sliding neighborhood operation PYTHON

Question

is there a python version for https://www.mathworks.com/help/images/sliding-neighborhood-operations.html, or a way to do it efficiently?

I want to be able to fit a custom sized window say [2x2] over an image/array, and apply a custom function to the values on that window. For example, like the matlab page, it could be setting the max of the surrounding numbers, though i know a convolution can do that. Specifically, I want to apply https://python-colormath.readthedocs.io/en/latest/delta_e.html the delta2000 function to each pixel and its neighbors and see the results.

I have not been able to find anything.

You can use `generic_filter` from `scipy.ndimage` Example here... https://stackoverflow.com/a/54440152/2836621 — Mark Setchell, Jul 04 '19 at 21:42
very helpful, thanks! any idea how to apply a function to the middle pixel in accordance with the outside pixels? — ha554an, Jul 04 '19 at 22:08
more specifically, this doesn't seem to work with pixels that have 3 values [R,G,B] — ha554an, Jul 04 '19 at 23:07

score 0 · Answer 1 · answered Jul 04 '19 at 21:28

For discrete convolution operations which are the most common sliding neighborhood methods (to apply filters on images like gaussian, blurring, e.t.c), OpenCV is a good library (and for any image processing task).

You should check also Numpy, which is used to operate with arrays (for instance, 2D or 3D images) and works fine with OpenCV

sliding neighborhood operation PYTHON

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