I'm currently performing matrix cross correlation in python using :
C = scipy.signal.correlate2d(A,A)
where A is a 2D matrix, typically a picture. As you can imagine, it gets very long for large array, such that I'm looking for something faster.
Any hint ?
I also heard about
scipy.signal.fftconvolve. Despite that it's much more rapid, it rarely give me the same result at the end.