Application of snake model based on PSO in the image segmentation

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2006, Pages 9637-9640

  Kejun, Wang ^a   Qingchang, Guo ^a   Dayan, Zhuang ^a   Hongxia, Chu ^a   Bin, Fu ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Global optimization; Image segmentation; PSO; Snake model

Indexed keywords

HIGH NOISE SENSITIVITY; LOCAL OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHMS; GLOBAL OPTIMIZATION; IMAGE ANALYSIS; MATHEMATICAL MODELS; SIGNAL NOISE MEASUREMENT;

IMAGE SEGMENTATION;

EID: 34047207262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1713872     Document Type: Conference Paper

References (7)

1. KASS M, WITKIN A, TERZOPULOS D, "Snakes: Active contour models," International Journal of Computer Vision, vol.1, no.4, pp. 321-33,1987.
2. Cohen L D, "On Active Contour Models and Balloon," CVGIP, vol.(53), no.2,pp 211-218, 1991.
3. Xu C, Prince P L, "Snakes, Shapes and Gradient Vector Flow," IEEE, Trans on Image Processing, vol.7, pp 359-369, 1998.
4. Kennedy J, Eberhart R C, "Particle Swarm Optimization," Proceedings of IEEE International Conference on Neural Networks, pp.1942-1948, 1995
5. MA, Stapinski, A, "Using active contours to extract the breast region in mammograms," Technical Report, Canada, 2003.
6. Eberhart R C, Shi Y, "Particle Swarm Optimization Developments, Applications and Resources", Proc. Congress on Evolutionary Computation, pp. 81-86, 2001.
7. Maurice C, Kennedy J, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE Transactions on Evolutionary Computation, vol. 6, no. 1, pp. 58-73, 2002.