基于梯度向量特征提取的安瓿瓶外观检测方法.pdf

第28卷第4期
电子测量与仪器学报
Vol 28 No 4
2014年4月
JOURNAL OF ELECTRONIC MEASUREMEVT AND INSTRUMENTATION
387
D0:10.13382/j.jemi.2014.04.007
基于梯度向量特征提取的安瓿瓶外观检测方法
余小游胡小梅刘巨昌2陈超艳王晓春3詹茵茵
(1.湖南大学信息科学与工程学院长沙410082;2.浙江猛凌机电科技股份有限公司嘉兴314000;
3.中国人民解放军95899部队北京100086)
摘要:针对药品生产企业安瓿瓶可见异物自动检测设备对安瓿瓶外观的要求,提出一种高效的安瓿瓶外观检测方法。该
方法首先对所截取的瓶头数字图像进行中值滤波,然后利用 Roberts交叉算子进行图像增强,通过选取适当的國值将图像
分割成仪由瓶头边缘和肯景组成的二值化图像,最后利用梯度向量对边缘进行特征提取,通过分析中心和高度偏差特征来
评价安瓿瓶瓶头的对称性和扁平度。实验结果表明,该方法检测正确率达到97%,能够有效检测出安甑瓶常见的扁头、尖
头、泡头、瘪头、断头等玻璃瑕疵,所筛选出的安瓿瓶能很好地满足安瓿瓶可见异物自动检测设备对瓶头外观的要求。
关键词:外观检测;图像增强;图像分割;特征提取;梯度向量
中图分类号:TP2;TP391文献标识码:A国家标准学科分类代码:510.40
Ampoule bottle appearance detection method based on gradient vector features extraction
Yu Xiaoyou Hu X
Liu Juchang Chen Chaoyan Wang Xiaochun Zhan Yinyin
Information Science and Engineering College of Hu'nan University, Changsha 410082, China;
2. Zhejiang MENGLING Science and Technology of Machine and Electronics Limited Company, Jiaxing 31400, China;
3. The 95899 Troops of the People s Liberation Army of China, Beijing 100085, China
Abstract According to the requirements of ampoule bottle appearance for automatic devices used to detect visible
foreign matters in ampoule bottles of the drug production enterprises, a new method for ampoule bottle appearance
detection will be presented in this paper, which implement such detection by extracting the features of ampoule bot
tle appearance based on gradient vectors. Firstly, the median filter operation should be applied to the gray images of
the ampoule bottle head. Then the gray image will be transformed to a binary one which only includes the edge and
its background of the bottle head by select appropriate threshold after image enhancement which fulfilled by the Ro
berts-cross-operator. Finally, the edge features of the bottle head are extracted by gradient vectors, sequentially the
flatness and symmetry of the ampoule bottle head can be evaluated by analysis the center and height deviation. The
nlt of experiments shows that the approach presented in this paper can achieve correct detection rate of 97% and
can detect the glass defects effectively, such as flat head, sharp head, bubble head, sunken head, decapitated head
and other issues. The good ampoule bottles selected by this way can perfectly meet the demands of the automation
equipments for detecting visible foreign matter in ampoule bottles
Keywords: appearance detection; image enhancement; image division; feature extraction; gradient vector
定。规则的注射剂安瓿瓶外观是制药企业对药
剂量、澄明度等指标进行自动检测的基础。但在注
为保证药品安全,《中国药典》对人体注射剂射剂安瓿瓶灌封生产的过程中,经常由于这样或那
所用安瓿瓶的药剂量、澄明度等都有严格的规样的问题使安瓿瓶出现扁头、尖头、泡头、瘪头、断
收稿日期:2013-09 Received Date:2013-09
基金项目:国家自然科学基金(61371115)、湖南省高校创新平台基金(09K16)项月资助
万方数井