• DocumentCode
    1677079
  • Title

    Shape description of three-dimensional images based on medial axis

  • Author

    Bonnassie, A. ; Peyrin, F. ; Attali, D.

  • Author_Institution
    INSA, Villeurbanne, France
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    931
  • Abstract
    3D-shape description requires the partition of objects in different parts. We propose a new approach based on the analysis of a 3D skeleton. The skeleton is a representation of objects by their axis of symmetry. In 3D, it is composed of surfaces associated with plate-like parts of the object and curves associated with cylindrical parts. Our method is two parts. First, four types of skeleton points are identified: boundary, branching, regular and arc points. A skeleton point is labeled according to the intersection of its maximal ball with the object. In order to add tolerance to the process, the radius of maximal balls is slightly increased. Second, the reversibility of the skeleton is used to deduce a labeling of the whole object. Finally, we present an application of the method to the identification of bone structures from 3D high-resolution tomographic images
  • Keywords
    bone; computerised tomography; image classification; image representation; image resolution; image thinning; medical image processing; 3D shape description; 3D skeleton; arc points; axis of symmetry; bone structure identification; boundary points; branching points; high-resolution tomographic images; image analysis; image representation; maximal balls; medial axis; object labeling; object partition; regular points; reversibility; three-dimensional images; Application software; Bones; Image analysis; Image processing; Labeling; Laboratories; Shape; Skeleton; Tomography; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958277
  • Filename
    958277