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CBIR ,read image, index

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Ragini Gaikwad
Ragini Gaikwad 2021년 5월 14일
댓글: Ragini Gaikwad 2021년 5월 16일
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

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Image Analyst
Image Analyst 2021년 5월 14일
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
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Ragini Gaikwad
Ragini Gaikwad 2021년 5월 16일
@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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