• DocumentCode
    2593823
  • Title

    A fast algorithm for active contours

  • Author

    Williams, Donna J. ; Shah, Mubarak

  • Author_Institution
    Stetson Univ., DeLand, FL, USA
  • fYear
    1990
  • fDate
    4-7 Dec 1990
  • Firstpage
    592
  • Lastpage
    595
  • Abstract
    A method of controlling snakes that combines speed, flexibility, and simplicity is presented. It is compared to the original variational calculus method of M. Kass et al. (1987) and the dynamic programming method developed by A.A. Amini et al. (1988) and found to be comparable in final results, while being faster than dynamic programming and more stable and flexible for including hard constraints than the variational calculus approach. The introduction of the concept of curvature highlights the problem of how to approximate curvature when a curve is represented by a set of discrete points. The advantages and disadvantages of a number of different approximations of curvature are pointed out
  • Keywords
    computer vision; computerised pattern recognition; computerised picture processing; dynamic programming; variational techniques; active contours; approximations; curve; dynamic programming; fast algorithm; flexibility; simplicity; snakes; speed; variational calculus; Active contours; Calculus; Dynamic programming; Feedback; Greedy algorithms; Heuristic algorithms; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1990. Proceedings, Third International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-8186-2057-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1990.139602
  • Filename
    139602