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《Journal of Electronic Measurement and Instrument》 2010-02
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Research on automatic visual inspection method and system for foreign substances in medicine transfusion liquid

Zhang Hui Wang Yaonan Zhou Bowen Ge Ji (Department of Control Science and Engineering Hunan University, Changsha 410082, China)  
Compared with traditional medicinal solution foreign substance inspection manually, on-line machine vision inspection method has tremendous superiority. Therefore an automation inspection system based on machine vision is presented. Firstly, the mechanical structure and electrical control system are designed, the image acquiring device for high speed and high precision medicine product line is developed. Secondly, according as substances successive moving, the inspection method which employ an improved mean shift tracking algorithm is proposed based on a sequence images for transfusion liquid. Thirdly, choose 100ml 10% dextrose transfusion mixed in glass bottle as object, a detection rate of 95% at least is experimentally achieved for China pharmacopoeia. Experiment results demonstrate the proposed system can satisfy the requirement of medicine product line.
【Fund】: 国家863计划(编号:2007AA04Z244)资助项目;; 国家自然科学基金(编号:60835004)资助项目;; 湖南省研究生科研创新(编号:CX2009B0703)资助项目
【CateGory Index】: TP274.4
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