• DocumentCode
    3075991
  • Title

    A New Filter Algorithm of Image Based on Fuzzy Logical

  • Author

    Zhang Hong-qiao ; Ma Xin-jun ; Wu Ning

  • Author_Institution
    Shenzhen Grad. Sch., Sch. of Mech. Eng. & Autom., Harbin Inst. of Technol., Shenzhen, China
  • fYear
    2011
  • fDate
    16-17 July 2011
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    Image denoising by using the filter algorithm is a basic problem which we would meet during the image processing. The mean filter is normally used to reduce Gaussian noise, but it is not effective to the impulse noise. While the median filter is good for reducing the impulse noise but is not well-worked for Gaussian noise. Based on the idea of fuzzy logical, this essay proposes a new kind of filter, the fuzzy filter, which could deal with the two types of noise above to some extent. Finally, according to the experiment data, we have evaluated the performance of the fuzzy filter comparing with the traditional filters and the result is acceptable.
  • Keywords
    Gaussian noise; fuzzy logic; image denoising; impulse noise; median filters; Gaussian noise; fuzzy filter; fuzzy logical; image denoising; impulse noise; mean filter; median filter; performance evaluation; Equations; Filtering algorithms; Gaussian noise; Mathematical model; Maximum likelihood detection; Nonlinear filters; filter algorithm; fuzzy logic; image denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Society (ISCCS), 2011 International Symposium on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4577-0644-8
  • Type

    conf

  • DOI
    10.1109/ISCCS.2011.91
  • Filename
    6004449