• DocumentCode
    530594
  • Title

    An improved algorithm of image edge detection based on grey prediction model

  • Author

    Tong-Li, He ; Jian-Hong, Gan

  • Author_Institution
    Math Dept., Chengdu Inst. of Inf. Eng., Chengdu, China
  • Volume
    5
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    107
  • Lastpage
    110
  • Abstract
    With conventional edge detection algorithms, the shortcomings of undetected and artificial information will happen. An improved method based on grey prediction model is proposed to improve the performance of image edge detection considerably, and the corresponding experiments is carried out. The results show that the algorithm can effectively detect the edge of images, while retaining more vivid image details, comparing to the traditional algorithm. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
  • Keywords
    edge detection; grey systems; grey prediction model; image analysis; image edge detection; Gallium nitride; Image edge detection; Predictive models; GM(1,1) model; edge detection; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610043
  • Filename
    5610043