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Home/ Questions/Q 6735103
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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T10:58:07+00:00 2026-05-26T10:58:07+00:00

I’ve a picture. I create the co-occurrence matrix ( graycomatrix ) to extract different

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I’ve a picture. I create the co-occurrence matrix (graycomatrix) to extract different properties (contrast, correlation) etc on it (graycoprops)

x = []
for a lot of pictures, do the same:
    imgB = imread('currentLoopImage.jpg')

    contrast = graycoprops(graycomatrix(rgb2gray(imgB)), 'Contrast')
    correlation = graycoprops(graycomatrix(rgb2gray(imgB)), 'Correlation')
    energy = graycoprops(graycomatrix(rgb2gray(imgB)), 'Energy')
    homogeneity = graycoprops(graycomatrix(rgb2gray(imgB)), 'Homogeneity')

    x = [x;contrast;correlation;energy;homogeneity]

The thing is that I need to save all the values on that matrix X, but I get the following error:

CAT arguments are not consistent in structure field names.

As this is the output I get from each type:

homogeneity = 

    Homogeneity: 0.8587

There are different types, so I can’t save them on the X matrix.
The output matrix X, should save only the numbers, and ignore that “Homogenity”

Can someone tell me who can I do this?

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  1. Editorial Team
    Editorial Team
    2026-05-26T10:58:07+00:00Added an answer on May 26, 2026 at 10:58 am

    From the graycoprops() example:

    >> GLCM = [0 1 2 3;1 1 2 3;1 0 2 0;0 0 0 3];
    >> stats = graycoprops(GLCM)
    
    stats = 
    
           Contrast: 2.8947
        Correlation: 0.0783
             Energy: 0.1191
        Homogeneity: 0.5658
    

    Then just do:

    >> x = struct2array(stats)
    
    ans =
    
        2.8947    0.0783    0.1191    0.5658
    

    Also note that you can include all your images in an m x n x p matrix and process them all at once, instead of using the for loop. For example:

    >> GLCM(:,:,2) = GLCM;
    >> cell2mat(struct2cell(stats))
    
    ans =
    
        2.8947    2.8947
        0.0783    0.0783
        0.1191    0.1191
        0.5658    0.5658
    
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