Abstract
In this paper, an efficient multiscale scheme for level set evolution is proposed. First, we are addressing the problem of passing the solution from the coarser scale to the finer one. Inspired by the idea of the entropy condition and its extention, an efficient passing solution method is presented, where neither extrapolation nor complex computation is needed. Thus it could induce fast convergence rate. Furthermore, an improved Hermes algorithm, called fast Hermes, is developed to fast implement the level set evolution on each scale by further loosening the constraint in the intermediate levels. Our approach is evaluated and compared to the existing algorithm. The experimental results are very promising.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 694-697 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 1 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico Duration: Sep 17 2003 → Sep 21 2003 |
Keywords
- Fast Hermes
- Front propagation
- Level set
- Multiscale
- Potential front
- Segmentation
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics