• DocumentCode
    2627231
  • Title

    Watershed pyramids for edge detection

  • Author

    Wright, Anthony S. ; Acton, Scott T.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    578
  • Abstract
    In this paper, we present a multiresolution implementation of the watershed segmentation algorithm. Our approach uses the morphological pyramid to form a scale space representation, offering a significant reduction in computational cost. In addition to increased efficiency, the multiresolution approach avoids the over-segmentation problem of traditional fixed scale watershed algorithms. As shown in the examples, the watershed pyramids produce edge maps corresponding to the desired scale without sacrificing accuracy in edge location
  • Keywords
    edge detection; image representation; image resolution; image segmentation; mathematical morphology; edge detection; edge location; edge maps; image processing; morphological pyramid; multiresolution implementation; scale space representation; watershed pyramids; watershed segmentation algorithm; Computational efficiency; Image edge detection; Image processing; Image resolution; Image segmentation; Laboratories; Manufacturing processes; Pixel; Surface morphology; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.638837
  • Filename
    638837