• DocumentCode
    2461879
  • Title

    A robust active contour model with insensitive parameters

  • Author

    Xu, Gang ; Segawa, Eigo ; Tsuji, Saburo

  • Author_Institution
    Dept. of Syst. Eng., Osaka Univ., Japan
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    562
  • Lastpage
    566
  • Abstract
    Active contours, known as snakes, have found wide application since their first introduction in 1987 by M. Kass, A. Witkin and D. Terzopoulos. However, one problem with the current models is that the performance depends on proper internal parameters and initial contour position, which, unfortunately, cannot be determined a priori. It is usually difficult to tune internal parameters and initial contour position. The problem results from the fact that the internal normal force at each point of a contour is also a function of contour shape. To solve this problem, the authors propose to compensate for this internal normal force so as to make it independent of shape. As a result the new model works robustly with no necessity for tuning internal parameters and can converge to high curvature points like corners
  • Keywords
    computer vision; high curvature points; initial contour position; insensitive parameters; internal normal force; performance; robust active contour model; snakes; Active contours; Force control; Position sensitive particle detectors; Robustness; Shape; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378161
  • Filename
    378161