• DocumentCode
    454775
  • Title

    Fourier-Based Invariant Shape Prior for Snakes

  • Author

    Derrode, S. ; Charmi, M.A. ; Ghorbel, F.

  • Author_Institution
    GSM, Dom. Univ. de St Jerome
  • Volume
    2
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    A novel method of parametric active contours with geometric shape prior is presented in this paper. The main idea of the method consists in minimizing an energy functional that includes an additional information on a shape reference called "template" or "prototype". Prior shape knowledge is introduced throw a complete family of Euclidean invariants, computed from the Fourier descriptors of the evolving contour and the prototype. It enhances the model robustness to noise and occlusion, and allows it to evolve in highly concave boundaries. The variational formulation of the proposed approach is described in details. Experimental results on both synthetic and real images are presented and discussed
  • Keywords
    Fourier analysis; image processing; Euclidean invariants; Fourier-based invariant shape; geometric shape; parametric active contours; snakes; Active contours; Bayesian methods; Fourier transforms; GSM; Noise robustness; Noise shaping; Probability distribution; Prototypes; Shape; Statistical distributions; Euclidean invariants; Fourier descriptors; Snakes; active contours; shape prior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660289
  • Filename
    1660289