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My code just arrived at matrix normalization, how to calculate the value of glcm features such as entropy, energy, contrast, correlation, and homogeneity. Here is the code

private void Classification() {

    Mat gl = Mat.zeros(256, 256, CvType.CV_64F);
    Mat glt = gl.clone();

    //Create GLCM d= 1 , angle = 0
    for (int y = 0; y < finalResult.rows(); y++) {
        for (int x = 0; x < finalResult.cols()-1; x++) {

            int i = (int) finalResult.get(y, x)[0];
            int j = (int) finalResult.get(y, x + 1)[0];

            double[] count = gl.get(i, j);
            count[0]++;
            gl.put(i, j, count);
        }
    }

    //GLCM Transpose
    Core.transpose(gl, glt);

    //Symmetric Matrix
    Core.add(gl, glt, gl);

    //Matrix Normalization
    Scalar sum = Core.sumElems(gl);
    Core.divide(gl, sum, gl);

My code just arrived at matrix normalization, how to calculate the value of glcm features such as entropy, energy, contrast, correlation, and homogeneity. Here is the code

private void Classification() {

    Mat gl = Mat.zeros(256, 256, CvType.CV_64F);
    Mat glt = gl.clone();

    //Create GLCM d= 1 , angle = 0
    for (int y = 0; y < finalResult.rows(); y++) {
        for (int x = 0; x < finalResult.cols()-1; x++) {

            int i = (int) finalResult.get(y, x)[0];
            int j = (int) finalResult.get(y, x + 1)[0];

            double[] count = gl.get(i, j);
            count[0]++;
            gl.put(i, j, count);
        }
    }

    //GLCM Transpose
    Core.transpose(gl, glt);

    //Symmetric Matrix
    Core.add(gl, glt, gl);

    //Matrix Normalization
    Scalar sum = Core.sumElems(gl);
    Core.divide(gl, sum, gl);