Non-linear distance based filter

[Juan Nunez-Iglesias]

@JDWarner, actually, instead of iterating, setting one of the sampling
dimensions to a very large number should produce the desired output, no? =)


On Tue, Jul 15, 2014 at 11:13 AM, Josh Warner <silvertrumpet999 at gmail.com>
wrote:

> I don't believe sampling works like this. The sampling= 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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