• DocumentCode
    557744
  • Title

    Image edge detection based on maximum variations

  • Author

    Lin, Qinghua ; Du, Min

  • Author_Institution
    Coll. of Electr. Eng. & Autom., Fuzhou Univ., Fuzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1256
  • Lastpage
    1258
  • Abstract
    Edge detection plays an important role in image processing. The classical gradient operators remain their few answers to little marked edges. An improved edge detection method based on maximum variations is presented in this paper. When detecting the edge, the algorithm enhances the variations at weak edge pixels, but doesn´t enhance the variations within an object. So the algorithm can detect the little marked edges in the image. The theory analysis and experiments also prove the present algorithm is reasonable and effective.
  • Keywords
    edge detection; gradient operators; image edge detection; image processing; maximum variations; weak edge pixels; Algorithm design and analysis; Detection algorithms; Educational institutions; Feature extraction; Image edge detection; Signal processing algorithms; Algorithm; Edge Detection; Little Marked Edge; Maximum Variations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100420
  • Filename
    6100420