• DocumentCode
    418096
  • Title

    Efficient hardware-oriented cellular active contours

  • Author

    Vilariño, David L. ; Rekeczky, Csaba

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Santiago de Compostela Univ., Spain
  • Volume
    3
  • fYear
    2004
  • fDate
    23-26 May 2004
  • Abstract
    In this paper, an improved algorithm for the cellular active contour technique called pixel-level snakes is proposed. The motivation is twofold: on the one hand a higher efficiency and flexibility in the contour evolution towards the boundaries of interest is pursued. On the other hand a higher performance and suitability for its hardware implementation onto a CNN chip-set architecture is required. To illustrate the validity of the proposal some examples and data about the computation time from the implementation of the algorithm on the 64×64 CNNUM chip have been included.
  • Keywords
    cellular neural nets; feature extraction; image segmentation; CNN chip-set architecture; CNNUM chip; cellular active contours; contour evolution; hardware implementation; pixel-level snakes; Active contours; Automation; Computer science; Data mining; Hardware; Laboratories; Pixel; Proposals; Shape control; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
  • Print_ISBN
    0-7803-8251-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.2004.1328676
  • Filename
    1328676