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<div class="main">
-<h1>Module Methods</h1>
-<p class="navigation-index">[<a href="#"></a>]</p>
+<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" 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>
+
+<p>The format of the SegmentImage method is:</p>
+
+<pre class="code">
+ MagickBooleanType SegmentImage(Image *image,
+ const ColorspaceType colorspace,const MagickBooleanType verbose,
+ const double cluster_threshold,const double smooth_threshold)
+</pre>
+
+<p>A description of each parameter follows.</p>
+
+<h5>image</h5>
+<p>the image.</p>
+
+<h5>colorspace</h5>
+<p>Indicate the colorspace.</p>
+
+<h5>verbose</h5>
+<p>Set to MagickTrue to print detailed information about the identified classes.</p>
+
+<h5>cluster_threshold</h5>
+<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>
+<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>
</div>