基于数字图像识别技术的玻璃缺陷在线监测实验系统研究  

Research on Experimental System of Glass Defects Online Monitoring Based on Digital Image Recognition Technology

作　　者：高敬媛[1] 童夏敏[1] 姚宏[1] Gao Jingyuan;Tong Xiamin;Yao Hong(Hebei Construction Materials Vocational and Technical College,Qinhuangdao Hebei 066000,China)

机构地区：[1]河北建材职业技术学院,河北秦皇岛066000

出　　处：《信息与电脑》2020年第7期122-124,共3页Information & Computer

基　　金：秦皇岛市科学技术局(项目编号:201703A017)。

摘　　要：玻璃缺陷在线自动检测能够有效实现玻璃的质量把控,是对玻璃质量控制的有效手段。通过数字图像识别技术的应用,能够更好对玻璃缺陷进行在线监测,在降低人工劳动强度的同时实现了玻璃缺陷的有效识别。笔者基于数字图像识别技术的玻璃缺陷在线监测实验系统进行研究,希望可以为提升玻璃质量提供借鉴。Automatic detection of glass defects on line can effectively control the quality of glass,and is an effective means of glass quality control.Through the application of digital image recognition technology,the glass defects can be better monitored online,and the effective recognition of glass defects can be realized at the same time of reducing the labor intensity.Based on the digital image recognition technology,the author studies the glass defect on-line monitoring experimental system,hoping to provide reference for improving the quality of glass.

关 键 词：玻璃缺陷 在线监测 数字图像识别 

分 类 号：TQ171.65[化学工程—玻璃工业]