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.
Angle of triangle
Column norms of a matrix
BattleShip - Petty Officer (Level 2)
GJam 2014 China Rd A: Maze with a Left Hand Rule
GJam 2017 Kickstart: Vote (Small)
Genome Sequence 001: Introductory DNA Sequencing
USC Fall 2012 ACM Question A : Read Input File
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