CBIR ,read image, index

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Ragini Gaikwad
Ragini Gaikwad on 14 May 2021
Commented: Ragini Gaikwad on 16 May 2021
Guys, I want to take 10 images form my image database, read them, index them, find grey level and histogram. make bin to size 15. calculate feature vector of each image. calulate ED or MSE.
I tried with this
mds = imageDatastore(location)
imds = imageDatastore(location,Name,Value)
but, didnt get expected output

Accepted Answer

Image Analyst
Image Analyst on 14 May 2021
Start with this:
folder = pwd; % Wherever.
filePattern = fullfile(folder, '*.png')
imds = imageDatastore(filePattern)
numFiles = length(imds.Files)
for k = 1 : numFiles
subplot(2, 1, 1);
fullFileName = imds.Files{k};
[folder, baseFileNameNoExt, ext] = fileparts(fullFileName);
rgbImage = imread(imds.Files{k});
imshow(rgbImage);
caption = sprintf('File #%d of %d : %s', k, numFiles, [baseFileNameNoExt, ext]);
title(caption, 'Interpreter', 'none');
subplot(2, 1, 2);
imhist(rgbImage);
drawnow;
promptMessage = sprintf('Do you want to Continue processing,\nor Quit processing?');
titleBarCaption = 'Continue?';
buttonText = questdlg(promptMessage, titleBarCaption, 'Continue', 'Quit', 'Continue');
if contains(buttonText, 'Quit', 'IgnoreCase', true)
return; % or break or continue.
end
end
  2 Comments
Ragini Gaikwad
Ragini Gaikwad on 15 May 2021
Thank you so much sir. I will try this out.
Ragini Gaikwad
Ragini Gaikwad on 16 May 2021
@Image Analyst, thanks for the code above. Next I am trying this.
%%glcm
glcms = graycomatrix(I)
%%glcm ENE/ENT/COR/CON
stats = graycoprops(glcms,{'contrast','homogeneity','Correlation','Energy'})
I want to get mean and variance ..for texture feature..so how do i start for this calculation

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