• DocumentCode
    3294653
  • Title

    An edge detection technique in images

  • Author

    Awad, A.S. ; Man, H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hudson, NJ
  • fYear
    2008
  • fDate
    15-17 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others in images corrupted by AWGV. Moreover, the algorithm is fast and has low computational complexity.
  • Keywords
    edge detection; filtering theory; edge detection technique; edge pixels; neighbourhood similarity criterion; neighbouring pixels; noise-free images; Additive white noise; Computational complexity; Computational modeling; Filtering algorithms; Gaussian noise; Image edge detection; Neural networks; Pixel; Smoothing methods; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
  • Conference_Location
    Washington DC
  • ISSN
    1550-5219
  • Print_ISBN
    978-1-4244-3125-0
  • Electronic_ISBN
    1550-5219
  • Type

    conf

  • DOI
    10.1109/AIPR.2008.4906439
  • Filename
    4906439