Adaptive snake model with automatic force rectification
- Din-Yuen Chan 0, Cheng-Li Chiu, Wei-Ta Chien
- Corresponding Author
- Din-Yuen Chan
0National Chiayi University, Chia-Yi, Taiwan, ROC
- https://doi.org/10.2991/jcis.2006.11How to use a DOI?
- Adaptive snake model, Concavity
- Most applications of snake model are domain-specific, while specifying fixed snake coefficients to an image in problem. In this paper, we propose content-triggered adaptive snake model (CASM) to lead all the parameters of snake model to be automatically adapted for various images in the noisy environment. First, the CASM applies a fast estimation method to find the possible ranges of gradient magnitudes of object boundary. As soon as the gradient magnitude of progressing snaxels falls in those ranges, CASM will adapt the weights within the snake forces of these snaxels according to encountered changes in gray levels and influences of various forces in the resided snake segments. And, it simultaneously renormalizes their external and internal forces. After primary convergence, CASM fires a compensation evolution to rectify the unqualified snaxels far from the object boundary. The unqualified snaxels, which are discovered by block-based texture analysis, can be pushed inward or pulled outward to the object border by so-called directional compensation evolution in revived evolutions. The simulation results demonstrate that CASM can improve the performance of snake very much, and outperform Gradient Vector Flow (GVF) in noisy images.
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Cite this article
TY - CONF AU - Chan, Din-Yuen AU - Chiu, Cheng-Li AU - Chien, Wei-Ta DA - 2006/10/05 TI - Adaptive snake model with automatic force rectification BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.11 DO - https://doi.org/10.2991/jcis.2006.11 ID - Chan2006 ER -