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-<h1>Module segment
- Methods</h1>
+<h1>Module segment Methods</h1>
<p class="navigation-index">[<a href="#SegmentImage">SegmentImage</a>]</p>
-<h2><a href="http://www.imagemagick.org/api/MagickCore/segment
-_8c.html" target="source" name="SegmentImage">SegmentImage</a></h2>
+<h2><a href="http://www.imagemagick.org/api/MagickCore/segment_8c.html" id="SegmentImage">SegmentImage</a></h2>
<div class="doc-section">
-<p>SegmentImage() segment an image by analyzing the histograms of the color components and identifying units that are homogeneous with the fuzzy C-means technique.</p></ol>
+<p>SegmentImage() segment an image by analyzing the histograms of the color components and identifying units that are homogeneous with the fuzzy C-means technique.</p>
<p>The format of the SegmentImage method is:</p>
const double cluster_threshold,const double smooth_threshold)
</pre>
-<p>A description of each parameter follows.</p></ol>
+<p>A description of each parameter follows.</p>
<h5>image</h5>
-<ol><p>the image.</p></ol>
+<p>the image.</p>
<h5>colorspace</h5>
-<ol><p>Indicate the colorspace.</p></ol>
+<p>Indicate the colorspace.</p>
<h5>verbose</h5>
-<ol><p>Set to MagickTrue to print detailed information about the identified classes.</p></ol>
+<p>Set to MagickTrue to print detailed information about the identified classes.</p>
<h5>cluster_threshold</h5>
-<ol><p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p></ol>
+<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>
<h5>smooth_threshold</h5>
-<ol><p>the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative.</p></ol>
+<p>the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative.</p>
</div>
\r
projects / imagemagick / blobdiff