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  <title>ImageMagick: MagickCore, C API for ImageMagick: Segment an Image with Thresholding Fuzzy c-Means</title>
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<p class="navigation-index">[ <a href="#SegmentImage">SegmentImage</a> ]</p>

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  <h2><a name="SegmentImage">SegmentImage</a></h2>
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<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>

<h4>image</h4>
<p>The image.</p>

<h4>colorspace</h4>
<p>Indicate the colorspace.</p>

<h4>verbose</h4>
<p>Set to MagickTrue to print detailed information about the identified classes.</p>

<h4>cluster_threshold</h4>
<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>

<h4>smooth_threshold</h4>
<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>

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