References to the use of pattern recognition and image processing in UT


Baker, A.R., and Windsor, C.G., "The classification of defects from ultrasonic data using neural networks: the Hopfield method", NDT International, vol. 22 (2), 1989, pp. 97-105.

Brown, L.M., and DeNale, R., "Classification of ultrasonic defect signatures using an artificial neural network", in Review of Progress in Quantitative Non destructive Evaluation, vol. 10A, eds. D.O. Thomson & D.E. Chimenti, Plenum Press, 1991, pp 705-712.

Edwards, I., et al, "Fusion of NDT data", British J. of NDT, vol. 35(12), pp. 710-713, 1993.

Hopgood A.A. et al, "Interpreting ultrasonic images using rules, algorithms and neural networks", European. J. of NDT, vol. 2 (4), 1993, pp. 135-149.

McNab, A., and Dunlop, I., "Advanced visualisation and interpretation techniques for the evaluation of ultrasonic data: the NDT Workbench", British J. of NDT, vol. 35(5), pp. 233-240, 1992.

McNab, A., and Dunlop, I., "A review of artificial intelligence applied to ultrasonic defect evaluation", INSIGHT, vol. 37 (1), pp. 11-16, 1995.

Melton, R.B., "Knowledge based systems in nondestructive evaluation", in Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials, ed. by C.H. Chen, NATO ASI Series, vol. F44, Springer Verlag, Berlin, 1988, pp. 199-203.

Pickens, K. S. et al, "Image processing and artificial intelligence for detection and interpretation of ultrasonic test signals", in Review of Progress in Quantitative Non destructive Evaluation vol. 6, pp 863-870, 1987.

Poulter, L.N., et al, "Automating the analysis of ultrasonic data", in Reliability in Non-destructive Testing, C. Brook and P.D. Hanstead (eds), pp. 285-297, Pergamon Press, Oxford, 1988.

Smith, F.G., Jepsen, K.R. and Lichtenwalner, P.F., "Comparison of neural network and Markov random field image segmentation techniques", in Review of Progress in Quantitative Nondestructive Evaluation, ed by D.O Thompson and D.E. Chimenti, Plenum, Press, New York, 1992, pp. 717-724.

Song, S-J, and Schmerr, L.W., "Ultrasonic flaw classification in weldments using neural networks", in Review of Progress in Quantitative Nondestructive Evaluation, vol. 10A, ed by D.O Thompson and D.E. Chimenti, Plenum, Press, New York, 1991, pp. 697-703.

Walkden, P., "Automated ultrasonic defect discrimination", Materials Evaluation, vol. 47 (9), pp. 1000-1004, September 1989.

Windsor, C.G., et al, "The classification of weld defects from ultrasonic images: a neural network approach ", British Journal of NDT, vol. 35 (1), pp. 15-22, January 1993.

Windsor, C.G., "Can we train a computer to be a skilled inspector ?", INSIGHT, vol. 37 (1), pp. 36-49, January 1995.


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