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seung-lab / euclidean-distance-transform-3d

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
GNU General Public License v3.0
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Anisotropy in all directions #40

Open oleg-kachan opened 2 years ago

oleg-kachan commented 2 years ago

It would be nice to have anisotropy in all directions, not only along the axes.

For n-dimensional image it could be parameterized by an n x n matrix defining the ellipsoid, instead of n numbers as it is done right now.

william-silversmith commented 2 years ago

Hi Oleg! Could you tell me a bit more about your use case? I am not confident yet, but I think this would require a different algorithm. The current algorithm really benefits from the axis alignment of the image and anisotropy. Are there other libraries out there or papers describing this kind of modification?