• DocumentCode
    2808281
  • Title

    Parallel algorithm for gray-scale image segmentation

  • Author

    Cohen, Harvey A.

  • Author_Institution
    Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
  • fYear
    1996
  • fDate
    18-20 Nov 1996
  • Firstpage
    143
  • Lastpage
    146
  • Abstract
    One of the classic algorithms of mathematical morphology is the image segmentation algorithm of A. Rosenfeld and D. Pfaltz (1966). This algorithm in its “sequential” form, seeks to mark with a common label all connected pixels in an image, where the connectivity actually used in practice is 4-connectivity or 8-connectivity. The sequential Rosenfeld-Pfaltz algorithm (RS Algorithm) algorithm was presented for binary images; H.A. Cohen (199) has previously presented a one pass modification to the RS algorithm, and extended the algorithm to gray scale. The RS algorithm is not simple to parallelise in principle, as pixels in a connected subregion may be connected only via a chain of connected pixels in several other sub regions. We present a parallelisable algorithm for segmenting into regions, images of multiple gray scale, based on the one pass algorithm
  • Keywords
    image segmentation; mathematical morphology; parallel algorithms; 4-connectivity; 8-connectivity; binary images; classic algorithms; connected pixels; connected subregion; gray scale; gray scale image segmentation; image segmentation algorithm; mathematical morphology; multiple gray scale; one pass algorithm; one pass modification; parallel algorithm; parallelisable algorithm; sequential Rosenfeld-Pfaltz algorithm; Australia; Computer science; Gray-scale; Image color analysis; Image segmentation; Image texture analysis; Labeling; Morphology; Parallel algorithms; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems, 1996., Australian and New Zealand Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-3667-4
  • Type

    conf

  • DOI
    10.1109/ANZIIS.1996.573919
  • Filename
    573919