• DocumentCode
    785548
  • Title

    Gaussian-based edge-detection methods-a survey

  • Author

    Basu, Mitra

  • Author_Institution
    Dept. of Electr. Eng., City Coll. of New York, NY, USA
  • Volume
    32
  • Issue
    3
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    252
  • Lastpage
    260
  • Abstract
    The Gaussian filter has been used extensively in image processing and computer vision for many years. We discuss the various features of this operator that make it the filter of choice in the area of edge detection. Despite these desirable features of the Gaussian filter, edge detection algorithms which use it suffer from many problems. We review several linear and nonlinear Gaussian-based edge detection methods.
  • Keywords
    computer vision; edge detection; filtering theory; Gaussian filter; Gaussian-based edge-detection methods; computer vision; image processing; linear methods; nonlinear methods; survey; Computer vision; Detectors; Filters; Gaussian processes; Helium; Image edge detection; Image processing; Layout; Object recognition; Smoothing methods;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2002.804448
  • Filename
    1097737