How to calculate the contrast energy, entropy of an 3d volumetric image using GLCM feature extractactions method?

Hello, I am using GLCM for the texture analysis of 3d volumetric image. But i do not solve this problem. Error occupy as follow:

Error using graycomatrix

Expected input number 1, I, to be two-dimensional.

Error in graycomatrix>ParseInputs (line 260)

validateattributes(I,{'logical','numeric'},{'2d','real','nonsparse'}, ...

Error in graycomatrix (line 167)

[I, Offset, NL, GL, makeSymmetric] = ParseInputs(varargin{:});

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 then extract the GLCM features. In case of volumetric image, you may take the average along the one of the three dimension to get the 2-d representation using "mean" function. Refer the following documentation link to know more about GLCM properties.

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