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<title>segment - Segment an Image with Thresholding Fuzzy c-Means</title>
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<!-- INDEX BEGIN -->
<ul>
<li><a href="#name">NAME</a></li>
<li><a href="#synopsis">SYNOPSIS</a></li>
<li><a href="#function_descriptions">FUNCTION DESCRIPTIONS</a></li>
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<li><a href="#segmentimage">SegmentImage</a></li>
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<h1><a name="name">NAME</a></h1>
<P>segment - Segment an Image with Thresholding Fuzzy c-Means</P>
<P>
</P>
<hr />
<h1><a name="synopsis">SYNOPSIS</a></h1>
<P>MagickBooleanType <strong>SegmentImage</strong>( Image *image, const ColorspaceType colorspace, const MagickBooleanType verbose, const double cluster_threshold, const double smooth_threshold );</P>
<P>
</P>
<hr />
<h1><a name="function_descriptions">FUNCTION DESCRIPTIONS</a></h1>
<P>
</P>
<h2><a name="segmentimage">SegmentImage</a></h2>
<blockquote>SegmentImage() segment an image by analyzing the histograms of the color components and identifying units that are homogeneous with the fuzzy C-means technique. </blockquote><P>The format of the SegmentImage method is:</P>
<blockquote>MagickBooleanType SegmentImage ( <A HREF="types.html#Image">Image</A> *image, const <A HREF="types.html#ColorspaceType">ColorspaceType</A> colorspace, const MagickBooleanType verbose, const double cluster_threshold, const double smooth_threshold ); </blockquote><P>A description of each parameter follows.</P>
<dl>
<dt><strong><a name="item_o_image_3a">image:</a></strong><br />
</dt>
<DD>
The image.
</dd>
<P></P>
<dt><strong><a name="item_o_colorspace_3a">colorspace:</a></strong><br />
</dt>
<DD>
indicates the colorspace.
</dd>
<P></P>
<dt><strong><a name="item_o_verbose_3a">verbose:</a></strong><br />
</dt>
<DD>
A value greater than zero prints detailed information about the identified classes.
</dd>
<P></P>
<dt><strong><a name="item_o_cluster_threshold_3a">cluster_threshold:</a></strong><br />
</dt>
<DD>
This MagickRealType represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).
</dd>
<P></P>
<dt><strong><a name="item_o_smooth_threshold_3a">smooth_threshold:</a></strong><br />
</dt>
<DD>
the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative.
</dd>
</dl>
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