• DocumentCode
    456602
  • Title

    An Enhanced Method for the Snake Algorithm

  • Author

    Lean, Charles C H ; See, Alex K B ; Shanmugam, S. Anandan

  • Author_Institution
    Sch. of Eng., Monash Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    The snakes algorithm is an image segmentation process that utilises energy-minimising splines. The energy terms are obtained from discrete points that make up a snake and the gray-level values in an image. An algorithm for automated positioning of the initial snake points is presented by the authors, together with two additional energy terms (intensity and spring) for the snake functional. The introduction of these two terms was found to produce a better segmentation result, with fewer iterations required for the snake to complete its energy-minimising process
  • Keywords
    image segmentation; iterative methods; splines (mathematics); energy-minimising spline process; gray-level value; image segmentation process; iteration method; snake algorithm; Biomedical engineering; Decision support systems; Equations; Flowcharts; Gabor filters; Gray-scale; Image segmentation; Iterative algorithms; Power engineering and energy; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.47
  • Filename
    1691785