• DocumentCode
    3258870
  • Title

    Cell-edge detection method based on canny algorithm and mathematical morphology

  • Author

    Zhang, Xiao-qin ; Yang, Kuo ; Hao, Bao-qing

  • Author_Institution
    Life Sci. & Technol., Southwest Univ. for Nat., Cheng Du, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    894
  • Lastpage
    897
  • Abstract
    Based on Canny operator and mathematical morphology, a new cell-based method for extracting the edge, being crucial to subsequent target feature extraction and image matching recognition, has been discussed in this paper. The image edge of cell is estimated by the Canny algorithm and then mathematical morphology is used for dilation which filled the fracture of the edge, with that the internal pore of the cell image is filled. Finally, smoothing is operated by mathematical morphology. The experimental results demonstrate clearly that the proposed approach is more superior to the traditional differential operator and Canny edge detection method.
  • Keywords
    edge detection; feature extraction; image matching; mathematical morphology; Canny algorithm; cell-edge detection method; edge extraction; image matching recognition; mathematical morphology; target feature extraction; Feature extraction; Filtering algorithms; Image edge detection; Image segmentation; Morphology; Noise; Signal processing algorithms; Canny algorithm; cell edge detection; differential operator; mathematical Morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646890
  • Filename
    5646890