Automated visual inspection for microdrills in printed circuit board production

International Journal of Production Research

Volumn 42, Issue 12, 2004, Pages 2477-2495

  Tien, F C ^a,c   Yeh, C H ^a   Hsieh, K H ^b  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^c NONE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DIFFRACTION; DRILLING; INSPECTION; PRINTED CIRCUIT BOARDS; ROBUSTNESS (CONTROL SYSTEMS);

IMAGE SUBTRACTION; INSPECTION PROCESS; MICRODRILLING; VISUAL INSPECTION;

PRODUCTION ENGINEERING;

EID: 2942527128     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540310001659656     Document Type: Article

References (31)

1. ASADA, H. and BRADY, M., 1986, The curvature primary sketch. IEEE Transaction on Pattern Analysis and Machine Intelligence, PAMI-8, 2-14.
2. BANDERA, A., URDIALES, C., ARREBOLA, F. and SANDOVAL, F., 1999, 2D object recognition based on curvature functions obtained from local histograms of the contour chain code. Pattern Recognition Letters, 20, 49-55.
3. CHANG, C. A., CHEN, L.-H. and KER, J.-I., 1991, Efficient measurement procedures for compound part profile by computer vision. Proceedings of the 13th Annual Conference on Computers and Industrial Engineering, Computers Industrial Engineering, 21, pp. 375-377.
4. CHANG, C. A., LIN, H.-D. and CHEN, L.-H., 1992, Profile segmentation and merging for automated measurement by computer vision. First Industrial Engineering Research Conference Proceedings, pp. 383-387.
5. CHIN, R. T., 1988, Automated visual inspection (1981-1987). Computer Vision and Image Processing, 41, 346-381.
6. CHIN, R. T. and HARLOW, C. A., 1982, Automated visual inspection: a survey. IEEE Transaction on Pattern Analysis and Machine Intelligence, PAMI-4, 557-573.
7. CONG, G. and MA, S., 1998, Corner enhancement in curvature scale space. Pattern Recognition, 31, 1491-1501.
8. GILLE, G., SZESNY, B., DREYER, K., VAN DEN BERG, H., SCHMIDT, J., GESTRICH, T. and LEITNER, G., 2002, Submicron and ultrafine grained hardmetals for microdrills and metal cutting inserts. International Journal of Refractory Metals and Hard Materials, 20, 3-22.
9. GONZALEZ, R. C. and WOODS, R. E., 1992, Digital Image Processing (Reading, MA: Addison-Wesley).
10. HAZRA, L., KATO, H., KIRYU, T., HASHIMOTO, Y., KURODA, T., TSUCHIYA, Y. and SAKUMA, I., 2002, Inspection of reground drill point geometry using three silhouette images. Journal of Materials Processing Technology, 127, 169-173.
11. HAZRA, L., NAKAMURA, R., KURODA, T., KATO, H., TSUCHIYA, Y. and SAKUMA, I., 1996, Assessment of drill point geometry by genetic algorithm and steepest gradient method. Annual Proceedings of the American Society of Precision Engineering, 14, 172-175.
12. HINDS, B. K. and TREANOR, G. M., 2000, Analysis of stresses in micro-drills using the finite elements method. International Journal of Machine Tools and Manufacture, 40, 1443-1456.
13. KER, J. I., 1989, Automated profile inspection methods by computer vision methods. PhD dissertation, Department of Industrial Engineering, University of Missouri-Columbia.
14. KUANG, C. C., 2000, Intelligent microdrill inspection system. MSc thesis, National Taiwan University of Technology.
15. LAHAJNAR, F., BERNARD, R., PERNUS, F. and KOVACIC, S., 2002, Machine vision system for inspecting electric plates. Computers in Industry, 47, 113-122.
16. LEE, H. K. and YOO, S. I., 1999, A method for inspection of ball bonds in integrated circuits. IEEE International Conference on Systems, Man, and Cybernetics, 2, pp. 975-980.
17. MOKTARIAN, F. and MACWORTH, A., 1992, A theory of multiscale curvature-based shape representation for planar curves. IEEE Transaction on Pattern Analysis and Machine Intelligence, PAMI-14, 789-805.
18. NEWMAN, T. S. and JAIN, A. K., 1995, A survey of automated visual inspection. Computer Vision and Image Understanding, 61, 231-262.
19. PANDYA, A. S. and MACY, R. B., 1996, Pattern Recognition with Neural Networks in C++ (Boca Raton, FL: CRC Press).
20. ROSENFELD, A. and JOHNSON, E., 1973, Angle detection on digital curves. IEEE Transactions on Computers, 875-878.
21. ROSENFELD, A. and JOHNSON, E., 1975, An improved method of angle detection on digital curves. IEEE Transactions on Computers, 940-941.
22. SANBY, C., NORTON-WAYN, L. E. and HARWOOD, R., 1995, The automated inspection of lace using machine vision. Mechatronics, 5, 215-231.
23. SÁNCHEZ-MARÍN, F. J., 2000, Automatic recognition of biological shapes with and without representations of shape. Artificial Intelligence in Medicine, 18, 173-186.
24. SHAW, M., 1989, Metal Cutting Principles (Oxford: Clarendon).
25. TEH, C. H. and CHIN, R. T., 1989, On the detection of dominant points of digital curves. IEEE Transaction on Pattern Analysis and Machine Intelligence, PAMI-11, 859-872.
26. THOMAS, A. D. H., ROOD, M. G., HOLT, J. D. and NEILL, C. J., 1995, Real-time industrial visual inspection: a review. Real-Time Image, 1, 139-158.
27. TIEN, F.-C., 1998, Break point detection by K-curvature. Chinese IIE Annual Conference, Kaoshung, ROC, pp. 388-393.
28. URDIALES, C., BANDERA, A. and SANDOVAL, F., 2002, Non-parametric planar shape representation based on adaptive curvature functions. Pattern Recognition, 35, 43-53.
29. VAN OTTERLOO, P., 1991, A Contour-oriented Approach to Shape Analysis (Harlow, UK: Prentice Hall).
30. WANG, M. J., WU, W. Y. and HSU, C. C., 2002, Automated post bonding inspection by using machine vision techniques. International Journal of Production Research, 40, 2835-2848.
31. WU, W. Y., WANG, M. J. and LIU, C. M., 1996, Automated inspection of printed circuit boards through machine vision. Computers in Industry, 28, 103-111.