摘要
In this paper, an active contour model is proposed for contour extraction based on a new particle swarm optimization (NPSO) to overcome the traditional active contour model's sensitivity to noise and initial position. The traditional snake is used to define the initial region and the fitness function for the swarm. Then, the contour of the object can be found using NPSO. Experiments are provided to show that the proposed model can not only extract the accurate contour but also reach good anti-noise performance.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering |
| 出版商 | Springer Verlag |
| 页 | 935-940 |
| 页数 | 6 |
| ISBN（印刷版） | 9783642316975 |
| DOI | |
| 出版状态 | 已出版 - 2013 |
出版系列
| 姓名 | Advances in Intelligent Systems and Computing |
|---|---|
| 卷 | 181 AISC |
| ISSN（印刷版） | 2194-5357 |
指纹
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Liu, X., Ren, X., & Xue, G. (2013). Particle swarm optimization based active contour model. 在 Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering (页码 935-940). (Advances in Intelligent Systems and Computing; 卷 181 AISC). Springer Verlag. https://doi.org/10.1007/978-3-642-31698-2_132