DocumentCode :
2632034
Title :
Invariant Topology Snakes Driven by Particle Swarm Optimizer
Author :
Zeng, Delu ; Zhou, Zhiheng
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
38
Lastpage :
38
Abstract :
Active contour modelling (ACM) plays a significant role in boundaries extraction or image segmentation. In this paper, we present a method of invariant topology snakes driven by particle swarm optimizer (ITPSO snakes) and its application in ACM. We use some control points on the contour as particles in ITPSO. To avoid intersections and maintain topology of the active contour in the process of ACM, and consider inhomogeneous boundaries, we design a novel scheme to restrict the velocity updates. So the best discovered positions for next round velocity updates are no more computed as in the traditional method of PSO. The experimental results show that the proposed ITPSO snakes can perform well in homogeneous boundaries extraction.
Keywords :
edge detection; feature extraction; image segmentation; particle swarm optimisation; topology; active contour modelling; boundaries extraction; image segmentation; invariant topology snakes; particle swarm optimization; Active contours; Circuit topology; Convolution; Data mining; Image segmentation; Neurons; Noise robustness; Optimization methods; Particle swarm optimization; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.332
Filename :
4603227
Link To Document :
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