• DocumentCode
    3318952
  • Title

    A snake for model-based segmentation

  • Author

    Radeva, Petia ; Serrat, Joan ; Marti, Enric

  • Author_Institution
    Comput. Vision Group, Autonomous Univ. of Barcelona, Spain
  • fYear
    1995
  • fDate
    20-23 Jun 1995
  • Firstpage
    816
  • Lastpage
    821
  • Abstract
    Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and flattening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity. We argue here that these problems can be solved only when all the snake aspects are considered. The snakes proposed here implement a new potential field and external force in order to provide a deformation convergence, attraction by both near and far edges as well as snake behaviour selective according to the edge orientation. Furthermore, we conclude that in the case of model-based segmentation, the internal force should include structural information about the expected snake shape. Experiments using this kind of snakes for segmenting bones in complex hand radiographs show a significant improvement
  • Keywords
    image segmentation; convergence; deformation process; edge orientation; elasticity; local determination; model-based segmentation; snake degeneration; snake initialization; snake techniques; spurious edge points; stability; Bones; Computer science; Computer vision; Convergence; Elasticity; Image resolution; Image segmentation; Noise shaping; Shape; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1995. Proceedings., Fifth International Conference on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-8186-7042-8
  • Type

    conf

  • DOI
    10.1109/ICCV.1995.466854
  • Filename
    466854