Multi-domain, higher order level set scheme for 3D image segmentation on the GPU
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 eva...
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| Veröffentlicht in: | 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2010-06, Vol.2010, p.2211-2216 |
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| container_title | 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| container_volume | 2010 |
| creator | Sharma, Ojaswa Qin Zhang Anton, François Bajaj, Chandrajit |
| description | 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. |
| doi_str_mv | 10.1109/CVPR.2010.5539902 |
| format | Article |
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| subjects | Image segmentation Level set |
| title | Multi-domain, higher order level set scheme for 3D image segmentation on the GPU |
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