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<h1 class="mt-5 fs-3">MagickCore, C API: Segment an Image with Thresholding Fuzzy c-Means</h1>
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<h1 class="text-center">Segment</h1>
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<h2><a href="../../api/MagickCore/segment_8c.html" id="SegmentImage">SegmentImage</a></h2>
<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="bg-light text-dark mx-4"><samp>MagickBooleanType SegmentImage(Image *image,
const ColorspaceType colorspace,const MagickBooleanType verbose,
const double cluster_threshold,const double smooth_threshold,
ExceptionInfo *exception)
</samp></pre>
<p>A description of each parameter follows.</p>
<dt>image</dt>
<p>the image.</p>
<dt>colorspace</dt>
<p>Indicate the colorspace.</p>
<dt>verbose</dt>
<p>Set to MagickTrue to print detailed information about the identified classes.</p>
<dt>cluster_threshold</dt>
<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>
<dt>smooth_threshold</dt>
<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>
<dt>exception</dt>
<p>return any errors or warnings in this structure.</p>
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