• DocumentCode
    3404100
  • Title

    Multi-domain, higher order level set scheme for 3D image segmentation on the GPU

  • Author

    Sharma, Ojaswa ; Zhang, Qin ; Anton, François ; Bajaj, Chandrajit

  • Author_Institution
    DTU Inf., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2211
  • Lastpage
    2216
  • Abstract
    Level set method based segmentation provides an efficient tool for topological and geometrical shape handling. Conventional level set surfaces are only C0 continuous since the level set evolution involves linear interpolation to compute derivatives. Bajaj et al. present a higher order method to evaluate level set surfaces that are C2 continuous, but are slow due to high computational burden. In this paper, we provide a higher order GPU based solver for fast and efficient segmentation of large volumetric images. We also extend the higher order method to multi-domain segmentation. Our streaming solver is efficient in memory usage.
  • Keywords
    computer graphic equipment; coprocessors; image segmentation; 3D image segmentation; GPU; higher order level set scheme; linear interpolation; Image segmentation; Level set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-6984-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2010.5539902
  • Filename
    5539902