• DocumentCode
    3076446
  • Title

    An Improved Image Enhancement Algorithm Based on Fuzzy Sets

  • Author

    ShiWei, Tang ; Guofeng, Zu ; Mingming, Nie

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    197
  • Lastpage
    199
  • Abstract
    An improved algorithm is brought out in this paper in order to overcome the shortcomings of the traditional Pal-King image enhancement algorithm based on fuzzy sets. A new membership function and fuzzy-enhancement operator is reconstructed in the improved algorithm based on the analysis and research on Pal-King fuzzy-enhancement algorithm. At the same time simulation experiments are carried out. The results show that the improved algorithm effectively overcomes the shortcomings of the Pal-King fuzzy-enhancement algorithm, and guaranties the overall effect of image enhancement, and retains the edge information of the low gray value in the image and improves the efficiency of the algorithm at the same time. Therefore, the improved algorithm in this paper is an effective and efficient image enhancement algorithm based on fuzzy sets.
  • Keywords
    edge detection; fuzzy set theory; image enhancement; Pal-King image enhancement algorithm; edge information; fuzzy sets; fuzzy-enhancement operator; low gray value; Algorithm design and analysis; Fuzzy sets; Histograms; Image edge detection; Image enhancement; Image segmentation; Iron; fuzzy set; fuzzy-enhancement operator; image enhancement; low gray value; membership function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.219
  • Filename
    5635124