• DocumentCode
    2775462
  • Title

    Segmentation of deformable templates with level sets characterized by particle systems

  • Author

    Yahia, H.M. ; Berroir, J.P.

  • Author_Institution
    Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1421
  • Abstract
    A method for the segmentation of deformable structures using a formulation of level-sets with particles system is presented. This results in an original energetic formulation, and leads to a fast and robust method for computing the segmentation. Initialization is performed with the help of skeleton techniques, providing a stable and coherent initialization. It is possible to add or delete particles during the minimization process, and the use of particles systems makes it possible to contemplate hierarchical representations. The global shape is then represented by few control points, and more precision is obtained by locally adding new particles
  • Keywords
    feature extraction; image representation; image segmentation; minimisation; polynomials; contour extraction; deformable templates; image segmentation; initialization; level set method; minimization; particle systems; polynomials; shape representation; skeleton techniques; Automatic control; Computer graphics; Control systems; Electrical capacitance tomography; Level set; Minimization methods; Polynomials; Potential energy; Shape; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711969
  • Filename
    711969