How to normalize GLCMs created for four offsets?
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I am using Matlab 2019b to extract texture features of images using gray level co-occurrence matrix (glcm). I have written the following code to extract rotation invariant features with directions 0, 45, 90, 135. The code creates four glcms and every feature has four values; one per direction.
I = imread('test.jpg')
offsets = [0 1; -1 1;-1 0;-1 -1];
glcm = graycomatrix(I, 'GrayLimits', [], 'Offset',offsets);
stats = graycoprops(glcm);
I want to normalize the glcms then extract each feature from the normalized glcms.
Any help is greatly appreciated.
2 个评论
Image Analyst
2020-3-22
Not sure what you want. Do you just want this
glcm = glcm / sum(glcm(:));
or
glcm = glcm / max(glcm(:));
or
glcm = rescale(glcm, 0, 1);
回答(2 个)
Image Analyst
2020-3-24
Regarding your last comment above . . .It told you it's not integer and it needs integer. So, cast it to integer:
uint8Image = uint8(rescale(rgb2gray(mskRgbImg), 0, 255));
Then pass that into graycomatrix().
See my attached glcm demo.
3 个评论
Image Analyst
2020-3-25
So don't normalize it. Why do you think each should be normalized? If each is normalized independently then how can you compare them?
Hend Abouche
2022-4-8
编辑:Image Analyst
2022-4-8
Hello, I am working on texture features extraction and I want to ask you why you didn't use just the function graycomatrix in a simple way, but you used the offset. Did you do it so you can specify the pixels that you want to calculate their co-occurrence?
5 个评论
nissrine Neyy
2022-6-23
Hi @Image Analyst, i have a question in the same context, what's the difference between using symmetric and not (set it to false or true), i know how it works but in term of results which is better and what does it give or add as an information ?
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