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.
Matrix with different incremental runs
Sum the elements in either diagonal of a square matrix
nth Rational Number
Map all the indices of an Array Indices into a Vector giving Index vs Row and Column
AVIRIS Hyperspectral Bit Mask
Create a Cell array of month-end date strings within a date range
Kaggle: Planetoid Game of Life - Solve 3000 of 50000 Puzzles
PONG 001: Player vs Wall, 4 Lives, Interactive download
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