• DocumentCode
    457132
  • Title

    A Geometric Active Contour Framework using Multi-Cue and Local Feature

  • Author

    Li, Zhenglong ; Liu, Qingshan ; Lu, Hanqing

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    There exist two key issues in the traditional geometric active contour (GAC): only single cue based driven force and edge leakage. In this paper, we propose two new GACs, i.e., multi-Cue based GAC (MC-GAC) and local-feature based GAC (LF-GAC), to deal with these two problems respectively. In MC-GAC, a multi-cue based force is generated by introducing the customized vector flow into the model. To utilize local feature information, LF-GAC is developed, in which local edge information is considered to produce continuous edge. Further, we unify these two GACs into a novel general GAC framework. Extensive experiments showed the advantages of the proposed method
  • Keywords
    computational geometry; edge detection; feature extraction; customized vector flow; edge information; edge leakage; geometric active contour framework; local feature information; multicue based force; multicue feature; Active contours; Automation; Bidirectional control; Computer vision; Equations; Laboratories; Level set; Motion estimation; Pattern recognition; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.72
  • Filename
    1699160