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      9     <title>ImageMagick: MagickCore, C API for ImageMagick: Segment an Image with Thresholding Fuzzy c-Means</title>
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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">
     64 MagickBooleanType 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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