• DocumentCode
    2039175
  • Title

    Image enhancement using watershed-based maximum homogeneity filtering

  • Author

    Hansen, M.W. ; Higgins, William E.

  • Author_Institution
    David Sarnoff Res. Center, Princeton, NJ, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    482
  • Abstract
    We introduce an image enhancement method referred to as watershed-based maximum homogeneity filtering. This enhancement technique uses watershed analysis to initially cluster groups of similar connected pixels into catchment basins. Similar neighboring catchment basins are then averaged together to compute the filtered image. As illustrative results show, this technique compares well to other popular nonlinear filters
  • Keywords
    filtering theory; image enhancement; nonlinear filters; catchment basins; filtered image; image enhancement; nonlinear filters; similar neighboring catchment basins; watershed analysis; watershed based maximum homogeneity filtering; Adaptive filters; Ear; Filtering; Image analysis; Image enhancement; Image processing; Noise reduction; Nonlinear filters; Pixel; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.529751
  • Filename
    529751
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2039175