A glass bottle defect detection system without touching

Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2002, Pages 628-632

  Ma, Hui Min ^a   Su, Guang Da ^a   Wang, Jun Yan ^a   Ni, Zheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Bottle mouth defect; Bottleneck crack; Defect recognition; Glass bottle; Remote detection

Indexed keywords

AUTOMATION; DEFECTS; GLASS BOTTLES; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; PRODUCTION; VIDEO CAMERAS;

GLASS BOTTLE DEFECT DETECTION SYSTEM; IMAGE ORIENTATION; REMOTE DETECTION SYSTEM;

PATTERN RECOGNITION SYSTEMS;

EID: 0036921275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Newsletter. Quality control and inspection. http://www.ttnt.de/download/qci3.pdf, 2000.
2. J. Mulliner, G. Folkins. Making measurements with vision. http://www.eetasia.com/articles, National Instruments, 2002.
3. C. Firmin, D. Hamad, J. G. Postaire. Fault detection by a Gaussian neural network with rejects options in glass bottle production. SPIE Proceedings Vol. 2785, pp. 152-162, 1996.
4. D. Behar, J. Cheung, Ludwik Kurz. Contrast Techniques for Line Detection in a Correlated Noise Environment. IEEE Transactions on Image Processing, T-IP (6), pp. 625-641, 1997.
5. Y. Li, T. W. Liao, Weld defect detection based on gaussian curve. Proceedings of the 28th Southeastern Symposium on System Theory (SSST '96), 1996.
6. V. Kamat-Sadekar, S. Ganesan. Complete description of multiple line segments using the Hough transform. Image and Vision Computing, vol. 12: pp.597-613, 1998.
7. COGNEX. Machine vision sensors. Summer 2002. http://www.cognex.com/pdf/insight, 2002.