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《Infrared Technology》 2014-03
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A New Improved Bilateral Filtering Algorithm for the Fruit Image Based on Wavelet Transform Domain

LIU Bing-liang;Hunan Vocational Institute of Technology;  
Using automatic picking robot to pick up agricultural products is one of the basic trends of modern agricultural development.Because of the imaging conditions and the influence of such factors as robot electronic circuit,such factors make the image be polluted by some kinds of noise.Wavelet transform and the adaptive bilateral filtering algorithm are combined,and a new adaptive filtering algorithm against the noise in apple images is put forward.Firstly,the noise image is conducted wavelet decomposition,the basic definition of similar pixels is given and the similar pixels detection windows are designed so as to deal with the high frequency wavelet coefficients.Then according to the number of similar pixels in detection windows and the ratio of total number of pixels size in detection windows,the adaptive bilateral filtering algorithm and the improved weighted median filer algorithm are used to deal with the high-frequency wavelet coefficients.The simulation results show that the performance of the filtering algorithm in this paper is better than that of bilateral filtering algorithm and Bilateral filtering algorithm in wavelet transform domain.This filtering algorithm has some certain reference value for the visual images of agriculture,facilities on site collection of image processing on streaming media technology and other fields.
【Fund】: 湖南省职业院校教育教学改革研究项目一般课题 编号:ZJB2012054
【CateGory Index】: TP391.41
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