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
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