A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anisotropic Vector Diffusion

Yu, Zeyun; Bajaj, Chandrajit L.

doi:10.1109/CVPR.2004.21

A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anisotropic Vector Diffusion

Zeyun Yu, Chandrajit L. Bajaj

CVPR 2004 pp. 415-420

doi:10.1109/CVPR.2004.21 /cvpr/2004/yu2004cvpr-segmentation-a/

Abstract

In this paper we describe a method for skeletonization of gray-scale images without segmentation. Our method is based on anisotropic vector diffusion. The skeleton strength map, calculated from the diffused vector field, provides us a measure of how possible each pixel could be on the skeletons. The final skeletons are traced from the skeleton strength map, which mimics the behavior of edge detection from the edge strength map of the original image. A couple of real or synthesized images will be shown to demonstrate the performance of our algorithm.

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Cite

Text

Yu and Bajaj. "A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anisotropic Vector Diffusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.21

Markdown

[Yu and Bajaj. "A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anisotropic Vector Diffusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/yu2004cvpr-segmentation-a/) doi:10.1109/CVPR.2004.21

BibTeX

@inproceedings{yu2004cvpr-segmentation-a,
  title     = {{A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anisotropic Vector Diffusion}},
  author    = {Yu, Zeyun and Bajaj, Chandrajit L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {415-420},
  doi       = {10.1109/CVPR.2004.21},
  url       = {https://mlanthology.org/cvpr/2004/yu2004cvpr-segmentation-a/}
}