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<h1>Image Segmentation Filters<br>
<small>
[<a class="el" href="group__ImageFilters.html">Image Filters</a>]</small>
</h1>
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Collaboration diagram for Image Segmentation Filters:</div>
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<center><table><tr><td><img src="group__ImageSegmentation.png" border="0" alt="" usemap="#group____ImageSegmentation_map">
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<area shape="rect" id="node2" href="group__IntensityImageSegmentation.html" title="Intensity&#45;Based Image Segmentation Filters" alt="" coords="500,5,820,35"><area shape="rect" id="node3" href="group__ImageFilters.html" title="Image Filters" alt="" coords="607,60,713,89"><area shape="rect" id="node4" href="group__HybridSegmentation.html" title="Hybrid Segmentation Filters" alt="" coords="556,117,764,147"><area shape="rect" id="node5" href="group__RegionBasedSegmentation.html" title="Region&#45;Based Segmentation Filters" alt="" coords="531,171,789,200"><area shape="rect" id="node6" href="group__ModelImageSegmentation.html" title="Model&#45;Based Image Segmentation Filters" alt="" coords="511,224,809,253"></map></td></tr></table></center>
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<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1GradientVectorFlowImageFilter.html">itk::GradientVectorFlowImageFilter&lt; TInputImage, TOutputImage, TInternalPixel &gt;</a></td></tr>

<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">This class computes a diffusion of the gradient vectors for graylevel or binary edge map derive from the image. It enlarges the capture range of the gradient force and make external force derived from the gradient work effectively in the framework of deformable model.  <a href="classitk_1_1GradientVectorFlowImageFilter.html#_details">More...</a><br></td></tr>
<tr><td colspan="2"><br><h2>Modules</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__IntensityImageSegmentation.html">Intensity-Based Image Segmentation Filters</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__RegionBasedSegmentation.html">Region-Based Segmentation Filters</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__ModelImageSegmentation.html">Model-Based Image Segmentation Filters</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__HybridSegmentation.html">Hybrid Segmentation Filters</a></td></tr>

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<hr><a name="_details"></a><h2>Detailed Description</h2>
Image segmentation filters process an image to partition it into meaningful regions. Various types of image segmentation algorithms are available in ITK - some examples are, unsupervised pixel classification methods, region-growing methods, watershed-based methods, deformable-model based methods, and level-set based methods. </div>
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