Non-destructive testing using radiographic images - A survey

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 48, Issue 10, 2006, Pages

  Anouncia, S Margaret ^a   Saravanan, R ^a  

^a VIT UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INSPECTION; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION; WELDING;

DEFECT DETECTION; DEFECTIVE PATTERNS; RADIOGRAPHIC IMAGE INSPECTION;

INDUSTRIAL RADIOGRAPHY;

EID: 33750142161     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.2006.48.10.592     Document Type: Article

References (30)

1. Alaknanda, R S Arland and P Kumar, 'Flaw detection in radiographic weld images using morphological approach', Indian Institute of Technology, Roorkee, India, NDT&E International Journal, Vol 39, Issue 1, pp 29-33, January 2006.
2. G Bonser and S W Lawson, 'Defect detection in partially complete saw and tig welds using on-line radioscopy and image processing', Proceedings of SPIE International Symposium on Nondestructive Evaluation Techniques for Aging Infrastructure and Manufacturing, San Antonio, Texas, March 1998.
3. C Rodriguez, S Rementeria, J I Martin, A Lafuente, J Muguerza and J Perez, 'A modular neural network approach for fault diagnosis', IEEE Transaction on Neural Network, Vol 7, No 2, 1996.
4. D Davis, S Linying and B Sharp, 'Neural networks for X-ray image segmentation', Proceedings of First International Conference on Enterprise Information System, Setubal, Portugal, pp 264-271, March 1999.
5. D Naso, B Turchiano and P Pantaleo, 'A fuzzy logicbased optical sensor for online weld defect detection', IEEE transactions on Industrial Informatics, Vol 1, No 4, November 2005.
6. M K Fellisberto, T M Centeno, L V R Arruda and H S Lopes, 'Automatic analysis of radiographic images for non-destructive test applications', www.cpgei.cefetpr.br/~hslopes/publicacoes/2004/sem2004.pdf, Proceedings of 10th SEM international congress on experimental and applied mechanics, Costa Mesa (CA), USA, 2004.
7. G Wang and T Warren Liao, 'Automatic identification of different types of welding defects in radiographic images', NDT & E International Journal, Vol 35, Issue 8, pp 519-528, December 2002.
8. J Li, J Ze Wang and G Wiederhold, 'Classification of textured and non textured images using region segmentation', Proc IEEE International Conference on Image Processing (ICIP), Vancouver, BC, Canada, pp 754-757, September 2000.
9. D Kazantsev, G Salov and V Pyatkin, 'Statistical detection of defects in radiographic images of welds', ACM Signal Processing, Vol 82, Issue 5, pp 791-801, May 2002.
10. Limei Song, Xing Hua Qu, Ke Xin Xu and LiNa Lv, 'Novel SFS-NDT in the field of defect detection', NDT & E International Journal 38, Issue 5, pp 381-386, July 2005.
11. M Gallagher and P Deacon, 'Neural networks and the classification of mineralogical samples using X-ray spectra', Proc International Conference on Neural Information Processing (ICONIP'02), pp 2683-2687, IEEE Press, Piscataway, NJ, November 2002.
12. D Mery, 'New approaches for defect recognition with X-ray testing', 8th European Conference on Non-Destructive Testing, ECNDT, Barcelona, June 2002.
13. D Mery and D Filbert, 'Automated flaw detection in aluminum castings based on the tracking of potential defects in a radioscopic image sequence', IEEE Transactions on Robotics and Automation, Vol 18, Issue 6, December 2002.
14. D Mery and M A Berti, 'Automatic detection of welding defects using texture features', paper presented at the International Symposium on Computerized Tomography and Image Processing for Industrial Applications in Radiology (CTIP - 2003) pp 23-25, Berlin, June 2003.
15. D Mery, R R da Silva, L P Caloba and J M A Rebello, 'Pattern recognition in the automatic inspection of aluminium castings', Insight, Vol 45, No 7, July 2003.
16. M Popat and S V Barai, 'Defect detection and classification using machine learning classifier', 16th WCNDT 2004 World Conference on NDT, Montreal, Canada, 30 August-3 September 2004.
17. N Nacereddine, R Drai and A Benchaala Amar, 'Weld defect extraction and classification in radiographic testing based artificial neural networks', 15th WCNDT, Rome, 15-21 October 2000.
18. N Nacereddine and M Tridi, 'Computer-aided shape analysis and classification of weld defects in industrial radiography based invariant attributes and neural networks', 4th International symposium on Image and Signal Processing And Analysis, ISPA 2005, Zagreb, Croatia, September 2005.
19. G X Padua, Silva R R et al, 'Classification of welding defects in radiographs using traversal profiles to the weld seam', Federal University of Rio de Janeiro, RJ Brazil. www.ndt.net/article/wcndt2004/ html/htmltxt/715_padua.htm, 16th WCNDT 2004 World Conference on NDT, Vol 9 No 11, November 2004.
20. P Perner, U Zscherpel and C Jacobson, 'Application of machine learning in industrial radiographic testing', PATREC Journal, Article No: 2680, pp 01-08.
21. C Rajagopalan, B Venkatraman, T Jayakumar, P Kalyanasundaram and Baldev Raj, 'A novel tool for automated evaluation of radiographic weld images, IGCAR, Kalpakkam, India, www.ndt.net/article/wcndt2004/pdf/radiography/ 736_raj.pdf.
22. R R da Silva, L P Caloba, M H S Siqueira and J M A Rebello, 'Pattern recognition of welded defects detected by radiographic test', NDT & E International Journal, Vol 37, Issue 6, pp 461-470, September 2004.
23. R R da Silva, L P Caloba, M H S Siqueira and J M A Rebello, 'Estimated accuracy of classification of defects detected in welded joints by radiographic tests', NDT & E International Journal, Vol 38, Issue 5, pp 335-343, July 2005.
24. H I Shafeek, E S Gadelmawala, A A Abdel-Shafy and I M Elewa, 'Assessment of welding defects for gas pipeline radiographs using computer vision', NDT & E International Journal, Vol 37, Issue 4, pp 291-299, June 2004.
25. H I Shafeek, E S Gadelmawala, A A Abdel-Shafy and I M Elewa, 'Automatic inspection of gas pipeline welding defects using an expert vision system', NDT & E International Journal, Vol 37, Issue 4, pp 301-307, June 2004.
26. S W Lawson and G A Parker, 'Intelligent segmentation of industrial radiographic images using neural networks', University of Surrey, Guildford, Surrey, GU2 5XH, United Kingdom. Proceedings of SPIE 1994.
27. G Vamos, I Lovanyi, A Nagy and B Kiss, 'Flaw detection in metallic welds on X-ray images using Bayesian networks', http://www.iit.bme.hu/~szirmay/ katt/Vamos.pdf, Proc of first Hungarian conference.
28. Yi Sun, Peng Bai, Hong-Yu Sun and Ping Zhou, 'Real time automatic detection of weld defects in steel pipe', NDT & E International Journal 38, Issue 7, pp 522-528, October 2005.
29. Yueming Li and T Warren Liao, 'Weld defect detection based on Gaussian curve', Louisiana State University Baton Rouge, LA 70803, Proc of 28th IEEE Southeastern Symposium on system theory, Baton Rouge, Louisiana.
30. Z Feher, 'Computer aided processing of industrial radiographs', University of Technology and Economics, Hungary, Periodica Polytechnica Ser El Eng, Vol 44, No 3-4, pp 241-248, 2000.