• DocumentCode
    1742264
  • Title

    Fast skeletonization of spatially encoded objects

  • Author

    Romero, Francisco ; Ros, Lluis ; Thomas, Federico

  • Author_Institution
    CSIC, Barcelona, Spain
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    510
  • Abstract
    Some thinning algorithms for 3D objects, or generalizations of existing ones for 2D, have been proposed in recent years. The paper presents a simple and very fast algorithm compared to most of them, and still it has theoretically favorable properties. It provides a connected surface skeleton that allows shapes to be reconstructed with bounded error. In addition, it is also very attractive because it allows discrete skeletons to be obtained directly from volumes in many representations without converting them to a voxel-based representation. Our algorithm is a generalization of the one presented by Cardoner et al. (1997) for 2D objects. It is based on the application of directional erosions, while retaining those voxels that introduce disconnection
  • Keywords
    image reconstruction; image representation; image thinning; mathematical morphology; image reconstruction; image representation; mathematical morphology; skeletonization; spatially encoded objects; thinning; Animation; Biomedical imaging; Discrete transforms; Image reconstruction; Iterative algorithms; Robustness; Service robots; Shape control; Skeleton; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903595
  • Filename
    903595