华中科技大学学报（自然科学版）Issue(z1)：509-512,520,5.DOI:10.13245/j.hust.15S1121
苹果采摘机器人夜视图像的小波模糊阈值降噪
Night vision image de-noising method by wavelet fuzzy threshold application in apple harvesting robot
摘要
Abstract
In order to achieve the round-the-clock operation of apple harvesting robot,the relevant studies on the night vision image were studied.On the basis of the analysis of noise,the wavelet theo-ry was introduced into image processing system,using the wavelet threshold method for image noise reduction processing.Aiming at the potential disadvantages of threshold algorithm,through construc-ting fuzzy threshold functions,the wavelet fuzzy threshold de-noising algorithm was proposed.The experimental results show that,from the vision,the low noise images got by wavelet fuzzy threshold de-noising method are reduced sharply,and from the relative peak signal-to-noise ratio,the advantage of new de-noising method is obvious.The new method shows the unique advantages for the night vi-sion image noise reduction,and lays a solid foundation for the round-the-clock operation of apple har-vesting robot.关键词
采摘机器人/夜视图像/小波降噪/模糊阈值/人工光源/峰值信噪比Key words
harvesting robot/night vision image/wavelet de-noising/fuzzy threshold/artificial light/peak signal-to-noise ratio分类
信息技术与安全科学引用本文复制引用
贾伟宽,赵德安,刘晓洋,阮承治..苹果采摘机器人夜视图像的小波模糊阈值降噪[J].华中科技大学学报（自然科学版）,2015,(z1):509-512,520,5.基金项目
国家自然科学基金资助项目（61379101）；江苏省高校优势学科建设项目；高等学校博士学科点专项科研基金资助项目（20133227110024）；江苏省普通高校研究生科研创新计划资助项目（KYLX14-1062）． （）
