euclidean-distance-transform-3d

seung-lab

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

algorithm

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252 Stars

37 Forks

252 Watchers

C++ Language

lgpl-3.0 License

Cost to Build

$691.7K

Market Value

$2.08M

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2025-07-01

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What is the seung-lab/euclidean-distance-transform-3d GitHub project? Description: "Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/seung-lab/euclidean-distance-transform-3d.git

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