# seung-lab/kimimaro

<https://repo.masters-masters.com/en/repos/seung-lab/kimimaro>

[Home](https://repo.masters-masters.com/en) › [seung-lab](https://repo.masters-masters.com/en/owners/seung-lab) › [kimimaro](https://repo.masters-masters.com/en/repos/seung-lab/kimimaro)

seung-lab/kimimaro has 224 stars on GitHub. Its RepoMasters card: Prototype tier. Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis…

| Field | Value |
| --- | --- |
| Owner | [seung-lab](https://repo.masters-masters.com/en/owners/seung-lab) |
| Stars | 224 |
| Forks | 30 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | GPL-3.0 |
| Created | 2019 |
| Topics | biomedical-image-processing, teasar, skeletonization, connectomics, python, skeletons, volumetric-data, image-segmentation, voxel, centerline |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [seung-lab/kimimaro](https://github.com/seung-lab/kimimaro) |

## Repository

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.