• 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