• DocumentCode
    304685
  • Title

    Parallel Hough transform on hyper-pyramid architecture: a divide and conquer approach

  • Author

    Dehili, A. ; Akil, M. ; Dujardin, E. ; Zahirzami, S. ; Hamard, K.

  • Author_Institution
    Groupe ESIEE Lab. I.A.A.I., Noisy le Grand, France
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    125
  • Abstract
    We present a parallel divide-and-conquer approach for detecting line segments on coarse grained architectures in general, and a particular solution on a hyper-pyramid structure. We use a method which extract directly the segments from the image without quantification such as in the classical Hough transform. The proposed solution is implemented on an environment on top of PVM
  • Keywords
    Hough transforms; divide and conquer methods; edge detection; parallel algorithms; parallel architectures; PVM; coarse grained architectures; divide and conquer approach; edge detector; geometric shapes detection; hyperpyramid architecture; hyperpyramid structure; line segment detection; parallel Hough transform; Circuit topology; Computer vision; Equations; Image edge detection; Image segmentation; Pixel; Routing; Shape; Switches; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560618
  • Filename
    560618