• DocumentCode
    1122440
  • Title

    Scalable and efficient parallel algorithms for Euclidean distance transform on the LARPBS model

  • Author

    Chen, Ling ; Pan, Yi ; Xu, Xiao-Hua

  • Author_Institution
    Dept. of Comput. Sci., Yangzhou Univ., China
  • Volume
    15
  • Issue
    11
  • fYear
    2004
  • Firstpage
    975
  • Lastpage
    982
  • Abstract
    A parallel algorithm for Euclidean distance transform (EDT) on linear array with reconfigurable pipeline bus system (LARPBS) is presented. For an image with n×n pixels, the algorithm can complete EDT transform in O(n log n/c(n) log d(n)) time using n·d(n)·c(n) processors, where c(n) and d(n) are parameters satisfying 1≤c(n)≤n, and 1ε, the algorithm can be completed in O(1) time using n2+ε processors. To the best of our knowledge, this is the most efficient constant-time EDT algorithm on LARPBS.
  • Keywords
    computational complexity; concurrency theory; image processing; parallel algorithms; parallel architectures; pipeline processing; reconfigurable architectures; system buses; Euclidean distance transform; LARPBS model; constant-time EDT algorithm; linear array; parallel EDT algorithms; reconfigurable pipeline bus system; time complexity; Computer Society; Computer science; Euclidean distance; Image analysis; Image processing; Optical arrays; Parallel algorithms; Phase change random access memory; Pipelines; Pixel; 65; Distance transform; image processing.; parallel algorithm;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2004.71
  • Filename
    1339248