How to find euclidean distances between cell entries of two RGB matrices?
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I have two RGB images A and B. Image A is 47x47x3 and image B is 1x456x3. I need to find the euclidean distances between all the entries of image A and all entries of image B. Then as a second goal I need to find for each cell in image A which cell in image B its closest to in euclidean distance. Does anyone has any suggestions? The things I tried have unfortunately failed.
Jan on 16 Nov 2020
A = rand(47, 47, 3);
B = rand(1, 456 3);
AB = reshape(A, 47*47, 1, 3) - B;
Dist = vecnom(AB, 2, 3);
And now you want to find the minimal values in each column. Afterwards you can use ind2sub to convert the linear indices back to the indices of A.
Another option is a simple loop:
Result = zeros(size(A));
for row = 1:47
for col = 1:47
dist = vecnorm(A(col, row, :) - B, 2, 3);
[~, index] = min(dist);
Result(col, row) = index;