Calculating mean square difference (MSD) of two matrices
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I would like to calculate the MSD of two matrices, but I cannot figure what MSD actually is. From my understanding, it is like this:
Im = [0 252 204;
221 135 58;
156 122 127]
Im2 = [169 250 237;
186 196 148;
227 148 4]
F2 = sum(sum(mean(Im2-Im).^2))
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Chunru
il 25 Nov 2021
Im = [0 252 204;
221 135 58;
156 122 127]
Im2 = [169 250 237;
186 196 148;
227 148 4]
F2 = sum(sum(mean(Im2-Im).^2))
% Mean Squared Difference
% mean diff squared all elements
F = mean((Im - Im2).^2, 'all')
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Chunru
il 26 Nov 2021
'all' means to sum all elements of the array. sum(sum(mean(Im2-Im).^2)) is to compute the difference (Im2-Im), then find its mean, then square, then sum up all elements.
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