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.
Given two arrays, find the maximum overlap
yet another flying fly (YAFF)
letter yes yes & letter no no
Set a diagonal
Kaggle: Reverse Game of Life - Zoo of Stills and Oscillators
Slitherlink III: Evolve
GJam 2013 China Event: Happy Teams 100 Pairs
GJam 2014 China Rd B: Party
GJam 2015 Rd1B: Counter Culture
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