[SciPy-User] how to interpret scipy.signal.correlate2d
Mon Sep 10 07:42:44 CDT 2012
I would like to correlate two square matrices (same dimensions) with scipy.signal.correlate2d but I have some doubt on interpretation of results. In particular, I have a matrix A=(M, N) and another b=(m, n), when I apply correlate2d(A, b) I obtain a new matrix c=(M+m, N+n). What is the meaning of each element in the new matrix c?
I'm trying to find out which regions of two images are similar.
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