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.
Most nonzero elements in row
Indexed Probability Table
Find a subset that divides the vector into equal halves
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Loading/Expanding a ZIP file from File Exchange
GJam 2016 Rd1A: Rank and File (small)
GJam: 2013 Rd1a Bullseye Painting - Large Numbers
Genome Sequence 003R: Sequence DNA of random positioned and flipped segments
Mastermind II: Solve in 8 or less
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