Welding defect detection from radiography images with a cepstral approach

NDT and E International

Volumn 44, Issue 2, 2011, Pages 226-231

  Kasban, H ^a   Zahran, O ^b   Arafa, H ^a   El Kordy, M ^b   Elaraby, S M S ^a   Abd El Samie, F E ^b  

^a NUCLEAR RESEARCH CENTER   (Egypt)

^b MENOUFIA UNIVERSITY   (Egypt)

Author keywords

DCT; Defect detection; DST; DWT; Feature extraction; MFCCs; Radiography; Welding

Indexed keywords

DCT; DEFECT DETECTION; DST; DWT; MFCCS;

COSINE TRANSFORMS; DEFECTS; DISCRETE COSINE TRANSFORMS; DISCRETE WAVELET TRANSFORMS; GAMMA RADIOGRAPHY; GAMMA RAYS; NEURAL NETWORKS; RADIOLOGY; SIGNAL DETECTION; SPEECH RECOGNITION; WELDING; WELDS;

FEATURE EXTRACTION;

EID: 78751582150     PISSN: 09638695     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ndteint.2010.10.005     Document Type: Article

References (24)

1. R.J. Ditchburn, S.K. Burke, and C.M. Scala NDT of welds: state of the art NDT & E International 29 2 1996 111 117
2. Charles Hayes The ABC's of nondestructive weld examination Welding Journal 76 5 1998 46 51
3. T.W. Liao, and J. Ni An automated radiography NDT system for weld inspection: Part II Flaw Detection, NDT & E International 31 3 1998 183 192
4. T.W. Liao, D.M. Li, and Y.M. Li Detection of welding flaws from radiography images with fuzzy clustering methods Fuzzy Sets and Systems 108 2 1999 145 158
5. V. Lashkia, and S. Aleshin Test feature classifiers: performance and applications IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 31 4 2001 643 650
6. G. Wang, and T.W. Liao Automatic identification of different types of welding defects in radiography images NDT & E International 35 2002 519 528
7. I.G. Kazantsev, I. Lemahieu, G.I. Salov, and R. Denys Statistical detection of defects in radiography images in nondestructive testing Signal Processing 82 2002 791 801
8. Romeu R. da Silva, Marcio H.S. Siqueira, Marcos Paulo Vieira de Souza, João M.A. Rebello, and Luiz P. Calôb Estimated accuracy of classification of defects detected in welded joints by radiography tests NDT & E International 38 2005 335 343
9. S.S. Leong, Z. Samad, M.M. Ratnam, and M.A. Khalid Weld extraction from digitized radiographs using graphical analysis of weld intensity profiles Journal of Technology 45 D 2006 167 180
10. T. Saravanan, S. Bagavathiappan, J. Philip, T. Jayakumar, and B. Raj Segmentation of defects from radiography images by the histogram concavity threshold method Insight 49 10 2007 578 584
11. J. Mirapeix, P.B. Garcia-Allende, A. Cobo, O.M. Conde, and J.M. Lpez-Higuera Real-time arc-welding defect detection and classification with principal component analysis and artificial neural networks NDT & E International 40 2007 315 323 (Pubitemid 46400450)
12. Thai WKF, Development of a computed radiography-based weld defect detection and classification system. MSc thesis, University of Sains, Malaysia, 2008.
13. E.S. Amin Application of artificial neural networks to evaluate weld defects of nuclear components Journal of Nuclear and Radiation Physics 3 2 2008 83 92
14. R. Vilar, J. Zapat, and R. Ruiz Classification of welding defects in radiography images using an ANN with modified performance function 2009 Springer Berlin Heidelberg 28493
15. J. Zapata, R. Vilar, and R. Ruiz An adaptive network-based fuzzy inference system for classification of welding defects NDT & E International 43 3 2010 191 199
16. Valavanis I, Kosmopoulos D, Multiclass defect detection and classification in weld radiographic images using geometric and texture features. Expert Systems with Applications 2010;37(12):760614.
17. R.R. Silva, and D. Mery State-of-the-art of weld seam inspection by radiography testing: Part I Image Processing Materials Evaluation 65 6 2007 643 647
18. Kasban H Detection of buried objects using acoustic waves, MSc thesis, Faculty of Electronic Engineering, Menofia University, Egypt, 2008.
19. R. Muralishankar Theoretical complex cepstrum of DCT and warped DCT filters IEEE Signal Processing Letters 14 5 2007 367 370
20. Hashad FG, Halim TM Diab SM and Sallam BM A new approach for fingerprint recognition based on Mel frequency cepstral coefficients. in: Proceedings of the international conference on computer engineering and systems, Cairo, Egypt, December 2009, pp. 2638.
21. Kinnunen T Spectral features for automatic text-independent speaker recognition. Licentiate's Thesis, University of Joensuu, Department of Computer Science, Finland, 2003.
22. R. Vergin, D.O. Shaughnessy, and A. Farhat Generalized Mel frequency cepstral coefficients for large-vocabulary speaker-independent continuous-speech recognition IEEE Transactions on Speech and Audio Processing 7 5 1999 525 532
23. A. Prochazka, J. Uhlir, P.J.W. Rayner, and N.J. Kingsbury Signal analysis and prediction 1998 Birkhauser Inc. USA
24. G. Dreyfus Neural networks methodology and applications 2005 Springer-Verlag Berlin Heidelberg