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.
DNA N-Gram Distribution
Wheat on a chessboard pt 2
Is the paranthesis sequence balanced ?
PONG 002: Rectangle, Interactive Download, Easier Play
USC Fall 2012 ACM: Driving the Rover
GJam March 2016 IOW: Cody's Jams
Angle between Two Vectors
GJam 2014 China Rd A: Read Phone Number
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