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.
Find all elements less than 0 or greater than 10 and replace them with NaN
Detect a number and replace with two NaN's
Golomb's self-describing sequence (based on Euler 341)
Add two numbers
Cody Matlab Version
Unique: Enhanced Performance - Large and Wide Array - Speed Improvement (66% savings)
Play Tic Tac Toe : No Losses Allowed
Kryptos - CIA Cypher Sculpture: Vigenere Encryption
Kaggle 2020 Drone Delivery Contest
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