Comments and Ratings

Hi guys, thanx alot for your comments. Sorry for the looong delay, but I hadn't checked the forum for quite a long time. Anyway, I am posting a simple function that computes the color histograms of a whole directory of images. In this way you will be also able to build your training data. You can use this function and then store the returned histograms (along with the filenames) in a mat file.

Matlab code:

function [Hists, files] = getImageHistsDir(DirName)

D = dir(DirName);

count = 0;

for (i=3:length(D))
    if ((strcmpi(D(i).name(end-3:end), '.jpg')==1) | (strcmpi(D(i).name(end-3:end), '.jpeg')==1))
        count = count + 1;
        [Hists{count}] = getImageHists([DirName '\\' D(i).name]);
        files{count} = [DirName '\\' D(i).name];
        fprintf('%.4d File %40s computed...\n',count,files{count})
    end
end

As you can see, you just specify the directory name in which the images are stored. This is actually what Nicola Franzoso has provided, but in a function mode.