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.
Spot the outlier
Spectral Distance - Speed Scoring
Sum the entries of each column of a matrix which satisfy a logical condition.
When can one be the Life Member of the IEEE?
GJam 2016 Rd1A: Rank and File (small)
USC Fall 2012 ACM: Martian Pranks
Chezz_000 : Simplified chess
Mandelbrot Number Test [Real+Imaginary]
PONG 002: Rectangle, Interactive Download, Easier Play
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