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55<p class="text-center"><a href="segment.php#SegmentImage">SegmentImage</a></p>
56
57<h2><a href="http://nextgen.imagemagick.org/api/MagickCore/segment_8c.html" id="SegmentImage">SegmentImage</a></h2>
58
59<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>
60
61<p>The format of the SegmentImage method is:</p>
62
63<pre class="text">
64MagickBooleanType SegmentImage(Image *image,
65  const ColorspaceType colorspace,const MagickBooleanType verbose,
66  const double cluster_threshold,const double smooth_threshold,
67  ExceptionInfo *exception)
68</pre>
69
70<p>A description of each parameter follows.</p>
71
72<dt>image</dt>
73<p>the image.</p>
74
75<dt>colorspace</dt>
76<p>Indicate the colorspace.</p>
77
78<dt>verbose</dt>
79<p>Set to MagickTrue to print detailed information about the identified classes.</p>
80
81<dt>cluster_threshold</dt>
82<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>
83
84<dt>smooth_threshold</dt>
85<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>
86
87<dt>exception</dt>
88<p>return any errors or warnings in this structure.</p>
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