Tim created another superb solution. The highlights are an elegant center of square's determination using ndgrid. The crux of his method is a convolution for each square not using "same" with an interesting centroid kernel. The comparison between all square convolutions for all rotations utilizes a concise norm metric function. The method should work on non-binary images. The best six matches from the 180x180 upper triangle error array are handily converted into the output format. Thank You Tim for this elegant solution.
Column norms of a matrix
Is this group simply connected?
Convert a vector into a number
GJam 2013 Veterans: Ocean View (Small)
Primes Faster for Large N
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Vectorize the digits of an Integer
PACMAT 08 - Awesome Tunneling Ghosts, 2X Speed, 6 Lives, Game Download
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