水果表面全真图像采集技术研究进展  

Research Progress of the Whole and Precise Image Acquisition Technology of Fruit Surface

作　　者：刘婷[1] 张绍英[1] 王叶群[1] 

机构地区：[1]中国农业大学工学院,北京100083

出　　处：《农机化研究》2018年第2期1-6,共6页Journal of Agricultural Mechanization Research

基　　金：国家重点研发计划项目(2016YFD0400305)

摘　　要：水果表面信息既反映外观和结构特征,在一定程度上还反映内在品质,常作为机器视觉分级的依据,获取水果表面全真信息是保障机器视觉分级效果的基础和关键。为此,对水果表面信息特点及成像要求、现有水果表面信息采集方法、技术原理及采集信息质量进行了分析,并针对水果的生物学特性和分级作业要求,对表面信息采集环节亟待解决的信息缺失和失真问题提出了进一步的建议和设想。Fruit surface information reflects both the appearance and the structure,to some extent,also reflects internal quality. It＇s often used as a basis for classification based on machine vision. It＇s the basic and key to acquire the full and precise information to guarantee the effects of fruit surface grading based on the machine vision. This paper presents a analysis on the characteristics of the fruit surface and requirements for imaging,the existing methods of acquiring the fruit surface information,principles and the quality of the collected information. And based on the biological characteristics of the fruits and classification requirements,some further suggestions and ideas of missing and distortion unsolved are suggested.

关 键 词：水果分选 机器视觉 表面图像 

分 类 号：S233.74[农业科学—农业机械化工程]