The Paton Welding Journal, 2009, №07

2009 №07 (07)

2009 №07 (01)

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The Paton Welding Journal, 2009, #7, 51-53 pages  

Effectiveness of application of algorithms for identification of weld reinforcement in digital images

Ya.P. Lazorenko, V.A. Kolyada, E.V. Shapovalov, N.F. Lutsenko, T.G. Skuba

E.O. Paton Electric Welding Institute, NASU, Kiev, Ukraine
 
 
Abstract
The paper deals with two algorithms for identification of weld reinforcement in digital images obtained with an optical triangulation sensor - neuronet and probabilistic. Effectiveness of their application is confirmed experimentally.
 
 
Keywords: welding flux, granules, method for evaluation, fracture resistance
 
 
Received:                ??
Published:               28.07.09
 
 
References
1.             Whitney, D.E., Edsall, A.C., Todtenkopf, A.B. et al. (1990) Development and control of an automated robotic weld bead grinding system. Dynamic Systems Measurement Control, 2, 166-176.
2.             Schilf, M., Horber, H. (2001) Sensoren zum Schweissen mitoffenem Lichtbogen. Schweissen und Schneiden, 53, 455-458.
3.             Haug, K., Pritschow, G. (1998) Robust laser-stripe sensor for automated weld-seam-tracking in the shipbuilding industry. In: Proc. of 24th Annual Conf. of the Industrial Electronics Society, 2, 1236-1241.
4.             Kalan, R. (2003) Main concepts of neuron networks. Moscow: Dom Williams.

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Suggested Citation

Ya.P. Lazorenko, V.O. Kolyada, E.V. Shapovalov, N.F. Lutsenko, T.G. Skuba (2009) Effectiveness of application of algorithms for identification of weld reinforcement in digital images. The Paton Welding J., 07, 51-53.

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