• DocumentCode
    3354174
  • Title

    An Improved CANNY Edge Detection Algorithm

  • Author

    Wang, Bing ; Fan, Shaosheng

  • Author_Institution
    Dept. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    497
  • Lastpage
    500
  • Abstract
    Canny arithmetic operator has been proved to have good detective effect in the common usage of edge detection. However, Canny operator also has certain deficiencies. Based on the analysis of the traditional Canny algorithm, an improved Canny algorithm is proposed in this paper. In the algorithm, self-adaptive filter is used to replace the Gaussian filter, morphological thinning is adopted to thin the edge and morphological operator is used to achieved the refining treatment of edge points detection and the single pixel level edge. The results of experiment show the improved Canny algorithm is reasonable.
  • Keywords
    adaptive filters; edge detection; image thinning; mathematical morphology; Canny arithmetic operator; edge detection; edge refinement; morphological operator; morphological thinning; self-adaptive filter; Adaptive filters; Algorithm design and analysis; Computer science; Digital arithmetic; Gaussian noise; Image edge detection; Image registration; Image segmentation; Pattern recognition; Shape; adaptive filter; canny algorithm; edge detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.718
  • Filename
    5403419