Research Progress of Machine Vision in Wheat Flour Processing Accuracy Detection
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.
万方数据
维普
