• DocumentCode
    725920
  • Title

    An improved algorithm for active contour extraction based on greedy snake

  • Author

    Hui Ren ; Zhibin Su ; Chaohui Lv ; Fangjv Zou

  • Author_Institution
    Sch. of Inf. & Eng., Commun. Univ. of China, Beijing, China
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    589
  • Lastpage
    592
  • Abstract
    To get the closed boundary of target object, this paper proposed an improved algorithm with disparity-guided constraint for active contour extraction based on greedy snake model. The disparity relationship between the control point and the centre of the object could introduce a new external force, which adds the function of shrinking and expanding for the traditional greedy snake when the curve falls onto texture-less regions. In addition, our method also uses the improved model iteratively with processed control points as the original input. Experiment results have proved this method will obtain the accurate contour made up of uniform and dense points, which is more effective than the traditional greedy snake algorithm.
  • Keywords
    feature extraction; greedy algorithms; active contour extraction; disparity-guided constraint; greedy snake algorithm; greedy snake model; texture-less region; Active contours; Adaptation models; Computational modeling; Euclidean distance; Force; Mathematical model; Process control; active contour; contour extraction; disparity; greedy snake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICIS.2015.7166662
  • Filename
    7166662