• DocumentCode
    1579700
  • Title

    Image edge detection based on Multi-scale Morphological operator

  • Author

    Xia, Ping ; Gong, Guoqiang ; Liu, Xinqiong ; Xiang, Xuejun

  • Author_Institution
    College of computer and information technology, China Three Gorges University, Yichang, Hubei Province, China
  • fYear
    2012
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    Image edge detection algorithm based on Multi-scale Morphological operator is proposed. First, Composite morphological filters is defined with opening - closing Operators as well as closing - opening Operators, and applied to image filtering; Secondly, because the different shape structural operator can detect the different direction and the structure edge information, for this, the morphological structure base is defined with multi-direction operator, and applied, and applied to detect image edge information, and reconstructed ideal image edge. Simulation results show that the algorithm can apply to detect the noise image edge, of which the MSE performance of image denoiseing are respectively less than the opening-closing Operators 7.82% and closing-opening Operators 6.38%, and the PSNR performance are respectively better than the opening-closing Operators 14.68% and closing-opening Operators 8.05%. In the aspect of detection precision, the continuous and closed edge information can be obtained. Comparing with the traditional operators detection algorithm, the new algorithm can get clearer edge
  • Keywords
    Closing-opening operator; Edge detection; Multi-scale morphology; Opening-closing operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321267