机器视觉在小麦粉加工精度检测中应用的研究进展  

Research Progress of Machine Vision in Wheat Flour Processing Accuracy Detection

作　　者：陈卫东[1,2] 刘超 王莹 范冰冰 Chen Weidong;Liu Chao;Wang Ying;Fan Bingbing(College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001;National Engineering Research Center of Grain Storage and Transportation,Zhengzhou 450001)

机构地区：[1]河南工业大学信息科学与工程学院,郑州450001 [2]粮食储运国家工程研究中心,郑州450001

出　　处：《中国粮油学报》2024年第10期226-234,共9页Journal of the Chinese Cereals and Oils Association

基　　金：财政部和农业农村部国家现代农业产业技术体系资助项目(CARS-03)。

摘　　要：小麦粉加工精度是关系小麦粉产量、质量以及市场价格的重要指标。机器视觉检测技术作为一种无损、快速、低成本的检测方法已得到广泛应用,本文介绍了机器视觉检测系统典型硬件结构,分析了小麦粉加工精度检测中的图像处理流程,着重探讨了机器学习算法在小麦粉加工精度等级分类方面的应用与发展,总结了机器视觉技术在小麦粉加工精度检测中的优势与不足,并对未来研究方向进行了展望。The processing degree of wheat flour is an important indicator related to wheat flour yield,quality and market price.The traditional wheat flour processing degree detection method has many shortcomings,such as low manual operation efficiency and low accuracy,and machine vision inspection technology has been widely used as a non-destructive,fast and low-cost detection method.Through the study of relevant literature,it can be found that the production efficiency and quality stability of wheat flour can be greatly improved by introducing visual inspection technology.In this paper,the typical hardware structure of machine vision inspection system was introduced,the image processing technology in wheat flour processing degree detection was analyzed,the application and development of machine learning and deep learning models in wheat flour processing degree grade classification were focused on,the advantages and disadvantages of machine vision technology in wheat flour processing degree was summarized,and the future research direction was outlooked to provide reference for relevant researchers.

关 键 词：小麦粉 加工精度 智能检测 机器视觉 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]