Flaw detection of cylindrical surfaces in PU-packing by using machine vision technique

Measurement: Journal of the International Measurement Confederation

Volumn 42, Issue 7, 2009, Pages 989-1000

  Chiou, Yih Chih ^a   Li, Wei Chen ^a  

^a CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

Automatic optical inspection; Flaw detection; Line scan; Sealing elements

Indexed keywords

ABSOLUTE DIFFERENCE; AFTER-IMAGES; AIR BUBBLES; AUTOMATIC OPTICAL INSPECTION; BOTTOM SURFACES; CO-ORDINATE TRANSFORMATION; CYLINDRICAL SURFACE; FALSE NEGATIVE RATE; FALSE POSITIVE RATES; FLAW DETECTION; GRAY SCALE; HIGH DEMAND; INSPECTION METHODS; INSPECTION TIME; LED BACKLIGHT; LINE SCAN; MACHINE-VISION; PROJECTION METHOD; SEALING ELEMENTS; TWO-LINE;

CAMERAS; COMPUTER VISION; CONCRETE BRIDGES; LEAKAGE (FLUID); MACHINERY; OPTICAL TESTING;

INSPECTION;

EID: 67349153859     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2009.02.006     Document Type: Article

References (17)

1. Pham D.T., Jennings N.R., and Ross I. Intelligent visual inspection of valve-stem seals. Control Engineering Practice 3 9 (1995) 1237-1245
2. Pham D.T., and Bayro-Corrochano E.J. Neural networks for classifying surface defects on automotive valve stem seals. International Journal of Machine Tools and Manufacture 35 8 (1995) 1115-1124
3. D.T. Pham, E.J. Bayro-Corrochano, Neural classifiers for automated visual inspection, in: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 208 (D2), 1995, pp. 83-89.
4. Jiang B.C., and Jiang S.J. Machine vision based inspection of oil seals. Journal of Manufacturing Systems 17 (1998) 159-166
5. R.A. Sones, A.R. Novini, Machine Vision System and Method for Non-Contact Container Inspection, United States Patent, 2001, US6172748.
6. R.A. Sones, Illuminator for Machine Vision, United States Patent, 2003, US6621569.
7. McGrail A., Risino A., Auckland D.W., and Varlow B.R. Use of a medical ultrasonic scanner for the inspection of high voltage insulation. IEEE Electrical Insulation Magazine 9 6 (1993) 5-10
8. Yesiller N., Edil T.B., and Benson C.H. Ultrasonic method for evaluation of annular seals for wells and instrumented holes. Geotechnical Testing Journal 21 4 (1998) 370-371
9. W. Xian, Y. Zhang, Z. Tu, E.L. Hall, Automatic visual inspection of the surface appearance defects of bearing roller, in: Proceedings of IEEE International Conference on Robotics and Automation, vol. 3, Cincinnati, OH, USA, May 13-18, 1990, pp. 1490-1494.
10. Thomas S.M., and Chan Y.T. A simple approach for the estimation of circular arc center and its radius. Computer Vision,Graphics, & Image Processing 45 3 (1989) 362-370
11. Unser M., Aldroubi A., and Eden M. Enlargement or reduction of digital images with minimum loss of information. IEEE Transactions on Image Processing 4 (1995) 247-258
12. Jensen K., and Anastassiou D. Subpixel edge localization and the interpolation of still images. IEEE Transactions on Image Processing 4 (1995) 285-295
13. Sonka M., Hlavac V., and Boyle R. Image Processing, Analysis, and Machine Vision (1999), PWS Publishing Corp.
14. K.T. Gribbon, D.G. Bailey, A novel approach to real-time bilinear interpolation, in: Second IEEE International Workshop on Electronic Design, Test and Applications, 2004, pp. 126-131.
15. Blayvas I., Bruckstein A., and Kimmel R. Efficient computation of adaptive threshold surfaces for image binarization. Pattern Recognition 39 1 (2006) 89-101
16. Otsu N. Threshold selection method from gray-level histograms. IEEE Transactions on Systems Man and Cybernetics SMC-9 1 (1979) 62-66
17. Freeman H. Computer processing of line-drawing images. Computing Surveys 6 1 (1974) 57-97