I don’t believe
sampling
works like this. Thesampling=
kwarg tells the algorithm the spacing of each pixel/voxel in each spatial dimension. It then calculates the distance transform. So if you put a zero in, it will traverse in that dimension with a distance cost of zero for each step. This will generate a result that has mostly spurious zero distances, rather than select a particular axis to calculate the distance transform along.To calculate the correct distance function along a specific axis probably requires repeated calls along that axis; since
scipy.ndimage
is by definition n-dimensional it should be able to efficiently handle rank-1 arrays without issue.I use the super handy Chrome extension “Markdown Here” to write in Markdown and then have my free entry fields converted to pretty HTML prior to posting. At this point I pretty much think in Markdown…
Josh
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