Conference paper
CUDA Accelerated Multi-domain Volumetric Image Segmentation and Using a Higher Order Level Set Method
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.
Language: | English |
---|---|
Year: | 2009 |
Proceedings: | ISPRS International Workshop on Multidimensional & Mobile Data Model |
Types: | Conference paper |
ORCIDs: | Anton, François |