Euclidean distance transform for multi-label 3D anisotropic images using marching parabolas.
python
algorithm
cpp
numpy
parallel
neuroscience
connectomics
distance-transform
3d
2d
biomedical-image-processing
1d
anisotropy
euclidean-distance
anisotropic
euclidean-distance-transform
marching-parabolas
-
Updated
Jun 3, 2021 - C++
The manual states “Note: In PyDV commands, spaces are used to delimit items on the input line. More precisely items on a command line are either space delimited, are preceded by a left parenthesis if the first item in a list, or terminated by a right parenthesis if the last item in a list. Semicolons may be used to stack multiple commands on a single interactive input line. In interactive mode, ra