• DocumentCode
    2986767
  • Title

    Image Local Contrast Enhancement Based on Grey Relational Analysis

  • Author

    Li Gang

  • Author_Institution
    Sch. of Sci., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper described a new method based on the Grey relational analysis (GRA) for image local contrast enhancement. With regard to the drawbacks of the traditional image local enhancement, we firstly took advantage of the GRA to evaluate the mean edge gray value in the window of the neighborhood instead of using other conventional edge detection operator, and adjusted the contrast enhancement function domain in order to enhance the edge and at the same time prevent the smooth region in image becoming rough. The experiment and simulation results show that the new algorithm outperforms the classic approaches, can get a better effect. Moreover, the proposed method herein widens the use of GRA scope, and has provided us with a new way to image enhancement.
  • Keywords
    edge detection; grey systems; image enhancement; edge detection operator; grey relational analysis; image local contrast enhancement; Context modeling; Detectors; Gray-scale; Histograms; Humans; Image analysis; Image edge detection; Image enhancement; Image processing; Paper technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374554
  • Filename
    5374554