@inproceedings{55a8fe659af64427bedee37ac2e1ad66,
title = "Particle swarm optimization based active contour model",
abstract = "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.",
keywords = "Active contour model, Contour extraction, Particle swarm optimization",
author = "Xiaogang Liu and Xuemei Ren and Guangyue Xue",
year = "2013",
doi = "10.1007/978-3-642-31698-2_132",
language = "English",
isbn = "9783642316975",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "935--940",
booktitle = "Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering",
address = "Germany",
}