Automatic detection of cracks in raw steel block using Gabor filter optimized by univariate dynamic encoding algorithm for searches (uDEAS)

NDT and E International

Volumn 42, Issue 5, 2009, Pages 389-397

  Yun, Jong Pil ^a   Choi, SungHoo ^a   Kim, Jong Wook ^b   Kim, Sang Woo ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b Dong A University   (South Korea)

Author keywords

Defect detection; Gabor filter; Surface flaw; uDEAS; Vision inspection

Indexed keywords

DEFECT DETECTION; GABOR FILTER; SURFACE FLAW; UDEAS; VISION INSPECTION;

BILLETS (METAL BARS); CRACKS; ENCODING (SYMBOLS); INSPECTION; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; STEEL; STEELMAKING; TOTAL QUALITY MANAGEMENT;

ALGORITHMS;

EID: 67349135994     PISSN: 09638695     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ndteint.2009.01.007     Document Type: Article

References (27)

1. Li X., Tso S.K., Guan X.P., and Huang Q. Improving automatic detection of defects in castings by applying wavelet technique. IEEE Trans Ind Electron 53 6 (2006) 1927-1934
2. Chan C., and Pang G.K.H. Fabric defect detection by Fourier analysis. IEEE Trans Ind Appl 36 5 (2000) 1267-1276
3. Helifa B., Oulhadj A., Benbelghit A., Lefkaiser I.K., Boubenider F., and Boutassouna D. Detection and measurement of surface cracks in ferromagnetic materials using eddy current testing. NDT E Int 39 5 (2006) 384-390
4. Pernkopf F. Detection of surface defects on raw steel block using Bayesian network classifiers. Pattern Anal Appl 7 3 (2004) 333-342
5. Jian X., Baillie I., and Dixon S. Steel billet inspection using laser-EMAT system. J Phys D 40 5 (2007) 1501-1506
6. Alaknanda A.R.S., and Kumar P. Flaw detection in radiographic weld images using morphological approach. NDT E Int 39 1 (2006) 29-33
7. Shafeek H.I., Gadelmawla E.S., Abdel-Shafy A.A., and Elewa I.M. Assessment of welding defects for gas pipeline radiographs using computer vision. NDT E Int 37 4 (2004) 291-299
8. Ge J., Zhu Z., He D., and Chen L. A vision-based algorithm for seam detection in a PAW process for large-diameter stainless steel pipes. Int J Adv Manuf Technol 26 9-10 (2005) 1006-1011
9. Pernkopf F. Visual inspection of machined metallic high-precision surfaces. EURASIP J Appl Signal Process 2002 7 (2002) 667-678
10. Dupont F., Odet C., and Carton M. Optimization of the recognition of defects in flat steel products with the cost matrixes theory. NDT E Int 30 1 (1997) 3-10
11. Jia H, Murphey YL, Shi J, Chang TS. An intelligent real-time vision system for surface defect detection. In: Proceedings of the IEEE international conference on pattern recognition, vol. 3, August 2004. p. 239-42.
12. Kang GW, Liu HB. Surface defects inspection of cold rolled strips based on neural network. In: International conference on machine learning and cybernetics, August 2005. p. 5034-7.
13. Arivazhagan S., Ganesan L., and Bama S. Fault segmentation in fabric images using Gabor wavelet transform. Mach Vision Appl 16 6 (2006) 356-363
14. Kumar A., and Pang G.K.H. Defect detection in textured materials using Gabor filters. IEEE Trans Ind Appl 38 2 (2002) 425-440
15. Bodnarova A., Bennamoun M., and Latham S. Optimal Gabor filters for textile flaw detection. Pattern Recognition 35 12 (2002) 2973-2991
16. Tsai D.M., and Wu S.K. Automated surface inspection using Gabor filters. Int J Adv Technol 16 7 (2000) 474-482
17. Kim J.W., and Kim S.W. A fast computational optimization method: univariate dynamic encoding algorithm for searches (uDEAS). IEICE Trans Fundam E90-A 8 (2007) 1679-1689
18. Jang Y.J., and Kim S.W. An estimation of a billet temperature during reheating furnace operation. Int J Control Autom Syst 5 1 (2007) 43-50
19. Kim T, Kim JW. Planning walking patterns of a biped robot with uDEAS optimization. In: Proceedings of international conference on control, automation and systems, Seoul, Korea, October 2007. p. 2693-8.
20. Kim JW, Kim T, Park Y, Kim SW. On-Load motor parameter identification using univariate dynamic encoding algorithm for searches (uDEAS). IEEE Trans Energy Convers 2008;23(3):804-13.
21. Gabor D. Theory of communication. J IEE 93 26 (1946) 429-457
22. Daugman J.G. Uncertainty relation for resolution in space, spatial-frequency and orientation optimized by two-dimensional visual cortical filter. J Opt Soc Am 2 7 (1985) 1160-1169
23. Casasent D., and Smokelin J.S. Real, imaginary, and clutter Gabor filter fusion for detection with reduced false alarms. Opt Eng 33 7 (1994) 2255-2263
24. Kim J.W., and Kim S.W. Numerical method for global optimization dynamic encoding algorithm for searches. IEE Proc Control Theory Appl 151 5 (2004) 661-668
25. Kim J.W., and Kim S.W. Parameter identification of induction motors using dynamic encoding algorithm for searches (DEAS). IEEE Trans Energy Convers 20 1 (2005) 16-24
26. Kim J.W., and Kim S.W. PID control design with exhaustive dynamic encoding algorithm for searches (eDEAS). Int J Control Autom Syst 5 6 (2007) 691-700
27. Tsai D.M., Wu S.K., and Chen M.C. Optimal Gabor filter design for texture segmentation using stochastic optimization. Image Vision Comput 19 5 (2001) 299-316