• DocumentCode
    479943
  • Title

    A Comparative Study of the Anti-noise Ability about Cubic B-spline Wavelet and Canny Algorithm

  • Author

    Li, Qing ; Liang, Yan ; Peng, Yanfang

  • Author_Institution
    Sch. of Inf. Eng., WHUT, Wuhan
  • Volume
    2
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    911
  • Lastpage
    914
  • Abstract
    The important scenery structure is embodied by the image border which carries the most important characteristic information of an image. Therefore, searching for a kind of better edge detection method which will apply to most images and have good anti-noise ability has become an urgent solution to this problem. The images containing different noise are detected by Cubic B-spline wavelet in this paper, and its result about anti-noise ability is superior to canny algorithm in both the subjective vision and the objective data.
  • Keywords
    edge detection; splines (mathematics); anti-noise ability; canny algorithm; cubic B-spline wavelet; edge detection; image border; scenery structure; Computer science; Filters; Image edge detection; Image processing; Pixel; Pollution; Polynomials; Software algorithms; Software engineering; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1021
  • Filename
    4722197