• DocumentCode
    2839900
  • Title

    Application of adaptive hybrid filter algorithm in solar battery panels X-Ray Real-time-image system

  • Author

    Li, Zhaoyue ; Ma, Yue

  • Author_Institution
    Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    4355
  • Lastpage
    4358
  • Abstract
    Aiming at the problem of using traditional and single filtering method to remove mixed impulse noise and Gaussian noise, an adaptive hybrid filter algorithm based on the adaptive weighted median filter and the Gauss weighted mean filter is presented. The algorithm first detects the type of the noise and then applies the adaptive weighted median filter and the Gauss weighted mean filter to removing impulse noise and Gaussian noise, respectively. Finally the above-mentioned solution is used in solar battery panels X-Ray real-time image system. The result of experiment proves that this method has a good effect on filtering impulse noise mixed Gaussian noise.
  • Keywords
    Gaussian noise; X-ray imaging; adaptive filters; impulse noise; median filters; solar cells; Gauss weighted mean filter; Gaussian noise; adaptive hybrid filter algorithm; adaptive weighted median filter; mixed impulse noise; solar battery panels; x-ray real time image system; Adaptive filters; Batteries; Filtering algorithms; Gaussian noise; Noise reduction; Photovoltaic cells; Pixel; X-ray detection; X-ray detectors; X-ray imaging; Adaptive Hybrid Filter; Noise Detection; Solar Battery Panels; X-Ray Real-Time-Image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498355
  • Filename
    5498355