Is it possible to apply a median blur on an image with a custom kernel?

At the moment I see `medianBlur(src, dst, ksize)`

only allows ksize which will result in a square kernel. For example ksize=3 will give a kernel that is

`[1, 1, 1; 1, 1, 1; 1, 1, 1]`

so the median is taken from 9 pixels.

I’d like a kernel that is also of size 3, but with `[0,1,0;1,1,1;0,1,0]`

so the median is taken from 5 pixels.

generally, non-rectangular kernels ruin the time complexity of the median filter.

I’m unaware of this functionality in OpenCV.

`scipy.ndimage.median_filter`

sounds useful.

Thanks. I’ll look into that function. Setting the `footprint`

parameter seems to be exactly what I’m looking for.