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<div class="subTitle">org.opencv.imgproc</div>
<h2 title="Class LineSegmentDetector" class="title">Class LineSegmentDetector</h2>
</div>
<div class="contentContainer">
<ul class="inheritance">
<li>java.lang.Object</li>
<li>
<ul class="inheritance">
<li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
<li>
<ul class="inheritance">
<li>org.opencv.imgproc.LineSegmentDetector</li>
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<pre>public class <span class="typeNameLabel">LineSegmentDetector</span>
extends <a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></pre>
<div class="block">Line segment detector class

 following the algorithm described at CITE: Rafael12 .

 <b>Note:</b> Implementation has been removed from OpenCV version 3.4.6 to 3.4.15 and version 4.1.0 to 4.5.3 due original code license conflict.
 restored again after [Computation of a NFA](https://github.com/rafael-grompone-von-gioi/binomial_nfa) code published under the MIT license.</div>
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<h3>Method Summary</h3>
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</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 <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/LineSegmentDetector.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#compareSegments-org.opencv.core.Size-org.opencv.core.Mat-org.opencv.core.Mat-">compareSegments</a></span>(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
               <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines1,
               <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines2)</code>
<div class="block">Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#compareSegments-org.opencv.core.Size-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">compareSegments</a></span>(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
               <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines1,
               <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines2,
               <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</code>
<div class="block">Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#detect-org.opencv.core.Mat-org.opencv.core.Mat-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines)</code>
<div class="block">Finds lines in the input image.</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#detect-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width)</code>
<div class="block">Finds lines in the input image.</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#detect-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prec)</code>
<div class="block">Finds lines in the input image.</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#detect-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prec,
      <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nfa)</code>
<div class="block">Finds lines in the input image.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/imgproc/LineSegmentDetector.html#drawSegments-org.opencv.core.Mat-org.opencv.core.Mat-">drawSegments</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
            <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines)</code>
<div class="block">Draws the line segments on a given image.</div>
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<h3>Methods inherited from class&nbsp;org.opencv.core.<a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">Algorithm</a></h3>
<code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#empty--">empty</a>, <a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">getDefaultName</a>, <a href="../../../org/opencv/core/Algorithm.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/core/Algorithm.html#save-java.lang.String-">save</a></code></li>
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<h3>Methods inherited from class&nbsp;java.lang.Object</h3>
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/imgproc/LineSegmentDetector.html" title="class in org.opencv.imgproc">LineSegmentDetector</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
</li>
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<h4>compareSegments</h4>
<pre>public&nbsp;int&nbsp;compareSegments(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
                           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines1,
                           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines2)</pre>
<div class="block">Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>size</code> - The size of the image, where lines1 and lines2 were found.</dd>
<dd><code>lines1</code> - The first group of lines that needs to be drawn. It is visualized in blue color.</dd>
<dd><code>lines2</code> - The second group of lines. They visualized in red color.
     in order for lines1 and lines2 to be drawn in the above mentioned colors.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="compareSegments-org.opencv.core.Size-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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<h4>compareSegments</h4>
<pre>public&nbsp;int&nbsp;compareSegments(<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
                           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines1,
                           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines2,
                           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</pre>
<div class="block">Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>size</code> - The size of the image, where lines1 and lines2 were found.</dd>
<dd><code>lines1</code> - The first group of lines that needs to be drawn. It is visualized in blue color.</dd>
<dd><code>lines2</code> - The second group of lines. They visualized in red color.</dd>
<dd><code>image</code> - Optional image, where the lines will be drawn. The image should be color(3-channel)
     in order for lines1 and lines2 to be drawn in the above mentioned colors.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
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<h4>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines)</pre>
<div class="block">Finds lines in the input image.

     This is the output of the default parameters of the algorithm on the above shown image.

     ![image](pics/building_lsd.png)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>image</code> - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use:
     <code>lsd_ptr-&amp;gt;detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);</code></dd>
<dd><code>lines</code> - A vector of Vec4f elements specifying the beginning and ending point of a line. Where
     Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
     oriented depending on the gradient.
     bigger the value, logarithmically better the detection.
 <ul>
   <li>
      -1 corresponds to 10 mean false alarms
   </li>
   <li>
      0 corresponds to 1 mean false alarm
   </li>
   <li>
      1 corresponds to 0.1 mean false alarms
     This vector will be calculated only when the objects type is #LSD_REFINE_ADV.
   </li>
 </ul></dd>
</dl>
</li>
</ul>
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<h4>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width)</pre>
<div class="block">Finds lines in the input image.

     This is the output of the default parameters of the algorithm on the above shown image.

     ![image](pics/building_lsd.png)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>image</code> - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use:
     <code>lsd_ptr-&amp;gt;detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);</code></dd>
<dd><code>lines</code> - A vector of Vec4f elements specifying the beginning and ending point of a line. Where
     Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
     oriented depending on the gradient.</dd>
<dd><code>width</code> - Vector of widths of the regions, where the lines are found. E.g. Width of line.
     bigger the value, logarithmically better the detection.
 <ul>
   <li>
      -1 corresponds to 10 mean false alarms
   </li>
   <li>
      0 corresponds to 1 mean false alarm
   </li>
   <li>
      1 corresponds to 0.1 mean false alarms
     This vector will be calculated only when the objects type is #LSD_REFINE_ADV.
   </li>
 </ul></dd>
</dl>
</li>
</ul>
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<h4>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prec)</pre>
<div class="block">Finds lines in the input image.

     This is the output of the default parameters of the algorithm on the above shown image.

     ![image](pics/building_lsd.png)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>image</code> - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use:
     <code>lsd_ptr-&amp;gt;detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);</code></dd>
<dd><code>lines</code> - A vector of Vec4f elements specifying the beginning and ending point of a line. Where
     Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
     oriented depending on the gradient.</dd>
<dd><code>width</code> - Vector of widths of the regions, where the lines are found. E.g. Width of line.</dd>
<dd><code>prec</code> - Vector of precisions with which the lines are found.
     bigger the value, logarithmically better the detection.
 <ul>
   <li>
      -1 corresponds to 10 mean false alarms
   </li>
   <li>
      0 corresponds to 1 mean false alarm
   </li>
   <li>
      1 corresponds to 0.1 mean false alarms
     This vector will be calculated only when the objects type is #LSD_REFINE_ADV.
   </li>
 </ul></dd>
</dl>
</li>
</ul>
<a name="detect-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>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;width,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prec,
                   <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nfa)</pre>
<div class="block">Finds lines in the input image.

     This is the output of the default parameters of the algorithm on the above shown image.

     ![image](pics/building_lsd.png)</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>image</code> - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use:
     <code>lsd_ptr-&amp;gt;detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);</code></dd>
<dd><code>lines</code> - A vector of Vec4f elements specifying the beginning and ending point of a line. Where
     Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly
     oriented depending on the gradient.</dd>
<dd><code>width</code> - Vector of widths of the regions, where the lines are found. E.g. Width of line.</dd>
<dd><code>prec</code> - Vector of precisions with which the lines are found.</dd>
<dd><code>nfa</code> - Vector containing number of false alarms in the line region, with precision of 10%. The
     bigger the value, logarithmically better the detection.
 <ul>
   <li>
      -1 corresponds to 10 mean false alarms
   </li>
   <li>
      0 corresponds to 1 mean false alarm
   </li>
   <li>
      1 corresponds to 0.1 mean false alarms
     This vector will be calculated only when the objects type is #LSD_REFINE_ADV.
   </li>
 </ul></dd>
</dl>
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<h4>drawSegments</h4>
<pre>public&nbsp;void&nbsp;drawSegments(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;lines)</pre>
<div class="block">Draws the line segments on a given image.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>image</code> - The image, where the lines will be drawn. Should be bigger or equal to the image,
     where the lines were found.</dd>
<dd><code>lines</code> - A vector of the lines that needed to be drawn.</dd>
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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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