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
Link To Document :
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