基于可见光波段成像的水果品质检测方法研究进展  

Research progresses in measurement of fruits' quality using the technology of optical wavelengths imaging

作　　者：黄伟锋[1] 唐宇[1] 姚鑫[1] 陈亚勇[1] 黄博烁 

机构地区：[1]仲恺农业工程学院自动化学院,广东广州510225

出　　处：《仲恺农业工程学院学报》2016年第1期67-71,共5页Journal of Zhongkai University of Agriculture and Engineering

基　　金：广东省公益研究与能力建设专项(2015A020209175;2015A020209179);"现代农业产学研协同育人基地"大学生创新训练计划;仲恺农业工程学院大学生创新基金(2015A12)资助项目

摘　　要：水果的外观特征是水果品质鉴定和分级的关键依据.近年来,机器视觉技术在水果品质检测领域得到广泛应用.根据应用现状,文章对基于可见光波段成像的机器视觉技术在水果大小形状、颜色、虫害及缺陷检测等方面的应用研究进展进行了综述,并对一些较新的先进算法在该领域的应用情况和发展趋势进行了介绍.Appearance features are key parameters for appraising and classifying fruits. In recent years, Machine Vision Technology has been widely applied in the field of fruits＇ quality detection. According to the present situation, Machine Vision Technologies, which used in size and figure detection, color detec- tion, insect pest and surface defects recognition, were reviewed in this paper. Moreover, the application and developing trend of new advanced algorithms were introduced, which can provide references for the further application in the aspect of fruits＇ quality detection.

关 键 词：水果 品质检测 可见光波段 成像 机器视觉技术 

分 类 号：S-03[农业科学] TN911.73[电子电信—通信与信息系统]