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.
Roll the Dice!
Longest run of consecutive numbers
Evaluating continued fractions
Is it an Armstrong number?
Rubik's Cube: 30 Moves or Less : Minimum Moves
Usage of mkdir and copyfile
Genome Sequence 004: Long 3rd Generation Segment Correction
Criss-Cross: NHL - Optimize Matrix Size
Solve Rubik's Cube - Up to Two Face Moves
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