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cristyffb69ed2010-12-25 00:06:48 +0000[diff] [blame]7 <title>ImageMagick: MagickCore, C API for ImageMagick: Segment an Image with Thresholding Fuzzy c-Means</title>
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cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]58<p class="text-center"><a href="segment.html#SegmentImage">SegmentImage</a></p>
cristy06f63f22012-10-31 00:50:07 +0000[diff] [blame]59
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]60<h2><a href="http://www.imagemagick.org/api/MagickCore/segment_8c.html" id="SegmentImage">SegmentImage</a></h2>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]61
62<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>
63
64<p>The format of the SegmentImage method is:</p>
65
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]66<pre class="text">
67MagickBooleanType SegmentImage(Image *image,
68 const ColorspaceType colorspace,const MagickBooleanType verbose,
cristy82a2ff22015-05-12 16:41:32 +0000[diff] [blame]69 const double cluster_threshold,const double smooth_threshold)
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]70</pre>
71
72<p>A description of each parameter follows.</p>
73
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]74<dt>image</dt>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]75<p>the image.</p>
76
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]77<dt>colorspace</dt>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]78<p>Indicate the colorspace.</p>
79
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]80<dt>verbose</dt>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]81<p>Set to MagickTrue to print detailed information about the identified classes.</p>
82
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]83<dt>cluster_threshold</dt>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]84<p>This represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage).</p>
85
cristy44443b92015-05-05 00:06:07 +0000[diff] [blame]86<dt>smooth_threshold</dt>
cristy20398432011-08-11 01:31:50 +0000[diff] [blame]87<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>
88
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