• DocumentCode
    3329552
  • Title

    Fuzzy technique for image enhancement using B-spline

  • Author

    Anzueto-Rios, A. ; Moreno-Cadenas, J.A. ; Gómez-Castañeda, F.

  • Author_Institution
    Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City, Mexico
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    869
  • Lastpage
    872
  • Abstract
    This paper presents an adaptable fuzzy algorithm for image enhancement. The method is based on the modification of the membership functions for minimizing the measure of fuzziness of an input image. The modification of the membership functions is used to denote the characteristic relationship between a group of pixels and its position inside a histogram. This consists in the optimization criterion of the contrast-enhancement procedure in an image. The experimental results are also presented to validate the proposed framework.
  • Keywords
    fuzzy set theory; image enhancement; splines (mathematics); B-spline; fuzzy set theory; fuzzy technique; image contrast-enhancement procedure; image enhancement; membership functions; Brightness; Fuzzy set theory; Fuzzy sets; Histograms; Image enhancement; Image processing; Pixel; Solid state circuits; Spline; Very large scale integration; B-spline; Measure of fuzziness; contrast-enhancement; fuzzy membership function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
  • Conference_Location
    Cancun
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-4479-3
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2009.5235904
  • Filename
    5235904