} -src.cols*2| \leq ( \texttt{dstsize.width} \mod 2) \\ | \texttt{dstsize.height} -src.rows*2| \leq ( \texttt{dstsize.height} \mod 2) \end{array}\)
- The function performs the upsampling step of the Gaussian pyramid construction, though it can
- actually be used to construct the Laplacian pyramid. First, it upsamples the source image by
- injecting even zero rows and columns and then convolves the result with the same kernel as in
- pyrDown multiplied by 4.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image. It has the specified size and the same type as src .</dd>
- <dd><code>dstsize</code> - size of the output image.</dd>
- </dl>
- </li>
- </ul>
- <a name="pyrUp-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>pyrUp</h4>
- <pre>public static void pyrUp(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dstsize,
- int borderType)</pre>
- <div class="block">Upsamples an image and then blurs it.
- By default, size of the output image is computed as <code>Size(src.cols\*2, (src.rows\*2)</code>, but in any
- case, the following conditions should be satisfied:
- \(\begin{array}{l} | \texttt{dstsize.width} -src.cols*2| \leq ( \texttt{dstsize.width} \mod 2) \\ | \texttt{dstsize.height} -src.rows*2| \leq ( \texttt{dstsize.height} \mod 2) \end{array}\)
- The function performs the upsampling step of the Gaussian pyramid construction, though it can
- actually be used to construct the Laplacian pyramid. First, it upsamples the source image by
- injecting even zero rows and columns and then convolves the result with the same kernel as in
- pyrDown multiplied by 4.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image. It has the specified size and the same type as src .</dd>
- <dd><code>dstsize</code> - size of the output image.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes (only #BORDER_DEFAULT is supported)</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.
- The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners
- are pt1 and pt2.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - Vertex of the rectangle.</dd>
- <dd><code>pt2</code> - Vertex of the rectangle opposite to pt1 .</dd>
- <dd><code>color</code> - Rectangle color or brightness (grayscale image).
- mean that the function has to draw a filled rectangle.</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.
- The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners
- are pt1 and pt2.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - Vertex of the rectangle.</dd>
- <dd><code>pt2</code> - Vertex of the rectangle opposite to pt1 .</dd>
- <dd><code>color</code> - Rectangle color or brightness (grayscale image).</dd>
- <dd><code>thickness</code> - Thickness of lines that make up the rectangle. Negative values, like #FILLED,
- mean that the function has to draw a filled rectangle.</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.
- The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners
- are pt1 and pt2.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - Vertex of the rectangle.</dd>
- <dd><code>pt2</code> - Vertex of the rectangle opposite to pt1 .</dd>
- <dd><code>color</code> - Rectangle color or brightness (grayscale image).</dd>
- <dd><code>thickness</code> - Thickness of lines that make up the rectangle. Negative values, like #FILLED,
- mean that the function has to draw a filled rectangle.</dd>
- <dd><code>lineType</code> - Type of the line. See #LineTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Point-org.opencv.core.Scalar-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt1,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> pt2,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">Draws a simple, thick, or filled up-right rectangle.
- The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners
- are pt1 and pt2.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - Image.</dd>
- <dd><code>pt1</code> - Vertex of the rectangle.</dd>
- <dd><code>pt2</code> - Vertex of the rectangle opposite to pt1 .</dd>
- <dd><code>color</code> - Rectangle color or brightness (grayscale image).</dd>
- <dd><code>thickness</code> - Thickness of lines that make up the rectangle. Negative values, like #FILLED,
- mean that the function has to draw a filled rectangle.</dd>
- <dd><code>lineType</code> - Type of the line. See #LineTypes</dd>
- <dd><code>shift</code> - Number of fractional bits in the point coordinates.</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color)</pre>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - automatically generated</dd>
- <dd><code>rec</code> - automatically generated</dd>
- <dd><code>color</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness)</pre>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - automatically generated</dd>
- <dd><code>rec</code> - automatically generated</dd>
- <dd><code>color</code> - automatically generated</dd>
- <dd><code>thickness</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType)</pre>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - automatically generated</dd>
- <dd><code>rec</code> - automatically generated</dd>
- <dd><code>color</code> - automatically generated</dd>
- <dd><code>thickness</code> - automatically generated</dd>
- <dd><code>lineType</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="rectangle-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.Scalar-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rectangle</h4>
- <pre>public static void rectangle(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> img,
- <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a> rec,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> color,
- int thickness,
- int lineType,
- int shift)</pre>
- <div class="block">use <code>rec</code> parameter as alternative specification of the drawn rectangle: `r.tl() and
- r.br()-Point(1,1)` are opposite corners</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>img</code> - automatically generated</dd>
- <dd><code>rec</code> - automatically generated</dd>
- <dd><code>color</code> - automatically generated</dd>
- <dd><code>thickness</code> - automatically generated</dd>
- <dd><code>lineType</code> - automatically generated</dd>
- <dd><code>shift</code> - automatically generated</dd>
- </dl>
- </li>
- </ul>
- <a name="remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
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- <li class="blockList">
- <h4>remap</h4>
- <pre>public static void remap(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation)</pre>
- <div class="block">Applies a generic geometrical transformation to an image.
- The function remap transforms the source image using the specified map:
- \(\texttt{dst} (x,y) = \texttt{src} (map_x(x,y),map_y(x,y))\)
- where values of pixels with non-integer coordinates are computed using one of available
- interpolation methods. \(map_x\) and \(map_y\) can be encoded as separate floating-point maps
- in \(map_1\) and \(map_2\) respectively, or interleaved floating-point maps of \((x,y)\) in
- \(map_1\), or fixed-point maps created by using #convertMaps. The reason you might want to
- convert from floating to fixed-point representations of a map is that they can yield much faster
- (\~2x) remapping operations. In the converted case, \(map_1\) contains pairs (cvFloor(x),
- cvFloor(y)) and \(map_2\) contains indices in a table of interpolation coefficients.
- This function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image. It has the same size as map1 and the same type as src .</dd>
- <dd><code>map1</code> - The first map of either (x,y) points or just x values having the type CV_16SC2 ,
- CV_32FC1, or CV_32FC2. See #convertMaps for details on converting a floating point
- representation to fixed-point for speed.</dd>
- <dd><code>map2</code> - The second map of y values having the type CV_16UC1, CV_32FC1, or none (empty map
- if map1 is (x,y) points), respectively.</dd>
- <dd><code>interpolation</code> - Interpolation method (see #InterpolationFlags). The methods #INTER_AREA
- and #INTER_LINEAR_EXACT are not supported by this function.
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image that
- corresponds to the "outliers" in the source image are not modified by the function.
- <b>Note:</b>
- Due to current implementation limitations the size of an input and output images should be less than 32767x32767.</dd>
- </dl>
- </li>
- </ul>
- <a name="remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>remap</h4>
- <pre>public static void remap(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation,
- int borderMode)</pre>
- <div class="block">Applies a generic geometrical transformation to an image.
- The function remap transforms the source image using the specified map:
- \(\texttt{dst} (x,y) = \texttt{src} (map_x(x,y),map_y(x,y))\)
- where values of pixels with non-integer coordinates are computed using one of available
- interpolation methods. \(map_x\) and \(map_y\) can be encoded as separate floating-point maps
- in \(map_1\) and \(map_2\) respectively, or interleaved floating-point maps of \((x,y)\) in
- \(map_1\), or fixed-point maps created by using #convertMaps. The reason you might want to
- convert from floating to fixed-point representations of a map is that they can yield much faster
- (\~2x) remapping operations. In the converted case, \(map_1\) contains pairs (cvFloor(x),
- cvFloor(y)) and \(map_2\) contains indices in a table of interpolation coefficients.
- This function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image. It has the same size as map1 and the same type as src .</dd>
- <dd><code>map1</code> - The first map of either (x,y) points or just x values having the type CV_16SC2 ,
- CV_32FC1, or CV_32FC2. See #convertMaps for details on converting a floating point
- representation to fixed-point for speed.</dd>
- <dd><code>map2</code> - The second map of y values having the type CV_16UC1, CV_32FC1, or none (empty map
- if map1 is (x,y) points), respectively.</dd>
- <dd><code>interpolation</code> - Interpolation method (see #InterpolationFlags). The methods #INTER_AREA
- and #INTER_LINEAR_EXACT are not supported by this function.</dd>
- <dd><code>borderMode</code> - Pixel extrapolation method (see #BorderTypes). When
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image that
- corresponds to the "outliers" in the source image are not modified by the function.
- <b>Note:</b>
- Due to current implementation limitations the size of an input and output images should be less than 32767x32767.</dd>
- </dl>
- </li>
- </ul>
- <a name="remap-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>remap</h4>
- <pre>public static void remap(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map1,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> map2,
- int interpolation,
- int borderMode,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Applies a generic geometrical transformation to an image.
- The function remap transforms the source image using the specified map:
- \(\texttt{dst} (x,y) = \texttt{src} (map_x(x,y),map_y(x,y))\)
- where values of pixels with non-integer coordinates are computed using one of available
- interpolation methods. \(map_x\) and \(map_y\) can be encoded as separate floating-point maps
- in \(map_1\) and \(map_2\) respectively, or interleaved floating-point maps of \((x,y)\) in
- \(map_1\), or fixed-point maps created by using #convertMaps. The reason you might want to
- convert from floating to fixed-point representations of a map is that they can yield much faster
- (\~2x) remapping operations. In the converted case, \(map_1\) contains pairs (cvFloor(x),
- cvFloor(y)) and \(map_2\) contains indices in a table of interpolation coefficients.
- This function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image. It has the same size as map1 and the same type as src .</dd>
- <dd><code>map1</code> - The first map of either (x,y) points or just x values having the type CV_16SC2 ,
- CV_32FC1, or CV_32FC2. See #convertMaps for details on converting a floating point
- representation to fixed-point for speed.</dd>
- <dd><code>map2</code> - The second map of y values having the type CV_16UC1, CV_32FC1, or none (empty map
- if map1 is (x,y) points), respectively.</dd>
- <dd><code>interpolation</code> - Interpolation method (see #InterpolationFlags). The methods #INTER_AREA
- and #INTER_LINEAR_EXACT are not supported by this function.</dd>
- <dd><code>borderMode</code> - Pixel extrapolation method (see #BorderTypes). When
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image that
- corresponds to the "outliers" in the source image are not modified by the function.</dd>
- <dd><code>borderValue</code> - Value used in case of a constant border. By default, it is 0.
- <b>Note:</b>
- Due to current implementation limitations the size of an input and output images should be less than 32767x32767.</dd>
- </dl>
- </li>
- </ul>
- <a name="resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>resize</h4>
- <pre>public static void resize(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize)</pre>
- <div class="block">Resizes an image.
- The function resize resizes the image src down to or up to the specified size. Note that the
- initial dst type or size are not taken into account. Instead, the size and type are derived from
- the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>. If you want to resize src so that it fits the pre-created dst,
- you may call the function as follows:
- <code>
- // explicitly specify dsize=dst.size(); fx and fy will be computed from that.
- resize(src, dst, dst.size(), 0, 0, interpolation);
- </code>
- If you want to decimate the image by factor of 2 in each direction, you can call the function this
- way:
- <code>
- // specify fx and fy and let the function compute the destination image size.
- resize(src, dst, Size(), 0.5, 0.5, interpolation);
- </code>
- To shrink an image, it will generally look best with #INTER_AREA interpolation, whereas to
- enlarge an image, it will generally look best with #INTER_CUBIC (slow) or #INTER_LINEAR
- (faster but still looks OK).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the size dsize (when it is non-zero) or the size computed from
- src.size(), fx, and fy; the type of dst is the same as of src.</dd>
- <dd><code>dsize</code> - output image size; if it equals zero (<code>None</code> in Python), it is computed as:
- \(\texttt{dsize = Size(round(fx*src.cols), round(fy*src.rows))}\)
- Either dsize or both fx and fy must be non-zero.
- \(\texttt{(double)dsize.width/src.cols}\)
- \(\texttt{(double)dsize.height/src.rows}\)
- SEE: warpAffine, warpPerspective, remap</dd>
- </dl>
- </li>
- </ul>
- <a name="resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>resize</h4>
- <pre>public static void resize(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx)</pre>
- <div class="block">Resizes an image.
- The function resize resizes the image src down to or up to the specified size. Note that the
- initial dst type or size are not taken into account. Instead, the size and type are derived from
- the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>. If you want to resize src so that it fits the pre-created dst,
- you may call the function as follows:
- <code>
- // explicitly specify dsize=dst.size(); fx and fy will be computed from that.
- resize(src, dst, dst.size(), 0, 0, interpolation);
- </code>
- If you want to decimate the image by factor of 2 in each direction, you can call the function this
- way:
- <code>
- // specify fx and fy and let the function compute the destination image size.
- resize(src, dst, Size(), 0.5, 0.5, interpolation);
- </code>
- To shrink an image, it will generally look best with #INTER_AREA interpolation, whereas to
- enlarge an image, it will generally look best with #INTER_CUBIC (slow) or #INTER_LINEAR
- (faster but still looks OK).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the size dsize (when it is non-zero) or the size computed from
- src.size(), fx, and fy; the type of dst is the same as of src.</dd>
- <dd><code>dsize</code> - output image size; if it equals zero (<code>None</code> in Python), it is computed as:
- \(\texttt{dsize = Size(round(fx*src.cols), round(fy*src.rows))}\)
- Either dsize or both fx and fy must be non-zero.</dd>
- <dd><code>fx</code> - scale factor along the horizontal axis; when it equals 0, it is computed as
- \(\texttt{(double)dsize.width/src.cols}\)
- \(\texttt{(double)dsize.height/src.rows}\)
- SEE: warpAffine, warpPerspective, remap</dd>
- </dl>
- </li>
- </ul>
- <a name="resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>resize</h4>
- <pre>public static void resize(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx,
- double fy)</pre>
- <div class="block">Resizes an image.
- The function resize resizes the image src down to or up to the specified size. Note that the
- initial dst type or size are not taken into account. Instead, the size and type are derived from
- the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>. If you want to resize src so that it fits the pre-created dst,
- you may call the function as follows:
- <code>
- // explicitly specify dsize=dst.size(); fx and fy will be computed from that.
- resize(src, dst, dst.size(), 0, 0, interpolation);
- </code>
- If you want to decimate the image by factor of 2 in each direction, you can call the function this
- way:
- <code>
- // specify fx and fy and let the function compute the destination image size.
- resize(src, dst, Size(), 0.5, 0.5, interpolation);
- </code>
- To shrink an image, it will generally look best with #INTER_AREA interpolation, whereas to
- enlarge an image, it will generally look best with #INTER_CUBIC (slow) or #INTER_LINEAR
- (faster but still looks OK).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the size dsize (when it is non-zero) or the size computed from
- src.size(), fx, and fy; the type of dst is the same as of src.</dd>
- <dd><code>dsize</code> - output image size; if it equals zero (<code>None</code> in Python), it is computed as:
- \(\texttt{dsize = Size(round(fx*src.cols), round(fy*src.rows))}\)
- Either dsize or both fx and fy must be non-zero.</dd>
- <dd><code>fx</code> - scale factor along the horizontal axis; when it equals 0, it is computed as
- \(\texttt{(double)dsize.width/src.cols}\)</dd>
- <dd><code>fy</code> - scale factor along the vertical axis; when it equals 0, it is computed as
- \(\texttt{(double)dsize.height/src.rows}\)
- SEE: warpAffine, warpPerspective, remap</dd>
- </dl>
- </li>
- </ul>
- <a name="resize-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>resize</h4>
- <pre>public static void resize(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- double fx,
- double fy,
- int interpolation)</pre>
- <div class="block">Resizes an image.
- The function resize resizes the image src down to or up to the specified size. Note that the
- initial dst type or size are not taken into account. Instead, the size and type are derived from
- the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>. If you want to resize src so that it fits the pre-created dst,
- you may call the function as follows:
- <code>
- // explicitly specify dsize=dst.size(); fx and fy will be computed from that.
- resize(src, dst, dst.size(), 0, 0, interpolation);
- </code>
- If you want to decimate the image by factor of 2 in each direction, you can call the function this
- way:
- <code>
- // specify fx and fy and let the function compute the destination image size.
- resize(src, dst, Size(), 0.5, 0.5, interpolation);
- </code>
- To shrink an image, it will generally look best with #INTER_AREA interpolation, whereas to
- enlarge an image, it will generally look best with #INTER_CUBIC (slow) or #INTER_LINEAR
- (faster but still looks OK).</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image; it has the size dsize (when it is non-zero) or the size computed from
- src.size(), fx, and fy; the type of dst is the same as of src.</dd>
- <dd><code>dsize</code> - output image size; if it equals zero (<code>None</code> in Python), it is computed as:
- \(\texttt{dsize = Size(round(fx*src.cols), round(fy*src.rows))}\)
- Either dsize or both fx and fy must be non-zero.</dd>
- <dd><code>fx</code> - scale factor along the horizontal axis; when it equals 0, it is computed as
- \(\texttt{(double)dsize.width/src.cols}\)</dd>
- <dd><code>fy</code> - scale factor along the vertical axis; when it equals 0, it is computed as
- \(\texttt{(double)dsize.height/src.rows}\)</dd>
- <dd><code>interpolation</code> - interpolation method, see #InterpolationFlags
- SEE: warpAffine, warpPerspective, remap</dd>
- </dl>
- </li>
- </ul>
- <a name="rotatedRectangleIntersection-org.opencv.core.RotatedRect-org.opencv.core.RotatedRect-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>rotatedRectangleIntersection</h4>
- <pre>public static int rotatedRectangleIntersection(<a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> rect1,
- <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a> rect2,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> intersectingRegion)</pre>
- <div class="block">Finds out if there is any intersection between two rotated rectangles.
- If there is then the vertices of the intersecting region are returned as well.
- Below are some examples of intersection configurations. The hatched pattern indicates the
- intersecting region and the red vertices are returned by the function.
- </div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>rect1</code> - First rectangle</dd>
- <dd><code>rect2</code> - Second rectangle</dd>
- <dd><code>intersectingRegion</code> - The output array of the vertices of the intersecting region. It returns
- at most 8 vertices. Stored as std::vector<cv::Point2f> or cv::Mat as Mx1 of type CV_32FC2.</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>One of #RectanglesIntersectTypes</dd>
- </dl>
- </li>
- </ul>
- <a name="Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>Scharr</h4>
- <pre>public static void Scharr(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy)</pre>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.
- The function computes the first x- or y- spatial image derivative using the Scharr operator. The
- call
- \(\texttt{Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)}\)
- is equivalent to
- \(\texttt{Sobel(src, dst, ddepth, dx, dy, FILTER_SCHARR, scale, delta, borderType)} .\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.
- applied (see #getDerivKernels for details).
- SEE: cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Scharr</h4>
- <pre>public static void Scharr(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale)</pre>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.
- The function computes the first x- or y- spatial image derivative using the Scharr operator. The
- call
- \(\texttt{Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)}\)
- is equivalent to
- \(\texttt{Sobel(src, dst, ddepth, dx, dy, FILTER_SCHARR, scale, delta, borderType)} .\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).
- SEE: cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Scharr</h4>
- <pre>public static void Scharr(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale,
- double delta)</pre>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.
- The function computes the first x- or y- spatial image derivative using the Scharr operator. The
- call
- \(\texttt{Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)}\)
- is equivalent to
- \(\texttt{Sobel(src, dst, ddepth, dx, dy, FILTER_SCHARR, scale, delta, borderType)} .\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).</dd>
- <dd><code>delta</code> - optional delta value that is added to the results prior to storing them in dst.
- SEE: cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Scharr-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Scharr</h4>
- <pre>public static void Scharr(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- double scale,
- double delta,
- int borderType)</pre>
- <div class="block">Calculates the first x- or y- image derivative using Scharr operator.
- The function computes the first x- or y- spatial image derivative using the Scharr operator. The
- call
- \(\texttt{Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)}\)
- is equivalent to
- \(\texttt{Sobel(src, dst, ddepth, dx, dy, FILTER_SCHARR, scale, delta, borderType)} .\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src.</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).</dd>
- <dd><code>delta</code> - optional delta value that is added to the results prior to storing them in dst.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
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- <li class="blockList">
- <h4>sepFilter2D</h4>
- <pre>public static void sepFilter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY)</pre>
- <div class="block">Applies a separable linear filter to an image.
- The function applies a separable linear filter to the image. That is, first, every row of src is
- filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D
- kernel kernelY. The final result shifted by delta is stored in dst .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Destination image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>kernelX</code> - Coefficients for filtering each row.</dd>
- <dd><code>kernelY</code> - Coefficients for filtering each column.
- is at the kernel center.
- SEE: filter2D, Sobel, GaussianBlur, boxFilter, blur</dd>
- </dl>
- </li>
- </ul>
- <a name="sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sepFilter2D</h4>
- <pre>public static void sepFilter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Applies a separable linear filter to an image.
- The function applies a separable linear filter to the image. That is, first, every row of src is
- filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D
- kernel kernelY. The final result shifted by delta is stored in dst .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Destination image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>kernelX</code> - Coefficients for filtering each row.</dd>
- <dd><code>kernelY</code> - Coefficients for filtering each column.</dd>
- <dd><code>anchor</code> - Anchor position within the kernel. The default value \((-1,-1)\) means that the anchor
- is at the kernel center.
- SEE: filter2D, Sobel, GaussianBlur, boxFilter, blur</dd>
- </dl>
- </li>
- </ul>
- <a name="sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sepFilter2D</h4>
- <pre>public static void sepFilter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta)</pre>
- <div class="block">Applies a separable linear filter to an image.
- The function applies a separable linear filter to the image. That is, first, every row of src is
- filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D
- kernel kernelY. The final result shifted by delta is stored in dst .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Destination image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>kernelX</code> - Coefficients for filtering each row.</dd>
- <dd><code>kernelY</code> - Coefficients for filtering each column.</dd>
- <dd><code>anchor</code> - Anchor position within the kernel. The default value \((-1,-1)\) means that the anchor
- is at the kernel center.</dd>
- <dd><code>delta</code> - Value added to the filtered results before storing them.
- SEE: filter2D, Sobel, GaussianBlur, boxFilter, blur</dd>
- </dl>
- </li>
- </ul>
- <a name="sepFilter2D-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sepFilter2D</h4>
- <pre>public static void sepFilter2D(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelX,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> kernelY,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- double delta,
- int borderType)</pre>
- <div class="block">Applies a separable linear filter to an image.
- The function applies a separable linear filter to the image. That is, first, every row of src is
- filtered with the 1D kernel kernelX. Then, every column of the result is filtered with the 1D
- kernel kernelY. The final result shifted by delta is stored in dst .</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - Destination image depth, see REF: filter_depths "combinations"</dd>
- <dd><code>kernelX</code> - Coefficients for filtering each row.</dd>
- <dd><code>kernelY</code> - Coefficients for filtering each column.</dd>
- <dd><code>anchor</code> - Anchor position within the kernel. The default value \((-1,-1)\) means that the anchor
- is at the kernel center.</dd>
- <dd><code>delta</code> - Value added to the filtered results before storing them.</dd>
- <dd><code>borderType</code> - Pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: filter2D, Sobel, GaussianBlur, boxFilter, blur</dd>
- </dl>
- </li>
- </ul>
- <a name="Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Sobel</h4>
- <pre>public static void Sobel(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy)</pre>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
- In all cases except one, the \(\texttt{ksize} \times \texttt{ksize}\) separable kernel is used to
- calculate the derivative. When \(\texttt{ksize = 1}\), the \(3 \times 1\) or \(1 \times 3\)
- kernel is used (that is, no Gaussian smoothing is done). <code>ksize = 1</code> can only be used for the first
- or the second x- or y- derivatives.
- There is also the special value <code>ksize = #FILTER_SCHARR (-1)</code> that corresponds to the \(3\times3\) Scharr
- filter that may give more accurate results than the \(3\times3\) Sobel. The Scharr aperture is
- \(\vecthreethree{-3}{0}{3}{-10}{0}{10}{-3}{0}{3}\)
- for the x-derivative, or transposed for the y-derivative.
- The function calculates an image derivative by convolving the image with the appropriate kernel:
- \(\texttt{dst} = \frac{\partial^{xorder+yorder} \texttt{src}}{\partial x^{xorder} \partial y^{yorder}}\)
- The Sobel operators combine Gaussian smoothing and differentiation, so the result is more or less
- resistant to the noise. Most often, the function is called with ( xorder = 1, yorder = 0, ksize = 3)
- or ( xorder = 0, yorder = 1, ksize = 3) to calculate the first x- or y- image derivative. The first
- case corresponds to a kernel of:
- \(\vecthreethree{-1}{0}{1}{-2}{0}{2}{-1}{0}{1}\)
- The second case corresponds to a kernel of:
- \(\vecthreethree{-1}{-2}{-1}{0}{0}{0}{1}{2}{1}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"; in the case of
- 8-bit input images it will result in truncated derivatives.</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.
- applied (see #getDerivKernels for details).
- SEE: Scharr, Laplacian, sepFilter2D, filter2D, GaussianBlur, cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Sobel</h4>
- <pre>public static void Sobel(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize)</pre>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
- In all cases except one, the \(\texttt{ksize} \times \texttt{ksize}\) separable kernel is used to
- calculate the derivative. When \(\texttt{ksize = 1}\), the \(3 \times 1\) or \(1 \times 3\)
- kernel is used (that is, no Gaussian smoothing is done). <code>ksize = 1</code> can only be used for the first
- or the second x- or y- derivatives.
- There is also the special value <code>ksize = #FILTER_SCHARR (-1)</code> that corresponds to the \(3\times3\) Scharr
- filter that may give more accurate results than the \(3\times3\) Sobel. The Scharr aperture is
- \(\vecthreethree{-3}{0}{3}{-10}{0}{10}{-3}{0}{3}\)
- for the x-derivative, or transposed for the y-derivative.
- The function calculates an image derivative by convolving the image with the appropriate kernel:
- \(\texttt{dst} = \frac{\partial^{xorder+yorder} \texttt{src}}{\partial x^{xorder} \partial y^{yorder}}\)
- The Sobel operators combine Gaussian smoothing and differentiation, so the result is more or less
- resistant to the noise. Most often, the function is called with ( xorder = 1, yorder = 0, ksize = 3)
- or ( xorder = 0, yorder = 1, ksize = 3) to calculate the first x- or y- image derivative. The first
- case corresponds to a kernel of:
- \(\vecthreethree{-1}{0}{1}{-2}{0}{2}{-1}{0}{1}\)
- The second case corresponds to a kernel of:
- \(\vecthreethree{-1}{-2}{-1}{0}{0}{0}{1}{2}{1}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"; in the case of
- 8-bit input images it will result in truncated derivatives.</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>ksize</code> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.
- applied (see #getDerivKernels for details).
- SEE: Scharr, Laplacian, sepFilter2D, filter2D, GaussianBlur, cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Sobel</h4>
- <pre>public static void Sobel(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale)</pre>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
- In all cases except one, the \(\texttt{ksize} \times \texttt{ksize}\) separable kernel is used to
- calculate the derivative. When \(\texttt{ksize = 1}\), the \(3 \times 1\) or \(1 \times 3\)
- kernel is used (that is, no Gaussian smoothing is done). <code>ksize = 1</code> can only be used for the first
- or the second x- or y- derivatives.
- There is also the special value <code>ksize = #FILTER_SCHARR (-1)</code> that corresponds to the \(3\times3\) Scharr
- filter that may give more accurate results than the \(3\times3\) Sobel. The Scharr aperture is
- \(\vecthreethree{-3}{0}{3}{-10}{0}{10}{-3}{0}{3}\)
- for the x-derivative, or transposed for the y-derivative.
- The function calculates an image derivative by convolving the image with the appropriate kernel:
- \(\texttt{dst} = \frac{\partial^{xorder+yorder} \texttt{src}}{\partial x^{xorder} \partial y^{yorder}}\)
- The Sobel operators combine Gaussian smoothing and differentiation, so the result is more or less
- resistant to the noise. Most often, the function is called with ( xorder = 1, yorder = 0, ksize = 3)
- or ( xorder = 0, yorder = 1, ksize = 3) to calculate the first x- or y- image derivative. The first
- case corresponds to a kernel of:
- \(\vecthreethree{-1}{0}{1}{-2}{0}{2}{-1}{0}{1}\)
- The second case corresponds to a kernel of:
- \(\vecthreethree{-1}{-2}{-1}{0}{0}{0}{1}{2}{1}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"; in the case of
- 8-bit input images it will result in truncated derivatives.</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>ksize</code> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).
- SEE: Scharr, Laplacian, sepFilter2D, filter2D, GaussianBlur, cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-double-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Sobel</h4>
- <pre>public static void Sobel(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale,
- double delta)</pre>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
- In all cases except one, the \(\texttt{ksize} \times \texttt{ksize}\) separable kernel is used to
- calculate the derivative. When \(\texttt{ksize = 1}\), the \(3 \times 1\) or \(1 \times 3\)
- kernel is used (that is, no Gaussian smoothing is done). <code>ksize = 1</code> can only be used for the first
- or the second x- or y- derivatives.
- There is also the special value <code>ksize = #FILTER_SCHARR (-1)</code> that corresponds to the \(3\times3\) Scharr
- filter that may give more accurate results than the \(3\times3\) Sobel. The Scharr aperture is
- \(\vecthreethree{-3}{0}{3}{-10}{0}{10}{-3}{0}{3}\)
- for the x-derivative, or transposed for the y-derivative.
- The function calculates an image derivative by convolving the image with the appropriate kernel:
- \(\texttt{dst} = \frac{\partial^{xorder+yorder} \texttt{src}}{\partial x^{xorder} \partial y^{yorder}}\)
- The Sobel operators combine Gaussian smoothing and differentiation, so the result is more or less
- resistant to the noise. Most often, the function is called with ( xorder = 1, yorder = 0, ksize = 3)
- or ( xorder = 0, yorder = 1, ksize = 3) to calculate the first x- or y- image derivative. The first
- case corresponds to a kernel of:
- \(\vecthreethree{-1}{0}{1}{-2}{0}{2}{-1}{0}{1}\)
- The second case corresponds to a kernel of:
- \(\vecthreethree{-1}{-2}{-1}{0}{0}{0}{1}{2}{1}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"; in the case of
- 8-bit input images it will result in truncated derivatives.</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>ksize</code> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).</dd>
- <dd><code>delta</code> - optional delta value that is added to the results prior to storing them in dst.
- SEE: Scharr, Laplacian, sepFilter2D, filter2D, GaussianBlur, cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="Sobel-org.opencv.core.Mat-org.opencv.core.Mat-int-int-int-int-double-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>Sobel</h4>
- <pre>public static void Sobel(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- int dx,
- int dy,
- int ksize,
- double scale,
- double delta,
- int borderType)</pre>
- <div class="block">Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
- In all cases except one, the \(\texttt{ksize} \times \texttt{ksize}\) separable kernel is used to
- calculate the derivative. When \(\texttt{ksize = 1}\), the \(3 \times 1\) or \(1 \times 3\)
- kernel is used (that is, no Gaussian smoothing is done). <code>ksize = 1</code> can only be used for the first
- or the second x- or y- derivatives.
- There is also the special value <code>ksize = #FILTER_SCHARR (-1)</code> that corresponds to the \(3\times3\) Scharr
- filter that may give more accurate results than the \(3\times3\) Sobel. The Scharr aperture is
- \(\vecthreethree{-3}{0}{3}{-10}{0}{10}{-3}{0}{3}\)
- for the x-derivative, or transposed for the y-derivative.
- The function calculates an image derivative by convolving the image with the appropriate kernel:
- \(\texttt{dst} = \frac{\partial^{xorder+yorder} \texttt{src}}{\partial x^{xorder} \partial y^{yorder}}\)
- The Sobel operators combine Gaussian smoothing and differentiation, so the result is more or less
- resistant to the noise. Most often, the function is called with ( xorder = 1, yorder = 0, ksize = 3)
- or ( xorder = 0, yorder = 1, ksize = 3) to calculate the first x- or y- image derivative. The first
- case corresponds to a kernel of:
- \(\vecthreethree{-1}{0}{1}{-2}{0}{2}{-1}{0}{1}\)
- The second case corresponds to a kernel of:
- \(\vecthreethree{-1}{-2}{-1}{0}{0}{0}{1}{2}{1}\)</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image of the same size and the same number of channels as src .</dd>
- <dd><code>ddepth</code> - output image depth, see REF: filter_depths "combinations"; in the case of
- 8-bit input images it will result in truncated derivatives.</dd>
- <dd><code>dx</code> - order of the derivative x.</dd>
- <dd><code>dy</code> - order of the derivative y.</dd>
- <dd><code>ksize</code> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.</dd>
- <dd><code>scale</code> - optional scale factor for the computed derivative values; by default, no scaling is
- applied (see #getDerivKernels for details).</dd>
- <dd><code>delta</code> - optional delta value that is added to the results prior to storing them in dst.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: Scharr, Laplacian, sepFilter2D, filter2D, GaussianBlur, cartToPolar</dd>
- </dl>
- </li>
- </ul>
- <a name="spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>spatialGradient</h4>
- <pre>public static void spatialGradient(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy)</pre>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dx</code> - output image with first-order derivative in x.</dd>
- <dd><code>dy</code> - output image with first-order derivative in y.
- Only #BORDER_DEFAULT=#BORDER_REFLECT_101 and #BORDER_REPLICATE are supported.
- SEE: Sobel</dd>
- </dl>
- </li>
- </ul>
- <a name="spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>spatialGradient</h4>
- <pre>public static void spatialGradient(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- int ksize)</pre>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dx</code> - output image with first-order derivative in x.</dd>
- <dd><code>dy</code> - output image with first-order derivative in y.</dd>
- <dd><code>ksize</code> - size of Sobel kernel. It must be 3.
- Only #BORDER_DEFAULT=#BORDER_REFLECT_101 and #BORDER_REPLICATE are supported.
- SEE: Sobel</dd>
- </dl>
- </li>
- </ul>
- <a name="spatialGradient-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>spatialGradient</h4>
- <pre>public static void spatialGradient(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dx,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dy,
- int ksize,
- int borderType)</pre>
- <div class="block">Calculates the first order image derivative in both x and y using a Sobel operator
- Equivalent to calling:
- <code>
- Sobel( src, dx, CV_16SC1, 1, 0, 3 );
- Sobel( src, dy, CV_16SC1, 0, 1, 3 );
- </code></div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dx</code> - output image with first-order derivative in x.</dd>
- <dd><code>dy</code> - output image with first-order derivative in y.</dd>
- <dd><code>ksize</code> - size of Sobel kernel. It must be 3.</dd>
- <dd><code>borderType</code> - pixel extrapolation method, see #BorderTypes.
- Only #BORDER_DEFAULT=#BORDER_REFLECT_101 and #BORDER_REPLICATE are supported.
- SEE: Sobel</dd>
- </dl>
- </li>
- </ul>
- <a name="sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sqrBoxFilter</h4>
- <pre>public static void sqrBoxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</pre>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.
- For every pixel \( (x, y) \) in the source image, the function calculates the sum of squares of those neighboring
- pixel values which overlap the filter placed over the pixel \( (x, y) \).
- The unnormalized square box filter can be useful in computing local image statistics such as the local
- variance and standard deviation around the neighborhood of a pixel.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image</dd>
- <dd><code>dst</code> - output image of the same size and type as src</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth())</dd>
- <dd><code>ksize</code> - kernel size
- center.
- SEE: boxFilter</dd>
- </dl>
- </li>
- </ul>
- <a name="sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sqrBoxFilter</h4>
- <pre>public static void sqrBoxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor)</pre>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.
- For every pixel \( (x, y) \) in the source image, the function calculates the sum of squares of those neighboring
- pixel values which overlap the filter placed over the pixel \( (x, y) \).
- The unnormalized square box filter can be useful in computing local image statistics such as the local
- variance and standard deviation around the neighborhood of a pixel.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image</dd>
- <dd><code>dst</code> - output image of the same size and type as src</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth())</dd>
- <dd><code>ksize</code> - kernel size</dd>
- <dd><code>anchor</code> - kernel anchor point. The default value of Point(-1, -1) denotes that the anchor is at the kernel
- center.
- SEE: boxFilter</dd>
- </dl>
- </li>
- </ul>
- <a name="sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>sqrBoxFilter</h4>
- <pre>public static void sqrBoxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize)</pre>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.
- For every pixel \( (x, y) \) in the source image, the function calculates the sum of squares of those neighboring
- pixel values which overlap the filter placed over the pixel \( (x, y) \).
- The unnormalized square box filter can be useful in computing local image statistics such as the local
- variance and standard deviation around the neighborhood of a pixel.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image</dd>
- <dd><code>dst</code> - output image of the same size and type as src</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth())</dd>
- <dd><code>ksize</code> - kernel size</dd>
- <dd><code>anchor</code> - kernel anchor point. The default value of Point(-1, -1) denotes that the anchor is at the kernel
- center.</dd>
- <dd><code>normalize</code> - flag, specifying whether the kernel is to be normalized by it's area or not.
- SEE: boxFilter</dd>
- </dl>
- </li>
- </ul>
- <a name="sqrBoxFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.Size-org.opencv.core.Point-boolean-int-">
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- </a>
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- <li class="blockList">
- <h4>sqrBoxFilter</h4>
- <pre>public static void sqrBoxFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- int ddepth,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> anchor,
- boolean normalize,
- int borderType)</pre>
- <div class="block">Calculates the normalized sum of squares of the pixel values overlapping the filter.
- For every pixel \( (x, y) \) in the source image, the function calculates the sum of squares of those neighboring
- pixel values which overlap the filter placed over the pixel \( (x, y) \).
- The unnormalized square box filter can be useful in computing local image statistics such as the local
- variance and standard deviation around the neighborhood of a pixel.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image</dd>
- <dd><code>dst</code> - output image of the same size and type as src</dd>
- <dd><code>ddepth</code> - the output image depth (-1 to use src.depth())</dd>
- <dd><code>ksize</code> - kernel size</dd>
- <dd><code>anchor</code> - kernel anchor point. The default value of Point(-1, -1) denotes that the anchor is at the kernel
- center.</dd>
- <dd><code>normalize</code> - flag, specifying whether the kernel is to be normalized by it's area or not.</dd>
- <dd><code>borderType</code> - border mode used to extrapolate pixels outside of the image, see #BorderTypes. #BORDER_WRAP is not supported.
- SEE: boxFilter</dd>
- </dl>
- </li>
- </ul>
- <a name="stackBlur-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
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- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>stackBlur</h4>
- <pre>public static void stackBlur(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> ksize)</pre>
- <div class="block">Blurs an image using the stackBlur.
- The function applies and stackBlur to an image.
- stackBlur can generate similar results as Gaussian blur, and the time consumption does not increase with the increase of kernel size.
- It creates a kind of moving stack of colors whilst scanning through the image. Thereby it just has to add one new block of color to the right side
- of the stack and remove the leftmost color. The remaining colors on the topmost layer of the stack are either added on or reduced by one,
- depending on if they are on the right or on the left side of the stack. The only supported borderType is BORDER_REPLICATE.
- Original paper was proposed by Mario Klingemann, which can be found http://underdestruction.com/2004/02/25/stackblur-2004.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image. The number of channels can be arbitrary, but the depth should be one of
- CV_8U, CV_16U, CV_16S or CV_32F.</dd>
- <dd><code>dst</code> - output image of the same size and type as src.</dd>
- <dd><code>ksize</code> - stack-blurring kernel size. The ksize.width and ksize.height can differ but they both must be
- positive and odd.</dd>
- </dl>
- </li>
- </ul>
- <a name="threshold-org.opencv.core.Mat-org.opencv.core.Mat-double-double-int-">
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- <h4>threshold</h4>
- <pre>public static double threshold(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- double thresh,
- double maxval,
- int type)</pre>
- <div class="block">Applies a fixed-level threshold to each array element.
- The function applies fixed-level thresholding to a multiple-channel array. The function is typically
- used to get a bi-level (binary) image out of a grayscale image ( #compare could be also used for
- this purpose) or for removing a noise, that is, filtering out pixels with too small or too large
- values. There are several types of thresholding supported by the function. They are determined by
- type parameter.
- Also, the special values #THRESH_OTSU or #THRESH_TRIANGLE may be combined with one of the
- above values. In these cases, the function determines the optimal threshold value using the Otsu's
- or Triangle algorithm and uses it instead of the specified thresh.
- <b>Note:</b> Currently, the Otsu's and Triangle methods are implemented only for 8-bit single-channel images.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input array (multiple-channel, 8-bit or 32-bit floating point).</dd>
- <dd><code>dst</code> - output array of the same size and type and the same number of channels as src.</dd>
- <dd><code>thresh</code> - threshold value.</dd>
- <dd><code>maxval</code> - maximum value to use with the #THRESH_BINARY and #THRESH_BINARY_INV thresholding
- types.</dd>
- <dd><code>type</code> - thresholding type (see #ThresholdTypes).</dd>
- <dt><span class="returnLabel">Returns:</span></dt>
- <dd>the computed threshold value if Otsu's or Triangle methods used.
- SEE: adaptiveThreshold, findContours, compare, min, max</dd>
- </dl>
- </li>
- </ul>
- <a name="warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
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- </a>
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- <h4>warpAffine</h4>
- <pre>public static void warpAffine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize)</pre>
- <div class="block">Applies an affine transformation to an image.
- The function warpAffine transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} ( \texttt{M} _{11} x + \texttt{M} _{12} y + \texttt{M} _{13}, \texttt{M} _{21} x + \texttt{M} _{22} y + \texttt{M} _{23})\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted
- with #invertAffineTransform and then put in the formula above instead of M. The function cannot
- operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(2\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.
- flag #WARP_INVERSE_MAP that means that M is the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image corresponding to
- the "outliers" in the source image are not modified by the function.
- SEE: warpPerspective, resize, remap, getRectSubPix, transform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">
- <!-- -->
- </a>
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- <h4>warpAffine</h4>
- <pre>public static void warpAffine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags)</pre>
- <div class="block">Applies an affine transformation to an image.
- The function warpAffine transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} ( \texttt{M} _{11} x + \texttt{M} _{12} y + \texttt{M} _{13}, \texttt{M} _{21} x + \texttt{M} _{22} y + \texttt{M} _{23})\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted
- with #invertAffineTransform and then put in the formula above instead of M. The function cannot
- operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(2\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (see #InterpolationFlags) and the optional
- flag #WARP_INVERSE_MAP that means that M is the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image corresponding to
- the "outliers" in the source image are not modified by the function.
- SEE: warpPerspective, resize, remap, getRectSubPix, transform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>warpAffine</h4>
- <pre>public static void warpAffine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags,
- int borderMode)</pre>
- <div class="block">Applies an affine transformation to an image.
- The function warpAffine transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} ( \texttt{M} _{11} x + \texttt{M} _{12} y + \texttt{M} _{13}, \texttt{M} _{21} x + \texttt{M} _{22} y + \texttt{M} _{23})\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted
- with #invertAffineTransform and then put in the formula above instead of M. The function cannot
- operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(2\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (see #InterpolationFlags) and the optional
- flag #WARP_INVERSE_MAP that means that M is the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).</dd>
- <dd><code>borderMode</code> - pixel extrapolation method (see #BorderTypes); when
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image corresponding to
- the "outliers" in the source image are not modified by the function.
- SEE: warpPerspective, resize, remap, getRectSubPix, transform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpAffine-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-org.opencv.core.Scalar-">
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- </a>
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- <h4>warpAffine</h4>
- <pre>public static void warpAffine(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags,
- int borderMode,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Applies an affine transformation to an image.
- The function warpAffine transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} ( \texttt{M} _{11} x + \texttt{M} _{12} y + \texttt{M} _{13}, \texttt{M} _{21} x + \texttt{M} _{22} y + \texttt{M} _{23})\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted
- with #invertAffineTransform and then put in the formula above instead of M. The function cannot
- operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(2\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (see #InterpolationFlags) and the optional
- flag #WARP_INVERSE_MAP that means that M is the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).</dd>
- <dd><code>borderMode</code> - pixel extrapolation method (see #BorderTypes); when
- borderMode=#BORDER_TRANSPARENT, it means that the pixels in the destination image corresponding to
- the "outliers" in the source image are not modified by the function.</dd>
- <dd><code>borderValue</code> - value used in case of a constant border; by default, it is 0.
- SEE: warpPerspective, resize, remap, getRectSubPix, transform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpPerspective-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-">
- <!-- -->
- </a>
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- <h4>warpPerspective</h4>
- <pre>public static void warpPerspective(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize)</pre>
- <div class="block">Applies a perspective transformation to an image.
- The function warpPerspective transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} \left ( \frac{M_{11} x + M_{12} y + M_{13}}{M_{31} x + M_{32} y + M_{33}} ,
- \frac{M_{21} x + M_{22} y + M_{23}}{M_{31} x + M_{32} y + M_{33}} \right )\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with invert
- and then put in the formula above instead of M. The function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(3\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.
- optional flag #WARP_INVERSE_MAP, that sets M as the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).
- SEE: warpAffine, resize, remap, getRectSubPix, perspectiveTransform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpPerspective-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-">
- <!-- -->
- </a>
- <ul class="blockList">
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- <h4>warpPerspective</h4>
- <pre>public static void warpPerspective(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags)</pre>
- <div class="block">Applies a perspective transformation to an image.
- The function warpPerspective transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} \left ( \frac{M_{11} x + M_{12} y + M_{13}}{M_{31} x + M_{32} y + M_{33}} ,
- \frac{M_{21} x + M_{22} y + M_{23}}{M_{31} x + M_{32} y + M_{33}} \right )\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with invert
- and then put in the formula above instead of M. The function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(3\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (#INTER_LINEAR or #INTER_NEAREST) and the
- optional flag #WARP_INVERSE_MAP, that sets M as the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).
- SEE: warpAffine, resize, remap, getRectSubPix, perspectiveTransform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpPerspective-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>warpPerspective</h4>
- <pre>public static void warpPerspective(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags,
- int borderMode)</pre>
- <div class="block">Applies a perspective transformation to an image.
- The function warpPerspective transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} \left ( \frac{M_{11} x + M_{12} y + M_{13}}{M_{31} x + M_{32} y + M_{33}} ,
- \frac{M_{21} x + M_{22} y + M_{23}}{M_{31} x + M_{32} y + M_{33}} \right )\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with invert
- and then put in the formula above instead of M. The function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(3\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (#INTER_LINEAR or #INTER_NEAREST) and the
- optional flag #WARP_INVERSE_MAP, that sets M as the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).</dd>
- <dd><code>borderMode</code> - pixel extrapolation method (#BORDER_CONSTANT or #BORDER_REPLICATE).
- SEE: warpAffine, resize, remap, getRectSubPix, perspectiveTransform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpPerspective-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-int-int-org.opencv.core.Scalar-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>warpPerspective</h4>
- <pre>public static void warpPerspective(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> M,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- int flags,
- int borderMode,
- <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> borderValue)</pre>
- <div class="block">Applies a perspective transformation to an image.
- The function warpPerspective transforms the source image using the specified matrix:
- \(\texttt{dst} (x,y) = \texttt{src} \left ( \frac{M_{11} x + M_{12} y + M_{13}}{M_{31} x + M_{32} y + M_{33}} ,
- \frac{M_{21} x + M_{22} y + M_{23}}{M_{31} x + M_{32} y + M_{33}} \right )\)
- when the flag #WARP_INVERSE_MAP is set. Otherwise, the transformation is first inverted with invert
- and then put in the formula above instead of M. The function cannot operate in-place.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - input image.</dd>
- <dd><code>dst</code> - output image that has the size dsize and the same type as src .</dd>
- <dd><code>M</code> - \(3\times 3\) transformation matrix.</dd>
- <dd><code>dsize</code> - size of the output image.</dd>
- <dd><code>flags</code> - combination of interpolation methods (#INTER_LINEAR or #INTER_NEAREST) and the
- optional flag #WARP_INVERSE_MAP, that sets M as the inverse transformation (
- \(\texttt{dst}\rightarrow\texttt{src}\) ).</dd>
- <dd><code>borderMode</code> - pixel extrapolation method (#BORDER_CONSTANT or #BORDER_REPLICATE).</dd>
- <dd><code>borderValue</code> - value used in case of a constant border; by default, it equals 0.
- SEE: warpAffine, resize, remap, getRectSubPix, perspectiveTransform</dd>
- </dl>
- </li>
- </ul>
- <a name="warpPolar-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Size-org.opencv.core.Point-double-int-">
- <!-- -->
- </a>
- <ul class="blockList">
- <li class="blockList">
- <h4>warpPolar</h4>
- <pre>public static void warpPolar(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
- <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> dsize,
- <a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> center,
- double maxRadius,
- int flags)</pre>
- <div class="block">Remaps an image to polar or semilog-polar coordinates space
- polar_remaps_reference_image
- 
- Transform the source image using the following transformation:
- \(
- dst(\rho , \phi ) = src(x,y)
- \)
- where
- \(
- \begin{array}{l}
- \vec{I} = (x - center.x, \;y - center.y) \\
- \phi = Kangle \cdot \texttt{angle} (\vec{I}) \\
- \rho = \left\{\begin{matrix}
- Klin \cdot \texttt{magnitude} (\vec{I}) & default \\
- Klog \cdot log_e(\texttt{magnitude} (\vec{I})) & if \; semilog \\
- \end{matrix}\right.
- \end{array}
- \)
- and
- \(
- \begin{array}{l}
- Kangle = dsize.height / 2\Pi \\
- Klin = dsize.width / maxRadius \\
- Klog = dsize.width / log_e(maxRadius) \\
- \end{array}
- \)
- \par Linear vs semilog mapping
- Polar mapping can be linear or semi-log. Add one of #WarpPolarMode to <code>flags</code> to specify the polar mapping mode.
- Linear is the default mode.
- The semilog mapping emulates the human "foveal" vision that permit very high acuity on the line of sight (central vision)
- in contrast to peripheral vision where acuity is minor.
- \par Option on <code>dsize</code>:
- <ul>
- <li>
- if both values in <code>dsize &lt;=0 </code> (default),
- the destination image will have (almost) same area of source bounding circle:
- \(\begin{array}{l}
- dsize.area \leftarrow (maxRadius^2 \cdot \Pi) \\
- dsize.width = \texttt{cvRound}(maxRadius) \\
- dsize.height = \texttt{cvRound}(maxRadius \cdot \Pi) \\
- \end{array}\)
- </li>
- </ul>
- <ul>
- <li>
- if only <code>dsize.height &lt;= 0</code>,
- the destination image area will be proportional to the bounding circle area but scaled by <code>Kx * Kx</code>:
- \(\begin{array}{l}
- dsize.height = \texttt{cvRound}(dsize.width \cdot \Pi) \\
- \end{array}
- \)
- </li>
- </ul>
- <ul>
- <li>
- if both values in <code>dsize &gt; 0 </code>,
- the destination image will have the given size therefore the area of the bounding circle will be scaled to <code>dsize</code>.
- </li>
- </ul>
- \par Reverse mapping
- You can get reverse mapping adding #WARP_INVERSE_MAP to <code>flags</code>
- \snippet polar_transforms.cpp InverseMap
- In addiction, to calculate the original coordinate from a polar mapped coordinate \((rho, phi)->(x, y)\):
- \snippet polar_transforms.cpp InverseCoordinate</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>src</code> - Source image.</dd>
- <dd><code>dst</code> - Destination image. It will have same type as src.</dd>
- <dd><code>dsize</code> - The destination image size (see description for valid options).</dd>
- <dd><code>center</code> - The transformation center.</dd>
- <dd><code>maxRadius</code> - The radius of the bounding circle to transform. It determines the inverse magnitude scale parameter too.</dd>
- <dd><code>flags</code> - A combination of interpolation methods, #InterpolationFlags + #WarpPolarMode.
- <ul>
- <li>
- Add #WARP_POLAR_LINEAR to select linear polar mapping (default)
- </li>
- <li>
- Add #WARP_POLAR_LOG to select semilog polar mapping
- </li>
- <li>
- Add #WARP_INVERSE_MAP for reverse mapping.
- </li>
- </ul>
- <b>Note:</b>
- <ul>
- <li>
- The function can not operate in-place.
- </li>
- <li>
- To calculate magnitude and angle in degrees #cartToPolar is used internally thus angles are measured from 0 to 360 with accuracy about 0.3 degrees.
- </li>
- <li>
- This function uses #remap. Due to current implementation limitations the size of an input and output images should be less than 32767x32767.
- </li>
- </ul>
- SEE: cv::remap</dd>
- </dl>
- </li>
- </ul>
- <a name="watershed-org.opencv.core.Mat-org.opencv.core.Mat-">
- <!-- -->
- </a>
- <ul class="blockListLast">
- <li class="blockList">
- <h4>watershed</h4>
- <pre>public static void watershed(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
- <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> markers)</pre>
- <div class="block">Performs a marker-based image segmentation using the watershed algorithm.
- The function implements one of the variants of watershed, non-parametric marker-based segmentation
- algorithm, described in CITE: Meyer92 .
- Before passing the image to the function, you have to roughly outline the desired regions in the
- image markers with positive (>0) indices. So, every region is represented as one or more connected
- components with the pixel values 1, 2, 3, and so on. Such markers can be retrieved from a binary
- mask using #findContours and #drawContours (see the watershed.cpp demo). The markers are "seeds" of
- the future image regions. All the other pixels in markers , whose relation to the outlined regions
- is not known and should be defined by the algorithm, should be set to 0's. In the function output,
- each pixel in markers is set to a value of the "seed" components or to -1 at boundaries between the
- regions.
- <b>Note:</b> Any two neighbor connected components are not necessarily separated by a watershed boundary
- (-1's pixels); for example, they can touch each other in the initial marker image passed to the
- function.</div>
- <dl>
- <dt><span class="paramLabel">Parameters:</span></dt>
- <dd><code>image</code> - Input 8-bit 3-channel image.</dd>
- <dd><code>markers</code> - Input/output 32-bit single-channel image (map) of markers. It should have the same
- size as image .
- SEE: findContours</dd>
- </dl>
- </li>
- </ul>
- </li>
- </ul>
- </li>
- </ul>
- </div>
- </div>
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- <p class="legalCopy"><small>Generated on 2023-06-28 12:47:21 / OpenCV 4.8.0</small></p>
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