红外技术
紅外技術
홍외기술
INFRARED TECHNOLOGY
2014年
3期
196-199,204
,共5页
水果图像%颗粒噪声%小波域双边滤波算法%改进自适应双边滤波算法%改进加权中值滤波算法
水果圖像%顆粒譟聲%小波域雙邊濾波算法%改進自適應雙邊濾波算法%改進加權中值濾波算法
수과도상%과립조성%소파역쌍변려파산법%개진자괄응쌍변려파산법%개진가권중치려파산법
fruit images%salt&pepper noise%Bilateral filtering algorithm in wavelet transform domain%improved adaptive bilateral filtering algorithm%improved weighted median filtering algorithm
采用机器人实现水果的自动化精确采摘是现代水果采摘技术发展的基本趋势之一。但由于成像条件以及机器人自身电子电路等因素的影响，使得所获取的图像或多或少存在大量噪声。将小波变换与双边滤波算法有机结合，提出了一种针对水果图像中颗粒噪声的滤波算法。该算法首先对噪声图像实现小波分解，对于各高频子图像，给出了相似像素的基本定义并分别设计出尺寸为5的多方向的相似像素检测窗口；然后根据检测窗口中相似像素的个数与检测窗口全部像素点个数的比值大小，分别采用自适应双边滤波算法和改进加权中值滤波算法加以处理。最后实现小波系数重构。实验仿真结果表明，该滤波算法性能优于双边滤波算法以及小波域双边滤波算法，对于农产品视觉图像、基于流媒体技术设施现场采集的图像处理等领域也具有一定的参考价值。
採用機器人實現水果的自動化精確採摘是現代水果採摘技術髮展的基本趨勢之一。但由于成像條件以及機器人自身電子電路等因素的影響，使得所穫取的圖像或多或少存在大量譟聲。將小波變換與雙邊濾波算法有機結閤，提齣瞭一種針對水果圖像中顆粒譟聲的濾波算法。該算法首先對譟聲圖像實現小波分解，對于各高頻子圖像，給齣瞭相似像素的基本定義併分彆設計齣呎吋為5的多方嚮的相似像素檢測窗口；然後根據檢測窗口中相似像素的箇數與檢測窗口全部像素點箇數的比值大小，分彆採用自適應雙邊濾波算法和改進加權中值濾波算法加以處理。最後實現小波繫數重構。實驗倣真結果錶明，該濾波算法性能優于雙邊濾波算法以及小波域雙邊濾波算法，對于農產品視覺圖像、基于流媒體技術設施現場採集的圖像處理等領域也具有一定的參攷價值。
채용궤기인실현수과적자동화정학채적시현대수과채적기술발전적기본추세지일。단유우성상조건이급궤기인자신전자전로등인소적영향，사득소획취적도상혹다혹소존재대량조성。장소파변환여쌍변려파산법유궤결합，제출료일충침대수과도상중과립조성적려파산법。해산법수선대조성도상실현소파분해，대우각고빈자도상，급출료상사상소적기본정의병분별설계출척촌위5적다방향적상사상소검측창구；연후근거검측창구중상사상소적개수여검측창구전부상소점개수적비치대소，분별채용자괄응쌍변려파산법화개진가권중치려파산법가이처리。최후실현소파계수중구。실험방진결과표명，해려파산법성능우우쌍변려파산법이급소파역쌍변려파산법，대우농산품시각도상、기우류매체기술설시현장채집적도상처리등영역야구유일정적삼고개치。
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.
