• DocumentCode
    1742789
  • Title

    Pixel-level snakes

  • Author

    Vilarino, David L. ; Cagello, D. ; Pardo, Xose M. ; Brea, Victor M.

  • Author_Institution
    Dept. of Electron., Santiago de Compostela Univ., Spain
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    640
  • Abstract
    An alternative to classical image segmentation based on active contour techniques is discussed. The approach is based on deformable contours which evolve until reaching a final desired location. The contour shift is guided by external information from the image under consideration which attracts them towards the target characteristics (intensity, extremes, edges,...) and by internal forces which try to maintain the smoothness of the contour curve. These forces act on each pixel of the contours, resulting in a high degree of freedom for the contour evolution and provide a high flexibility for the evolution dynamics of the snakes which allows the solution of complex tasks as is the case for topologic transformations. This, along with the use of only local information will allow the algorithm implementation into an array of processors leading towards “pixel-level” contour processing
  • Keywords
    cellular neural nets; distributed processing; image segmentation; image thinning; topology; active contour techniques; contour curve; contour evolution; deformable contours; edges; evolution dynamics; extremes; intensity; local information; pixel-level contour processing; pixel-level snakes; topologic transformations; Active contours; Anatomical structure; Biomedical image processing; Cellular neural networks; Computer science; Deformable models; Force control; Image segmentation; Signal to noise ratio; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905419
  • Filename
    905419