Abstract
In this paper, we propose a new level set-based model and an unconditionally stable numerical method for bimodal image segmentation. Our model is based on the Lee-Seo active contour model. The numerical scheme is semi-implicit and solved by an analytical method. The unconditional stability of the proposed numerical method is proved analytically. We demonstrate performance of the proposed image segmentation algorithm on several synthetic and real images to confirm the efficiency and stability of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 3083-3090 |
| Number of pages | 8 |
| Journal | Applied Mathematics and Computation |
| Volume | 219 |
| Issue number | 6 |
| DOIs | |
| State | Published - 25 Nov 2012 |
| Externally published | Yes |
Keywords
- Chan-Vese model
- Energy minimization
- Image segmentation
- Lee-Seo model
- Level set model
- Unconditional stability
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