Abstract
In this paper we present a methodology for smooth surface segmentation (partition) of volumetric images using higher order level set scheme. The segmentation allows for a multi-domain partitioning by minimizing modi-fied Mumford-Shah functional. Since, volumetric images tend to be de-manding in terms of computation and memory space, we employ a CUDA based fast GPU segmentation and provide accuracy measures compared with an equivalent CPU implementation. Our resulting surfaces are C2-smooth resulting from tri-cubic spline interpolation algorithm. We also provide error bounds on the reconstruction/segmentation.
| Original language | English |
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| Title of host publication | ISPRS International Workshop on Multidimensional & Mobile Data Model |
| Publication date | 2009 |
| Publication status | Published - 2009 |
| Event | ISPRS International Workshop on Multidimensional & Mobile Data Model - Malaysia Duration: 1 Jan 2009 → … |
Conference
| Conference | ISPRS International Workshop on Multidimensional & Mobile Data Model |
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| City | Malaysia |
| Period | 01/01/2009 → … |
Keywords
- GPU computation
- smooth surface reconstruction
- CUDA
- multi-domain volumetric segmentation
- Level set methods