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Australian Journal of Mechanical Engineering Volume 16, 2018 - Issue sup1: Selected papers from the 14th Global Congress on Manufacturing and Management 2018 (GCMM 2018)
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Articles

Research on glass surface quality inspection based on machine vision

Xiaomian LiDepartment of Mechanical and Electrical Engineering, DongGuan Polytechnic, DongGuan, China;DongGuan,Polytechnic, Guangdong Textile Industry Intelligent Detection Engineering Technology Research Center (DGPT), DongGuan, China
&
Yufeng ShuDepartment of Mechanical and Electrical Engineering, DongGuan Polytechnic, DongGuan, China;DongGuan,Polytechnic, Guangdong Textile Industry Intelligent Detection Engineering Technology Research Center (DGPT), DongGuan, ChinaCorrespondence[email protected]
Pages 98-104 | Published online: 28 Nov 2018

References

  • Chen, Y. S. 2010. Research on Strip Surface Defect Detection System Based on Machine Vision [D]. Wuhan University of Science and Technology.
  • Dong, B. Q. 2013. Key Technology Research of Steel Surface Defect Detection System Based on Machine Vision [D]. Zhejiang Sci-Tech University.
  • Dong, X. F.,Y. H. Zhen, Y. L. Sheng, X. Y. Xiang. 2014. “Research on Semiconductor Surface Defect Detection Based on Machine Vision [J]”. Measurement Technology (5): 22–24.
  • He Y. Z., B. Wang. 2011. “Machine Vision Based Liquid Crystal Substrate Surface Defect Detection System [J]”. Modern Computer (11): 63–65.
  • Li, X. F. 2014. Research on Optical Imaging and Image Processing of Spray Molded Parts Based on Machine Vision [D]. South China University of Technology.
  • Liu K., N. J. Chen, X. Y. Zhang, H. Y. Chen, H. X. Sun. 2015. “Design of Strip Surface Defect Detection System Based on Machine Vision [J]”. Manufacturing Automation (12): 134–137.
  • Peng X., Y. P. Chen, W. Y. Yu. 2007. “Machine Vision Based Online Quality Inspection System for Float Glass [J].” Automation of Manufacturing Industry 29 (12): 50–52.
  • Shen, G. L. 2016. Machine Vision-Based Surface Defect Detection Method for Permanent Magnet Rotor [D]. University of Electronic Science and technology.
  • Wang C., J. J. Gao. 2013. “On Line Inspection and Research of Surface Quality in Bearing Production Based on Machine Vision [J]”. Machine Tool and Hydraulic Pressure (19): 53–55.
  • Wang F., F. K. Cui, J. T. Liu, F. S. Zhang. 2009. “Research on Glass Surface Defect Detection System Based on Machine Vision [J].” Glass and Enamel 37 (5): 6–10.
  • Wang F., F. K. Cui, J. T. Liu, F. S. Zhang. 2010. “Research on an On-Line Inspection System for Flat Glass Defects [J].” Applied Optics 31 (1): 95–99.
  • Wu B., W. Xing. 2012. Research on Machine Vision Based High Precision Online Detection System for Surface Defects of Metal Parts [C]. Chinese society of artificial intelligence.
  • Xie, S. B. 2016. Research on Some Technical Problems of Glass Surface Quality Detection Based on Machine Vision [D]. Zhejiang University.
  • Yi S. M., J. S. Cheng, Y. Zhou, Y. P. Chen. 2007. “A Machine Vision Based On-Line Quality Inspection System for Glass [J].” Journal of Wuhan University of Technology 29 (5): 23–26.
  • Zhang, Y. T. 2015. Machine Vision-Based Inspection of Key Dimensions and Surface Quality of Permanent Magnet Rotors [D]. University of Electronic Science and technology.
  • Zhao H. Y., X. H. Feng, J. Y. Xue, X. Y. Jiang. 2000. “Analysis and Detection of the Surface Quality of Ceramic Tiles Based on Machine Vision [J].” Journal of Xi’an University of Architecture and Technology (NATURAL SCIENCE EDITION) 32 (1): 43–46.
  • Zhao, L. P. 2017. Automatic Detection and Recognition of Silicon Steel Strip Surface Defects Based on Machine Vision [D]. Donghua University.
  • Zheng, S. Y. 2011. “Automatic Inspection System for Jewelry Box Surface Quality Based on Machine Vision [J].” Mechanical Engineer, no. 10: 10–13.
  • Zhou, T. 2015. Research on Quality Inspection Method and System of Micro Parts Based on Machine Vision [D]. Shenzhen University.

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