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基于机器视觉的红酒灌装品质检测
陈露, 程红, 秦帅, 刘星, 吴习宇
西南大学,重庆 400716
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。
关键词:  机器视觉  红酒包装检测  液位  杂质
DOI:
分类号:
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)
Filling Quality Detection of Wine Base on Machine Vision
CHEN Lu, CHENG Hong, QIN Shuai, LIU Xing, WU Xi-yu
Southwest University, Chongqing 400716, China
Abstract:
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.
Key words:  machine vision  detection of wine packaging  liquid level  impurity

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