Mean Square Error (MSE)
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there are 208 images and the Dimension of each image is 256*256, now for each image I have extracted RGB value i.e 256*3 (768) then I have obtain a feature vector in fvector(v,z) the dimensions of fvector is 208*768. Now i need to calculate MSE, the MSE should be like
MSE of 1 with 1=
MSE of 1 with 2=
MSE of 1 with 3=
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MSE of 1 with 208
MSE of 2 with 1
MSE of 2 with 2.
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MSE of 208 with 208
How to calculate this?
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Answers (2)
Guillaume
on 21 Oct 2015
I'm assuming that the MSE you refer to is calculated according to the first formula on the wikipedia page. To apply this to your feature vector, use bsxfun:
mse = squeeze(sum(bsxfun(@minus, fvector, permute(fvector, [3 2 1])) .^ 2, 2))
element ij of the mse matrix is the mean square error of feature vector i with feature vector j. The matrix is obviously symmetrical.
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Image Analyst
on 21 Oct 2015
There is an immse() function in the Image Processing Toolbox that you might want to use.
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