• DocumentCode
    3091447
  • Title

    Distributed image processing on spiral architecture

  • Author

    Wu, Qiang ; He, Xiangjian ; Hintz, Tom

  • Author_Institution
    Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia
  • fYear
    2002
  • fDate
    23-25 Oct. 2002
  • Firstpage
    84
  • Lastpage
    91
  • Abstract
    Improving computation efficiency is a key issue in image processing, especially in edge detection, which is very computationally intensive. With the development of real-time applications of image processing, fast processing response is becoming more critical. In this paper, a technique for distributed image processing on a spiral architecture is proposed, which provides a platform for speeding up image processing based on clusters.
  • Keywords
    client-server systems; image processing; parallel architectures; real-time systems; workstation clusters; clusters; computation efficiency; distributed image processing; edge detection; real-time application; spiral architecture; Computer architecture; Concurrent computing; Costs; Helium; Image edge detection; Image processing; Local area networks; Postal services; Power system modeling; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Algorithms and Architectures for Parallel Processing, 2002. Proceedings. Fifth International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7695-1512-6
  • Type

    conf

  • DOI
    10.1109/ICAPP.2002.1173556
  • Filename
    1173556
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3091447