How to Extract features from a cell array and save it from training

Hello I read and saved images in a mat file. I need to know how to extract glcm features from the images saved in the mat file,

Here is the code I used. Thanks

img1 = imread('.....');
  img2  = imread('.....');
  fetch = {img1, img2};
  save fetch

[Walter Roberson]

You are not storing the images that you read, and you overwrite the variable fetch with constants. You are not going to be able to extract features from that cell array.

  img1 = imread('.....');
  img2  = imread('.....');
  fetch = {img1, img2};
  save fetch

[Chidiebere Orisakwe]

@Walter Roberson thanks for your help. So how can I extract Glcm features after saving fetch?

[Walter Roberson]

Gray Level Co-Occurrence

Everything else is just a matter of loading the data (if needed) and using cell indexing to extract an individual image.

Note: JPEG images are almost always RGB, even when they look gray.

[Chidiebere Orisakwe]

Hello thanks again. All the images are in gray scale I did the conversion while I was resizing them. Can you please give me an example code that uses cell indexing as I have no clue. Thanks

[Shivam Gupta]

MATLAB command GRAYCOMATRIX helps to find the GLCM. Please refer to the documentation at:

http://www.mathworks.com/help/images/ref/graycomatrix.html

For more information see:

https://in.mathworks.com/matlabcentral/fileexchange/22187-glcm-texture-features

[Walter Roberson]

cellfun(@graycomatrix, fetch, 'uniform', 0))