文章摘要
陈露,程红,秦帅,刘星,吴习宇.基于机器视觉的红酒灌装品质检测[J].包装工程,2017,38(9):146-150.
CHEN Lu,CHENG Hong,QIN Shuai,LIU Xing,WU Xi-yu.Filling Quality Detection of Wine Base on Machine Vision.Packaging Engineering,2017,38(9):146-150.
基于机器视觉的红酒灌装品质检测
Filling Quality Detection of Wine Base on Machine Vision
投稿时间:2016-09-30  修订日期:2017-05-10
DOI:
中文关键词: 机器视觉  红酒包装检测  液位  杂质
英文关键词: machine vision  detection of wine packaging  liquid level  impurity
基金项目:国家星火计划(2013GA811001);中央高校基本科研业务费项目(XDJK2015C137)
作者单位
陈露 西南大学重庆 400716 
程红 西南大学重庆 400716 
秦帅 西南大学重庆 400716 
刘星 西南大学重庆 400716 
吴习宇 西南大学重庆 400716 
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中文摘要:
      目的 对红酒灌装后液位、杂质、瓶体裂纹等进行快速检测。方法 运用机器视觉技术,选择合理的检测器件,构建红酒灌装品质的机器视觉检测系统,并利用Matlab R2015a软件设计液位、杂质与裂纹的算法程序,采用竖直方向上Sobel算子检测液位,采用差影法检测杂质与裂纹。结果 通过Soble算子边缘检测对红酒灌装后的液位检测识别率为97%,差影法对瓶内杂质检测识别率为98%。结论 该实验对于红酒灌装后的液位和杂质检测具有一定的可操作性。
英文摘要:
      The work aims to quickly detect the liquid level, impurities and bottle cracks, etc. after the wine filling. Machine vision technology was used and an appropriate detection device was chosen to build a machine vision inspection system for wine filling quality. The algorithm procedures were designed by using Matlab R2015a software to detect the liquid level, impurities and cracks. Sobel operator in the vertical direction was utilized to detect liquid level. Background subtraction method was adopted to detect impurities and cracks. The recognition rate of liquid level measurement was 97% by means of Sobel operator edge detection after wine filling. After the detection of impurities in the bottle in background subtraction method, the recognition rate was 98%. The experiment has certain operability in detecting the liquid level and impurities after wine filling.
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