Hello,
I looks like skimage.filters.rank.mean and scipy.signal.convolve2d don't output
exactly the same images. When doing:
image = data.coins()
K = np.ones((11, 11))
rank_mean = rank.mean(image, selem=K)
naive_convolve = convolve2d(image, K, mode="same") / K.sum()
All output pixel are different, with an absolute difference varying randomly
between 0 and 1. Of course there's also a massive difference at the border, but
that's expected because convolve2d treats image boundaries differently. But
even in the center of the image all pixels are different. I've made a test
script with an illustrated output image, you can check it out in this gist:
https://gist.github.com/vpoughon/b4afc76ce5dc681fda9d0550d41359d3
Am I doing something wrong?
Thanks,
Victor Poughon
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