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Home/ Questions/Q 7885723
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Editorial Team
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Editorial Team
Asked: June 3, 20262026-06-03T05:08:38+00:00 2026-06-03T05:08:38+00:00

I am trying to extract features using GLCM (gray-level co-occurrence matrix (GLCM) from image)

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I am trying to extract features using GLCM (gray-level co-occurrence matrix (GLCM) from image) in OpenCV.

In matlab we have graycomatrix. Does we have any function in openCV for the same purpose? If not, then what is the best solution to achieve it and is there any working example?

[EDIT]

I tried this code but it gives wrong values as compare to matlab result any better solution/function exist in OpenCV or am I doing any mistake in GLCM process?

            char rawdata[4][4] = { {0, 1, 2, 3},
           {1, 1, 2, 3},
           {1, 0, 2, 0},
           {0, 0,0, 3}};

           src->imageData = (char*)(&rawdata);

             CvGLCM* glcm;
            glcm = cvCreateGLCM(src, 2, NULL,4, CV_GLCM_OPTIMIZATION_NONE);
            cvCreateGLCMDescriptors(glcm, CV_GLCMDESC_OPTIMIZATION_ALLOWDOUBLENEST);

           for (int step=0; step<4; step++)
            {
                 printf("%.3f,", cvGetGLCMDescriptor(glcm, step, CV_GLCMDESC_CONTRAST));
                  printf("\n");
            }
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  1. Editorial Team
    Editorial Team
    2026-06-03T05:08:39+00:00Added an answer on June 3, 2026 at 5:08 am

    There is a class called CvGLCM:

    OpenCV-2.3.1a documentation

    I have never used it though.

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