• DocumentCode
    2829546
  • Title

    Towards real-time 3D region-based segmentation: B-spline explicit active surfaces

  • Author

    Barbosa, D. ; D´hooge, J. ; Dietenbeck, T. ; Friboulet, D. ; Bernard, O.

  • Author_Institution
    Lab. on Cardiovascular Imaging & Dynamics, Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    3121
  • Lastpage
    3124
  • Abstract
    We introduce in this paper a formulation of region-based active contours using explicit surfaces. By formally relating the explicit formulation to the usual implicit formulation, we show that it allows to take advantage of the local or global region-based functionals designed in the level-set framework, while providing a fast algorithm yielding close to real-time segmentation of 3D objects. We compare the segmentation performance of the proposed method with the fast level-set based method of Shi [8]. In similar conditions, the proposed method is 26x to 46x faster. Furthermore, we show that it can handle challenging, inhomogeneous data, while keeping a low computational burden.
  • Keywords
    image segmentation; solid modelling; splines (mathematics); visual databases; B-spline explicit active surface; explicit formulation; fast algorithm; global region-based functional; implicit formulation; inhomogeneous data; level-set framework; local region-based functional; real-time 3D region-based segmentation; region-based active contour; Active contours; Image segmentation; Nonhomogeneous media; Real time systems; Spline; Surface treatment; Three dimensional displays; B-splines; Image segmentation; active contours; real-time; variational method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116327
  • Filename
    6116327