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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>

<div style="margin: auto;">
  <h2><a href="http://www.imagemagick.org/api/MagickCore/segment
_8c.html" target="source" name="SegmentImage">SegmentImage</a></h2>
</div>

<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></ol>

<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></ol>

<h5>image</h5>
<ol><p>the image.</p></ol>

<h5>colorspace</h5>
<ol><p>Indicate the colorspace.</p></ol>

<h5>verbose</h5>
<ol><p>Set to MagickTrue to print detailed information about the identified classes.</p></ol>

<h5>cluster_threshold</h5>
<ol><p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p></ol>

<h5>smooth_threshold</h5>
<ol><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></ol>

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