• DocumentCode
    2642594
  • Title

    Convexity analysis of active contour problems

  • Author

    Davatzikos, Christos ; Prince, Jerry L.

  • Author_Institution
    Dept. of Radiol., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    674
  • Lastpage
    679
  • Abstract
    A general active contour formulation is considered and a convexity analysis of its energy function is presented. Conditions under which this formulation has a unique solution are derived; these conditions involve both the active contour energy potential and the regularization parameters. This analysis is then applied to four particular active contour formulations, revealing important characteristics of their convexity, and suggesting that external potentials involving center of mass computations may be better behaved than the usual potentials based on image gradients. Most importantly, our analysis provides an explanation for the poor convergence behavior at concave boundaries and suggests an alternate algorithm for approaching these types of boundaries
  • Keywords
    computational geometry; computer vision; convergence of numerical methods; active contour energy potential; active contour problems; convergence behavior; convexity analysis; energy function; image gradients; mass computations; regularization parameters; Active contours; Algorithm design and analysis; Brain mapping; Brain modeling; Convergence; Elasticity; Image analysis; Joining processes; Potential energy; Radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517145
  • Filename
    517145