A Fast Level Set-Like Algorithm for Region-Based Active Contours
| Authors | |
|---|---|
| Year of publication | 2010 |
| Type | Article in Proceedings |
| Conference | 6th International Symposium on Visual Computing |
| MU Faculty or unit | |
| Citation | |
| Web | http://dx.doi.org/10.1007/978-3-642-17277-9_40 |
| Doi | http://dx.doi.org/10.1007/978-3-642-17277-9_40 |
| Field | Informatics |
| Keywords | implicit active contours; Chan-Vese model; fast level set-like algorithm |
| Description | Implicit active contours are widely employed in image processing and related areas. Their implementation using the level set framework brings several advantages over parametric snakes. In particular, a parameterization independence, topological flexibility, and straightforward extension into higher dimensions have led to their popularity. On the other hand, a numerical solution of associated partial differential equations (PDEs) is very time-consuming, especially for large 3D images. In this paper, we modify a fast level set-like algorithm by Nilsson and Heyden (2003) intended for tracking gradient-based active contours in order to obtain a fast algorithm for tracking region-based active contours driven by the Chan-Vese model. The potential of the proposed algorithm and its comparison with two other fast methods minimizing the Chan-Vese model are demonstrated on both synthetic and real image data. |
| Related projects: |
|