How i can extract GLCM features from 3d volumetric brain tumor images?

I need to extract GLCM features and classification this features by SVM code.

Answer 1

[Mandar]

The GLCM features can be is obtained by computing gray-level co-occurrence matrix using “graycomatrix”. Next, the “graycoprops” computes the properties such as Entropy, Homogeneity etc. by processing the matrix. Currently, “graycomatrix” function supports only 2-D intensity images as input. As a potential workaround, convert the 3-d image to the 2-d gray-level image using “im2gray” then extract the GLCM features. Refer the following documentation link to know more about GLCM properties.

Link: https://in.mathworks.com/help/images/ref/graycoprops.html#bu3lofz-1-properties

Refer the following documentation link to know more about SVM classifier.

Link: https://in.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html