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 <p class="text-center"><a href="segment.html#SegmentImage">SegmentImage</a></p>

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 <h2><a href="http://www.imagemagick.org/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="text">
 MagickBooleanType SegmentImage(Image *image,
   const ColorspaceType colorspace,const MagickBooleanType verbose,
   const double cluster_threshold,const double smooth_threshold,
   ExceptionInfo *exception)
 </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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	<title>ImageMagick: MagickCore, C API for ImageMagick: Segment an Image with Thresholding Fuzzy c-Means</title>
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	<div class="container">
	<p class="text-center"><a href="segment.html#SegmentImage">SegmentImage</a></p>

	<div class="magick-header">
	<h2><a href="http://www.imagemagick.org/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="text">
	MagickBooleanType SegmentImage(Image *image,
	const ColorspaceType colorspace,const MagickBooleanType verbose,
	const double cluster_threshold,const double smooth_threshold,
	ExceptionInfo *exception)
	</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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