• DocumentCode
    1022606
  • Title

    Gradient-based edge detection using nonlinear edge enhancing prefilters

  • Author

    Hardie, Russell C. ; Boncelet, Charles G.

  • Author_Institution
    Dept. of Electr. Eng., Dayton Univ., OH, USA
  • Volume
    4
  • Issue
    11
  • fYear
    1995
  • fDate
    11/1/1995 12:00:00 AM
  • Firstpage
    1572
  • Lastpage
    1577
  • Abstract
    This correspondence examines the use of nonlinear edge enhancers as prefilters for edge detectors. The filters are able to convert smooth edges to step edges and suppress noise simultaneously. Thus, false alarms due to noise are minimized and edge gradient estimates tend to be large and localized. This leads to significantly improved edge maps
  • Keywords
    edge detection; filtering theory; image enhancement; interference suppression; nonlinear filters; CS filter; LUM filter; WMMR filter; comparison and selection filter; gradient-based edge detection; image processing; lower-upper-middle filter; noise suppression; nonlinear edge enhancing prefilters; smooth edges; step edges; weighted majority of samples with minimum range filter; Data mining; Detectors; Feature extraction; Image converters; Image edge detection; Image processing; Noise level; Nonlinear filters; Smoothing methods;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.469938
  • Filename
    469938