can you share the code used to extract the four feature images/matrix?? and answering to your question, you could unsupervised classification such as fuzzy c means or k means if you are not interested in traning samples.
Classification of Texture using GLCM
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I used to Grey Level co-occurrence matrix to extract features of a certain grey-scale image. I ended up with an image/matrix of contrast, Energy, Entropy, and Homogeneity. How do I use these images for classification? How do I represent these images as one point for SVM classification?
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