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.
Swap the input arguments
Back to basics 22 - Rotate a matrix
Center of mass
frame of the matrix
PACMAT - G03 Ghosts use minimum path to PACMAT; 3 Lives
Hack not this Test Suite you will
Memory Map File: Access and Update
GJam: 2013 Rd1a Bullseye Painting - Large Numbers
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