https://www.slicer.org/w/index.php?action=history&feed=atom&title=Documentation%2F4.8%2FModules%2FComputeGLCMFeatureMapsDocumentation/4.8/Modules/ComputeGLCMFeatureMaps - Revision history2026-04-10T18:14:00ZRevision history for this page on the wikiMediaWiki 1.33.0https://www.slicer.org/w/index.php?title=Documentation/4.8/Modules/ComputeGLCMFeatureMaps&diff=55494&oldid=prevUpdateBot: Nightly -> 4.82017-10-18T07:04:58Z<p>Nightly -> 4.8</p>
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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
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'''''Extensions:''''' [https://www.slicer.org/wiki/Documentation/Nightly/Extensions/BoneTextureExtesion BoneTextureExtesion]<br><br />
'''''Author:''''' Jean-Baptise Vimort, Kitware Inc.<br><br />
'''''Contributors:''''' Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br><br />
'''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br><br />
'''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Craniofacial Research (NIDCR) grant R21DE025306 (Textural Biomarkers of Arthritis for the Subchondral Bone in the Temporomandibular Joint), NIDCR grant R01DE024450 (Quantification of 3D bony Changes in<br />
Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering NIBIB) grant R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects).<br><br />
'''''License:''''' [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0]<br />
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Image:Kitware-logo.png|Kitware Inc.<br />
Image:UofM-logo.png|University of Michigan<br />
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This module can be used in order to compute run length texture feature maps of an input image. The computation of the run length features is based on the grey level co-occurrence matrix (GLCM) computed with [https://itk.org/Doxygen/html/classitk_1_1Statistics_1_1ScalarImageToTextureFeaturesFilter.html itk::itkCooccurrenceTextureFeaturesImageFilter] for each pixel’s neighborhood.<br><br />
The GLCM matrix describes each neighborhood local texture, it is then used to compute the following co-occurrence texture features: <br />
* Energy<br />
* Entropy<br />
* Correlation<br />
* Inverse difference moment<br />
* Inertia<br />
* Cluster shade<br />
* Cluster prominence<br />
* Haralick correlation<br />
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* <span style="color:blue">'''''Inputs'''''</span>: <br />
** <span style="color:green">'''Input volume'''</span> [<span style="color:orange">index: 0</span>] : Input Volume<br />
** <span style="color:green">'''Output volume'''</span> [<span style="color:orange">index: 1</span>] : Output diffusion-weighted volume where the 8 feature maps will be stored<br />
** <span style="color:green">'''Input mask'''</span> [<span style="color:orange">-s --inputMask</span>] (<span style="color:purple">None</span>) : A mask defining the region over which texture features will be calculated<br />
** <span style="color:green">'''Inside Mask Value'''</span> [<span style="color:orange">-i --inputMask</span>] (<span style="color:purple">1</span>) : The pixel value that defines the ”inside” of the mask<br />
** <span style="color:green">'''Neighborhood radius'''</span> [<span style="color:orange">-n --neighborhoodRadius</span>] (<span style="color:purple">4</span>) : The size of the neighborhood radius<br />
** <span style="color:green">'''Number of Intensity bins'''</span> [<span style="color:orange">-b --binNumber</span>] (<span style="color:purple">10</span>) : The number of intensity bins<br />
** <span style="color:green">'''Pixel Intensity Min'''</span> [<span style="color:orange">-p --pixelIntensityMin</span>] (<span style="color:purple">0</span>) : Minnimum of the pixel intensity range over which the features will be calculated<br />
** <span style="color:green">'''Pixel Intensity Max'''</span> [<span style="color:orange">-P --pixelIntensityMax</span>] (<span style="color:purple">4000</span>) : Maximum of the pixel intensity range over which the features will be calculated<br />
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{{documentation/{{documentation/version}}/module-section|Additional Information}}<br />
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* [http://www.insight-journal.org/browse/publication/985 InsightJournal article]<br />
* [https://github.com/InsightSoftwareC BoneTextureExtension Tutorial]<br />
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The source code is available on [https://github.com/Kitware/BoneTextureExtension/tree/master/ComputeGLCMFeatureMaps github]<br />
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