CBIR ,read image, index

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

Answer 1

[Image Analyst]

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

[Ragini Gaikwad]

Thank you so much sir. I will try this out.

[Ragini Gaikwad]

@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