• DocumentCode
    3494642
  • Title

    Discrete curvature calculation for fast level set segmentation

  • Author

    Kybic, Jan ; Krátký, Jakub

  • Author_Institution
    Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    3017
  • Lastpage
    3020
  • Abstract
    Fast level set methods replace continuous PDEs by a discrete formulation, improving the execution times. The regularization in fast level set methods was so far handled indirectly via level set function smoothing. We propose to incorporate standard curvature based regularization into fast level set methods and address the problem of efficiently estimating local curvature of a discretized interface in 2D or 3D based on local partial volume. We present two algorithms for incremental partial volume evaluation: the first is recommended for moderate neighborhood sizes, the second has an excellent asymptotic complexity and can be useful for very large neighborhoods. The performance of the proposed methods is compared experimentally with previous approaches.
  • Keywords
    curve fitting; image segmentation; asymptotic complexity; curvature based regularization; discrete curvature calculation; discrete formulation; discretized interface; fast level set methods; fast level set segmentation; incremental partial volume evaluation; level set function smoothing; Computational complexity; Convolution; Cybernetics; Image segmentation; Iterative methods; Level set; Parametric statistics; Partial differential equations; Smoothing methods; Topology; Image segmentation; curvature estimation; level sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414453
  • Filename
    5414453