how to calculate the glcm features variance, dissimilarity, Inverse difference and sum of variance

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MINO GEORGE
MINO GEORGE on 23 Aug 2021
Answered: Prateek Rai on 8 Oct 2021
Hi
I am able to extract the 4 features from the image using graycomatrix(). But i wanted to extract all possible fetures from the image. How can i do this. Pls help. Any help is appreciated.

Answers (1)

Prateek Rai
Prateek Rai on 8 Oct 2021
To my understanding, you want to extract all possible features using gray-level co-occurrence matrix from the image.
You can use "graycoprops" function to calculate the statistics from the gray-level co-occurrence matrix glcm.
You can also refer to graycoprops MathWorks documentation page to learn more on graycoprops function.

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