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.
380 Solvers
Spectral Distance - Speed Scoring
8 Solvers
Sum the entries of each column of a matrix which satisfy a logical condition.
136 Solvers
132 Solvers
When can one be the Life Member of the IEEE?
70 Solvers
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!