ML Anthology

Multi-Domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Ojaswa Sharma, Qin Zhang, François Anton, Chandrajit L. Bajaj
CVPR 2010 pp. 2211-2216
doi:10.1109/CVPR.2010.5539902 /cvpr/2010/sharma2010cvpr-multi/

Abstract

Level set method based segmentation provides an efficient tool for topological and geometrical shape handling. Conventional level set surfaces are only C(0) continuous since the level set evolution involves linear interpolation to compute derivatives. Bajaj et al. present a higher order method to evaluate level set surfaces that are C(2) continuous, but are slow due to high computational burden. In this paper, we provide a higher order GPU based solver for fast and efficient segmentation of large volumetric images. We also extend the higher order method to multi-domain segmentation. Our streaming solver is efficient in memory usage.

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Cite

Text

Sharma et al. "Multi-Domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539902

Markdown

[Sharma et al. "Multi-Domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/sharma2010cvpr-multi/) doi:10.1109/CVPR.2010.5539902

BibTeX

@inproceedings{sharma2010cvpr-multi,
  title     = {{Multi-Domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU}},
  author    = {Sharma, Ojaswa and Zhang, Qin and Anton, François and Bajaj, Chandrajit L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {2211-2216},
  doi       = {10.1109/CVPR.2010.5539902},
  url       = {https://mlanthology.org/cvpr/2010/sharma2010cvpr-multi/}
}