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.
2 b | ~ 2 b
Back to basics 20 - singleton dimensions
Wheat on a chessboard pt 1
The Answer to Life, the Universe, and Everything
Diophantine Equations (Inspired by Project Euler, problem 66)
BattleShip - Petty Officer (Level 2)
USC Fall 2012 ACM: Martian Pranks
Prime Sequences: AP-k Minimum Final Value
Fix y_correct : Hack
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