skeletonize

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2d and 3d distance transform based skeletonization

skeletonize 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# skeletonize

The skeletonize class finds the skeleton of a 2D pixel-based or 3D voxel-based object. The method detects ridges in the distance field of the object surface. If you use skeletonize in your research, please cite:

- Abdollahzadeh, A., Sierra, A. & Tohka, J. Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects. IEEE Access 9, 23979–23995 (2021).

The implementation only requires numpy and scikit-fmm:

```python
import numpy as np
from skeletonize import skeletonize

fn = './examples/bw_2d.npy'
bw_2d = np.load(fn)

skel = skeletonize(speed_power=1.2, Euler_step_size=0.5, depth_th=2, length_th=None, simple_path=False, verbose=False)
s = skel.skeleton(bw_2d)

```
- speed_power defines the power of the speed image.
- Euler_step_size: The Euler scheme is used for the back-tracking procedure, which solves the ordinary differential equation with a sub-voxel accuracy. 
- depth_th: prunning skeleton branches as a factor of deepest point in the object
- length_th: prunning skeleton branches as a factor of longest skeleton branch
- simple_path: substitute Euler method to define the shortest path
- verbose: print the branch length while finding the skeleton

skeletonize

skeletonize 최신버젼 다운로드

오늘의 추천 프로젝트

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skeletonize

skeletonize 최신버젼 다운로드

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