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59<p class="text-center"><a href="segment.html#SegmentImage">SegmentImage</a></p>
60
61<h2><a href="http://www.imagemagick.org/api/MagickCore/segment_8c.html" id="SegmentImage">SegmentImage</a></h2>
62
63<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>
64
65<p>The format of the SegmentImage method is:</p>
66
67<pre class="text">
68MagickBooleanType SegmentImage(Image *image,
69  const ColorspaceType colorspace,const MagickBooleanType verbose,
70  const double cluster_threshold,const double smooth_threshold,
71  ExceptionInfo *exception)
72</pre>
73
74<p>A description of each parameter follows.</p>
75
76<dt>image</dt>
77<p>the image.</p>
78
79<dt>colorspace</dt>
80<p>Indicate the colorspace.</p>
81
82<dt>verbose</dt>
83<p>Set to MagickTrue to print detailed information about the identified classes.</p>
84
85<dt>cluster_threshold</dt>
86<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>
87
88<dt>smooth_threshold</dt>
89<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>
90
91<dt>exception</dt>
92<p>return any errors or warnings in this structure.</p>
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