• DocumentCode
    3020624
  • Title

    Image edge detection based on wavelet transform and Canny operator

  • Author

    Deng, Cai-xia ; Bai, Ting-ting ; Geng, Ying

  • Author_Institution
    Appl. Sci. Coll., Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    355
  • Lastpage
    359
  • Abstract
    A method for image edge detection based on image fusion is presented in this paper. Since traditional wavelet transforms are unable to control the noise well and the edge is not consistent with direction properties, some improvements are made and a new kind of wavelet transform is proposed. It detects the edge of original image by means of new wavelet transform and Canny operator respectively, then produces a new image by fusing and analyzing the two results based on the experimental results. It is shown that the proposed method provides clearer and smoother edges than that using Sobel or wavelet transformation algorithms alone. This algorithm is simple, useful and easy to implement.
  • Keywords
    algorithm theory; edge detection; image fusion; wavelet transforms; Canny operator algorithm; image edge detection; image fusion; wavelet transform; Continuous wavelet transforms; Educational institutions; Fourier transforms; Image analysis; Image edge detection; Image fusion; Pattern analysis; Pattern recognition; Wavelet analysis; Wavelet transforms; Canny operator; Edge detection; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3728-3
  • Electronic_ISBN
    978-1-4244-3729-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2009.5207469
  • Filename
    5207469