• DocumentCode
    319679
  • Title

    Applications of the region growing Euclidean distance transform: anisotropy and skeletons

  • Author

    Cuisenaire, Olivier ; Macq, Benoit

  • Author_Institution
    Lab. of Telecommun. & Remote Sensing, Univ. Catholique de Louvain, Belgium
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    200
  • Abstract
    A new region growing algorithm has been proposed for computing Euclidean distance maps in a time comparable to widely used chamfer distance transform. We show how this algorithm can be extended to more complex tasks such as the computation of distance maps on anisotropic grids and the generation of a new type of Euclidean skeletons
  • Keywords
    image representation; image segmentation; mathematical morphology; transforms; Euclidean distance maps; Euclidean skeletons; anisotropic grids; anisotropy; binary objects representation; chamfer DT; chamfer distance transform; image scanning; morphological skeletons; region growing Euclidean distance transform; Anisotropic magnetoresistance; Biomedical imaging; Euclidean distance; Grid computing; Laboratories; Mesh generation; Pixel; Remote sensing; Skeleton; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.647446
  • Filename
    647446
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=319679