• DocumentCode
    2476454
  • Title

    Very fast ellipse detection using GPU-based RHT

  • Author

    Lee, Jong Kwan ; Wood, Brian A. ; Newman, Timothy S.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama in Huntsville, Huntsville, AL, USA
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An approach to very rapid computation of one class of randomized Hough transform (RHT) using parallel processing capabilities of a programmable graphics processing unit is described. The method is able to detect ellipses in real-time, even in large images. It uses fragment processing in recovering ellipse shape parameters. Its effectiveness is evaluated through experiments on synthetic and real images.
  • Keywords
    Hough transforms; computer graphics; object detection; GPU-based RHT; ellipse detection; ellipse shape parameter; fragment processing; parallel processing; programmable graphics processing unit; randomized Hough transform; Biomedical imaging; Computer graphics; Computer science; Concurrent computing; Face detection; Inspection; Manufacturing automation; Object detection; Parallel processing; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761168
  • Filename
    4761168
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2476454