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.
Find Rotated Substring
Wind outward from the center ...
Construct an index vector from two input vectors in vectorized fashion
Diophantine Equations (Inspired by Project Euler, problem 66)
Pandiagonal Prime Magic Square Verification
GJam: 2013 Rd1a Bullseye Painting - Large Numbers
Rubik's Mini-Cube: Solve Randomized Mini-Cube - Score : Moves
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