• DocumentCode
    2306310
  • Title

    Flexible filter neighbourhood designation

  • Author

    Smith, Stephen M.

  • Author_Institution
    Defence Res. Agency, Chertsey, UK
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    206
  • Abstract
    This paper describes an approach to low level image noise reduction which uses non-linear comparisons to define which parts of the image are closely related to each individual pixel, i.e. what the local smoothing neighbourhood is. The resulting method achieves good smoothing without degrading edges, lines or corners in the image. It is also investigated for its multi-scale properties, and shown to give very little shift in edge position over multiple smoothing scales
  • Keywords
    edge detection; feature extraction; noise; smoothing methods; SUSAN filter; flexible filter neighbourhood designation; local smoothing neighbourhood; low level image noise reduction; multi-scale properties; nonlinear comparisons; Brightness; Computer vision; Degradation; Filtering algorithms; Image edge detection; Noise reduction; Nonlinear filters; Pixel; Smoothing methods; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546020
  • Filename
    546020