There is a type of texture features called GLGCM (Gray Level Gradient Based Co-occurrence Matrix) that captures information about how different image gradients co-occur with each other.
GLGCM is different from normal GLCM.
Can anyone help me find an implementation for GLGCM in Python?
I don't have access to the paper right now, so I am not sure about how the details are but, what if you use GLCM on gradient image normalized into 0-255 range?
Python implementation could be found in scikit-image library