Here's an interesting problem, and it might've already been solved by some of you folks that do image processing:
Suppose I have an 8-bit integer 2-d array, X, and I want a 256x256 matrix that tells me how many times a pixel value v was horizontally (along second dimension) adjacent to a pixel value b. So, in an array [[1, 2, 1],[1,1,2],[1,0,0]] the upper left 3x3 square would be [[1, 1, 0], [1, 1, 3], [0, 3, 0]] with the rest of the matrix 0. Is there an efficient way to do such a thing with numpy operations? I can't think of a way. David _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
