亲亲肠残次品在线视觉检测识别方法  

An online visual detection and identification method for the defective of Qinqinchang

作　　者：党国辉 王永强[1] 周聪玲[1] DANG Guo-hui;WANG Yong-qiang;ZHOU Cong-ling(College of Mechanical Engineering,Tianjin University of Science&Technology,Tianjin 300222,China)

机构地区：[1]天津科技大学机械工程学院,天津300222

出　　处：《食品与机械》2022年第12期92-98,共7页Food and Machinery

摘　　要：目的:研究亲亲肠生产过程中常见外观缺陷的自动检测方法。方法:采用CMOS相机在线获取亲亲肠产品的图像信息,应用图像处理技术对产品外观缺陷特征进行提取并分析缺陷种类。结果:应用该在线检测方法对亲亲肠常见外观缺陷检测的准确率在97.2%以上。结论:该检测方法简单,实际应用前景广阔。Objective:This study aimed to study the automatic detection method of common appearance defects in the production process of Qinqinchang.Methods:CMOS camera was used to obtain the image information of the product online,and image processing technology was used to extract the appearance defect features of the product and analyze the types of defects.Results:The accuracy rate of the online detection method for the common appearance defects of kissing intestines was 97.2%.Conclusion:The method is simple and has broad application prospect.

关 键 词：亲亲肠 机器视觉 图像处理 在线检测 

分 类 号：TS251.7[轻工技术与工程—农产品加工及贮藏工程] TP391.41[轻工技术与工程—食品科学与工程]