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.
Inner product of two vectors
Maintain shape of logical-index mask
Magic is simple (for beginners)
Infinite precision division
Mastermind I: Solve all 1296 cases
Identify Reachable Points
Genome Sequence 002: Introductory DNA Sequencing (Flipped Segments)
GJam March 2016 IOW: Passwords and the Block Set
Volume of a Parallelepiped
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