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.
Arrange Vector in descending order
Back to basics 8 - Matrix Diagonals
Convert hex color specification to MATLAB RGB
Generate a string like abbcccddddeeeee
Raise Matrix to Power
BattleShip - Petty Officer (Level 2)
USC Spring 2012 ACM: Armageddon
Animated GIF Creator
Minimum Sum thru a Lower Triangle
Factorial: Unlimited Size : java.math
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