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.
Abstract
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 im-age 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.
基金项目
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)
维普
万方数据