Documentation/Nightly/Modules/ComputeGLRLMFeatures - Revision history

Jb.vimort at 14:46, 6 July 2017

2017-07-06T14:46:21Z

Jb.vimort at 14:37, 6 July 2017

2017-07-06T14:37:58Z

Jb.vimort at 14:33, 6 July 2017

2017-07-06T14:33:47Z

Jb.vimort at 14:22, 6 July 2017

2017-07-06T14:22:01Z

Jb.vimort at 14:13, 6 July 2017

2017-07-06T14:13:16Z

Jb.vimort at 13:48, 6 July 2017

2017-07-06T13:48:30Z

Jb.vimort at 13:46, 6 July 2017

2017-07-06T13:46:20Z

Jb.vimort: Created page with "{{documentation/versioncheck}} {{documentation/{{documentation/version}}/module-header}}

@@ Line 25: / Line 25: @@
 {{documentation/{{documentation/version}}/module-section|Module Description}}
 <!-- ---------------------------- -->
-This module can be used in order to compute run length texture features over the input image. The computation of the run length features is based on the grey level run length matrix (GLRLM) computed with [https://itk.org/Doxygen/html/classitk_1_1Statistics_1_1ScalarImageToRunLengthFeaturesFilter.html itk::itkScalarImageToRunLengthFeaturesImageFilter].<br>
+This module can be used in order to compute run length texture features over the input image. The computation of the run length features is based on the grey level run length matrix (GLRLM) computed with [https://itk.org/Doxygen/html/classitk_1_1Statistics_1_1ScalarImageToRunLengthFeaturesFilter.html itk::itkScalarImageToRunLengthFeaturesFilter].<br>
 The GLRLM matrix describes the texture of the whole image, it is then used to compute the following run length texture features:
 * short run emphasis

@@ Line 65: / Line 65: @@
 ** <span style="color:green">'''Output Vector'''</span> [<span style="color:orange">output</span>] : Output vector containing all the feature value stored in the same order than previously
 |}
 <!-- ---------------------------- -->

@@ Line 44: / Line 44: @@
 * <span style="color:blue">'''''Inputs'''''</span>:
 ** <span style="color:green">'''Input volume'''</span> [<span style="color:orange">index: 0</span>] : Input Volume
-** <span style="color:green">'''Input mask'''</span> [<span style="color:orange">-s --inputMask</span>] : A mask defining the region over which texture features will be calculated
+** <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
-** <span style="color:green">'''Inside Mask Value'''</span> [<span style="color:orange">-i --inputMask</span>] : The pixel value that defines the ”inside” of the mask
+** <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
-** <span style="color:green">'''Number of Intensity bins'''</span> [<span style="color:orange">-b --binNumber</span>] : The number of intensity bins
+** <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
-** <span style="color:green">'''Pixel Intensity Min'''</span> [<span style="color:orange">-p --pixelIntensityMin</span>] : Minnimum of the pixel intensity range over which the features will be calculated
+** <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
-** <span style="color:green">'''Pixel Intensity Max'''</span> [<span style="color:orange">-P --pixelIntensityMax</span>] : Maximum of the pixel intensity range over which the features will be calculated
+** <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
-** <span style="color:green">'''Distance Min'''</span> [<span style="color:orange">-d --distanceMin</span>] : Minnimum of the distance range over which the features will be calculated
+** <span style="color:green">'''Distance Min'''</span> [<span style="color:orange">-d --distanceMin</span>] (<span style="color:purple">0.0</span>) : Minnimum of the distance range over which the features will be calculated
-** <span style="color:green">'''Distance Max'''</span> [<span style="color:orange">-D --distanceMax</span>] : Maximum of the distance range over which the features will be calculated
+** <span style="color:green">'''Distance Max'''</span> [<span style="color:orange">-D --distanceMax</span>] (<span style="color:purple">1.0</span>) : Maximum of the distance range over which the features will be calculated
 * <span style="color:blue">'''''Outputs'''''</span>:
 ** <span style="color:green">'''Short Run Emphasis'''</span> [<span style="color:orange">output</span>] : Short Run Emphasis feature value

@@ Line 26: / Line 26: @@
 <!-- ---------------------------- -->
 This module can be used in order to compute run length texture features over the input image. The computation of the run length features is based on the grey level run length matrix (GLRLM) computed with [https://itk.org/Doxygen/html/classitk_1_1Statistics_1_1ScalarImageToRunLengthFeaturesFilter.html itk::itkScalarImageToRunLengthFeaturesImageFilter].<br>
+The GLRLM matrix describes the texture of the whole image, it is then used to compute the following run length texture features:
 {{documentation/{{documentation/version}}/module-section|Use Cases}}

@@ Line 11: / Line 11: @@
 '''''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>
 '''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br>
-'''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Cranio-
+'''''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
-facial Research (NIDCR) grant R01EB021391 (Textural Biomarkers of Arthritis for the Subchondral Bone
+Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering NIBIB) grant R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects).<br>
 '''''License:''''' [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0]