• DocumentCode
    3024663
  • Title

    Image retrieval based on improved Canny edge detection algorithm

  • Author

    Yubing Dong ; Mingjing Li ; Jie Li

  • Author_Institution
    Electron. Eng. Coll., Changchun Univ., Changchun, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1453
  • Lastpage
    1457
  • Abstract
    The edge detection algorithm is the key problem of image processing. The tradition Canny edge detection algorithm is analyzed and evaluated. In order to avoid the influence of defects coming from Canny algorithm, an improved Canny edge detection algorithm is proposed in this paper. The algorithm takes use of Gaussian filter to eliminate the noise. It calculated preserving the more edge information while filtering the noise. And the algorithm could be applied in image retrieval. The simulation results show that the method not only can detect more detail of the edge, but also can improve the image retrieval performance.
  • Keywords
    edge detection; image denoising; image retrieval; minimum shift keying; Canny edge detection algorithm; Gaussian filter; edge information; image processing; image retrieval; noise elimination; Computers; Detectors; Equations; Image edge detection; Image retrieval; Mathematical model; Noise; Canny operator; edge detection; image retrieval; intensity gradient; threshold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885296
  • Filename
    6885296