• DocumentCode
    276162
  • Title

    The Euclidean distance transform in arbitrary dimensions

  • Author

    Ragnemalm, I.

  • Author_Institution
    Linkoping Univ.
  • fYear
    1992
  • fDate
    7-9 Apr 1992
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    The sequential, raster scanning algorithm for performing Euclidean distance transformation of binary images is not separable. This makes it useful only on single processor systems. The author suggests variants for 2, 3 and arbitrary dimensions that are separable, which makes them suitable for many types of parallel architectures as well. The results include a 4-scan algorithm for 3-dimensional images
  • Keywords
    computerised picture processing; parallel algorithms; 3D images; 4-scan algorithm; Euclidean distance transform; arbitrary dimensions; parallel architectures; raster scanning algorithm; single processor systems;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1992., International Conference on
  • Conference_Location
    Maastricht
  • Print_ISBN
    0-85296-543-5
  • Type

    conf

  • Filename
    146795