On-line Detection of Foreign Substances in Glass Bottles Filled with Transfusion Solution through Computer Vision
In this paper,a real time computer vision system was developed to detect a glass bottle filled with transfusion solu-tion on a packing line.The theory,the mechanical structure,and the detection algorithm are described.Foreign substances mixed in transfusion solution are distinguished from bottle side wall defects by a relative movement between a resting bottle and the inside moving solution.Foreign objects moving down in the bottle are first detected with background subtracting,where a normal-ized cross correlation is employed to identify two frames between which no moving objects overlap and the static back-ground is obtained through an inter-frame difference.In the second stage, falling objects are recognized through an adapted mean-shift tracker,in which an adaptive searching window is used to only find falling objects.The system was tested on 250-ml transfusion bottles.The result shows that it can effectively detect the small visible foreign substances fulfilling the requirements of the appli-cation.
Juan Lu Yaonan Wang Jie Zhang Bowen Zhou
Department of Electrical and Information Engineering Hunan University Changsha,Hunan Province,China
国际会议
2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)
张家界
英文
424-429
2008-06-20（万方平台首次上网日期，不代表论文的发表时间）