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

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Hla Hla 2022-9-14

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https://ww2.mathworks.cn/matlabcentral/answers/1804820-how-i-can-extract-glcm-features-from-3d-volumetric-brain-tumor-images

回答： Mandar 2023-2-1

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

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Answer 1

Mandar 2023-2-1

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https://ww2.mathworks.cn/matlabcentral/answers/1804820-how-i-can-extract-glcm-features-from-3d-volumetric-brain-tumor-images#answer_1161095

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