[1]
State Pharmacopeia Committee of China. Pharmacopoeia of the People's Republic of China [M]. Version 2. Beijing: Chemical Industry Press, 2005. (In Chinese).
Google Scholar
[2]
Xingui Huang. Technical Measures to Improve Packing Quality of Bottled Liquor [J]. Liquor-making Science & Technolosy, 2006, 143(5): 65-66. (In Chinese).
Google Scholar
[3]
Xudong Sun, Donghai Han. Food Safety &Detective Technology [J]. Global Food Industry, 2006, 1: 49-52. (In Chinese).
Google Scholar
[4]
Fugang Yang, Tongjing Sun, Songlin Song. Research on key technology of automatic pharmaceutical container inspection machine based on machine vision [J]. Chinese Journal of Scientific Instrument, 2008, 29(3): 562-566. (In Chinese).
Google Scholar
[5]
H. Yamazaki, T. Katane, H. Fukuda, etc. Inspection device and system for inspecting foreign matters in a liquid filled transparent container[P]. USA, 6937339, (2005).
Google Scholar
[6]
Fugang Yang, Tongjing Sun, Songlin Song. Artificial Immune Algorithm Based Particle Detection Method for Liquid in Pharmaceutical Container [J] Journal of Electronic Measurement and Instrument,2008, 22(1): 20-24. (In Chinese).
Google Scholar
[7]
Hui Zhang, Yaonan Wang, Bowen Zhou, etc. Development of healthy wine visible particle detection system based on machine vision [J]. Chinese Journal of Scientific Instrument, 2009, 30(5): 973-979. (In Chinese).
Google Scholar
[8]
Liang Wang. Study on the System of Filling Quality Monitoring of Beer Using Machine Vision [D]. Jiangsu University, 2009. (In Chinese).
Google Scholar
[9]
Kena Wang, Yaonan Wang, Juan Lu, etc. Research on the Detection and the Recognition System of Impurity in Transfusion Solution Based on Cam shift Algorithm and SVM [J]. Journal of Hunan University(Natural Sciences), 2009, 36(7): 41-45. (In Chinese).
Google Scholar
[10]
Weiqiang Yang. The Develop of the Detection System for Visual Foreign Substance Based on Image Sequence [D]. Wuhan University of Technology, 2010. (In Chinese).
Google Scholar
[11]
Huanjun Liu. Research on liquid intelligent inspection system using machine vision [J]. Computer Engineering and Applications,2010, 46(24):26-29. (In Chinese).
Google Scholar