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Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement

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International Journal of Thermophysics Aims and scope Submit manuscript

Abstract

Infrared thermographic nondestructive testing is a proven technology for material inspection and characterization that is based on the analysis of the dynamic thermal behavior of specimens induced by an intentional and controlled external stimulation. The analysis and review of the image sequences resulting from the inspections is time consuming, which cancels out the advantage provided by the quick inspection process. The RGB projection method has been recently proposed to overcome this limitation. This method synthesizes long sequences into only one true color image, selecting the three most representative images from the original sequence. This study advances the development of this methodology by automating the selection of the channels to be included in the RGB image, making the process objective. Seven different criteria based on different metrics are proposed to select the channels. They are analyzed and evaluated by theoretical and real thermographic tests obtaining RGB images that contain up to 99.6 % of the defects detected in the original thermographic sequences. Visualization improvement is also provided to the RGB image by image processing algorithms.

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References

  1. M. Diakides, J.D. Bronzino, D.R. Peterson, Medical Infrared Imaging: Principles and Practices (CRC Press, London, 2012)

    Book  Google Scholar 

  2. B. Lahiri, S. Bagavathiappan, T. Jayakumar, J. Philip, Infrared Phys. Technol. 55, 221 (2012)

    Article  ADS  Google Scholar 

  3. A. López, F. Molina-Aiz, D. Valera, A. Peña, Sci. Hortic. 137, 49 (2012)

    Article  Google Scholar 

  4. A. Schaefer, N. Cook, J. Church, J. Basarab, B. Perry, C. Miller, A. Tong, Res. Vet. Sci. 83, 376 (2007)

    Article  Google Scholar 

  5. M.K. Bhowmik, K. Saha, S. Majumder, G. Majumder, A. Saha, A.N. Sarma, D. Bhattacharjee, D.K. Basu, M. Nasipuri, in Reviews, Refinements and New Ideas in Face Recognition (InTech, New York, 2011)

  6. C. Balaras, A. Argiriou, Energy Build. 34, 171 (2002)

    Article  Google Scholar 

  7. G.M. Lim, D.M. Bae, J.H. Kim, J. Mech. Sci. Technol. 28, 2947 (2014)

    Article  Google Scholar 

  8. G. BuSSe, D. Wu, W. Karpen, J. Appl. Phys. 71, 3962 (1992)

    Article  ADS  Google Scholar 

  9. X. Maldague, S. Marinetti, J. Appl. Phys. 79, 2694 (1996)

    Article  ADS  Google Scholar 

  10. J.M. Roche, F.H. Leroy, D. Balageas, Mater. Eval. 72, 73–82 (2014)

    Google Scholar 

  11. J. Roche, F. Leroy, D. Balageas, in The 12th International Conference on Quantitative InfraRed Thermography (QIRT 2014) (2015)

  12. J. Perán, L. Vega, in 10th AIMS Conference on Dynamical Systems, Differential Equations and Applications (2014)

  13. W. Burger, M.J. Burge, Principles of Digital Image Processing (Springer, Berlin, 2009)

    MATH  Google Scholar 

  14. D.L. Balageas, J.M. Roche, F.H. Leroy, W.M. Liu, A.M. Gorbach, Biocybern. Biomed. Eng. 35, 1 (2015)

    Article  Google Scholar 

  15. D.L. Balageas, J.M. Roche, F.H. Leroy, in The 1st QIRT-ASIA Conference on Quantitative InfraRed Thermography (2015)

  16. G. Gaussorgues, S. Chomet, Infrared Thermography, vol. 5 (Springer, Berlin, 2012)

    Google Scholar 

  17. G.M. Carlomagno, G. Cardone, Exp. Fluids 49, 1187 (2010)

    Article  Google Scholar 

  18. C. Meola, G.M. Carlomagno, Meas. Sci. Technol. 15, R27 (2004)

    Article  ADS  Google Scholar 

  19. S. Perilli, M. Regi, S. Sfarra, I. Nardi, Rev. Rom. Mat. 46, 185 (2016)

    Google Scholar 

  20. M. Clark, D. McCann, M. Forde, NDT E Int. 36, 265 (2003)

    Article  Google Scholar 

  21. M.S. Jadin, S. Taib, Infrared Phys. Technol. 55, 236 (2012)

    Article  ADS  Google Scholar 

  22. S. Bagavathiappan, B. Lahiri, T. Saravanan, J. Philip, T. Jayakumar, Infrared Phys. Technol. 60, 35 (2013)

    Article  ADS  Google Scholar 

  23. X.P. Maldague, Nondestructive Evaluation of Materials by Infrared Thermography (Springer, Berlin, 2012)

    Google Scholar 

  24. X. Guo, V. Vavilov, Infrared Phys. Technol. 61, 149 (2013)

    Article  ADS  Google Scholar 

  25. R. Usamentiaga, P. Venegas, J. Guerediaga, L. Vega, J. Molleda, F.G. Bulnes, Sensors 14, 12305 (2014)

    Article  Google Scholar 

  26. C. Ibarra-Castanedo, D. Gonzalez, M. Klein, M. Pilla, S. Vallerand, X. Maldague, Infrared Phys. Technol. 46, 75 (2004)

    Article  ADS  Google Scholar 

  27. F.J. Madruga, C. Ibarra-Castanedo, O.M. Conde, J.M. López-Higuera, X. Maldague, NDT E Int. 43, 661 (2010)

    Article  Google Scholar 

  28. S.M. Shepard, J.R. Lhota, B.A. Rubadeux, D. Wang, T. Ahmed, Opt. Eng. 42, 1337 (2003)

    Article  ADS  Google Scholar 

  29. H. Benítez, X. Maldague, C. Ibarra-Castanedo, H. Loaiza, A. Bendada, E. Caicedo, in 2006 Canadian Conference on Electrical and Computer Engineering (IEEE, 2006), pp. 1039–1042

  30. J.C. Krapez, F. Lepoutre, D. Balageas, J. Phys. IV 4, C7 (1994)

    Google Scholar 

  31. S. Shepard, Temporal Noise Reduction, Compression and Analysis of Thermographic Image Data Sequences (2003). http://www.google.com/patents/US6516084. US Patent 6,516,084

  32. S. Shepard, System for Generating Thermographic Images Using Thermographic Signal Reconstruction (2004). http://www.google.com/patents/US6751342. US Patent 6,751,342

  33. X. Maldague, F. Galmiche, A. Ziadi, Infrared Phys. Technol. 43, 175 (2002)

    Article  ADS  Google Scholar 

  34. C. Ibarra-Castanedo, X. Maldague, Quant. Infrared Thermogr. J. 1, 47 (2004)

    Article  Google Scholar 

  35. N. Rajic, Compos. Struct. 58, 521 (2002)

    Article  Google Scholar 

  36. S. Marinetti, E. Grinzato, P.G. Bison, E. Bozzi, M. Chimenti, G. Pieri, O. Salvetti, Infrared Phys. Technol. 46, 85 (2004)

    Article  ADS  Google Scholar 

  37. F. Lopez, C. Ibarra-Castanedo, V. de Paulo Nicolau, X. Maldague, NDT E Int. 66, 128 (2014)

    Article  Google Scholar 

  38. C. Ibarra-Castanedo, X. Maldague, in Proceedings of the SPIE, vol. 5405 (2004), pp. 348–356

  39. F. Galmiche, X. Maldague, S. Valler, J.P. Couturier, in AIP Conference Proceedings, vol. 509 (AIP, 2000), pp. 609–616

  40. J. Roche, D. Balageas, in The 12th International Conference on Quantitative InfraRed Thermography, Paper QIRT-2014-010 (2014), pp. 7–11

  41. J.M. Roche, F. Passilly, D. Balageas, J. Nondestruct. Eval. 34, 41 (2015)

    Article  Google Scholar 

  42. D.L. Balageas, J.M. Roche, Quant. Infrared Thermogr. J. 11, 43 (2014)

    Article  Google Scholar 

  43. J.M. Roche, D.L. Balageas, Quant. Infrared Thermogr. J. 12, 1 (2015)

    Article  Google Scholar 

  44. A.K. Jain, Fundamentals of Digital Image Processing (Prentice-Hall Inc, Upper Saddle River, 1989)

    MATH  Google Scholar 

  45. G.A. Baxes, Digital Image Processing: Principles and Applications (Wiley, New York, 1994)

    Google Scholar 

  46. R. Hidalgo-Gato García, J.R. Andrés Álvarez, J.M. López Higuera, F.J. Madruga Saavedra et al., Opt. Photonics J. 3, 20 (2013)

    Article  ADS  Google Scholar 

  47. P. Albendea, F.J. Madruga, A. Cobo, J.M. López-Higuera, et al., in The 10th International Conference on Quantitative InfraRed Thermograpy, vol. 20 (2010), pp. 1–8

  48. R. Usamentiaga, P. Venegas, J. Guerediaga, L. Vega, I. López, Quant. Infrared Thermogr. J. 10, 55 (2013)

    Article  Google Scholar 

  49. H. Mir, P. Xu, P. Van Beek, in Digital Photography (2014), p. 90230I

  50. J.F. Canny, MIT Technical Report AI-TR-720 (1983)

  51. S. Yousefi, M. Rahman, N. Kehtarnavaz, IEEE Trans. Consum. Electron. 57, 1 (2011)

    Article  Google Scholar 

  52. J. Jeon, J. Lee, J. Paik, IEEE Trans. Consum. Electron. 57, 1003 (2011)

    Article  Google Scholar 

  53. C. Galleguillos, A. Rabinovich, S. Belongie, in IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008). (IEEE, 2008), pp. 1–8

  54. F.R. de Siqueira, W.R. Schwartz, H. Pedrini, Neurocomputing 120, 336 (2013)

    Article  Google Scholar 

  55. L. Nanni, S. Brahnam, S. Ghidoni, E. Menegatti, Int. J. Latest Res. Sci. Technol. 3, 192 (2014)

    Google Scholar 

  56. S.K. Warfield, K.H. Zou, W.M. Wells, IEEE Trans. Med. Imaging. 23, 903 (2004)

    Article  Google Scholar 

  57. X. Yang, B. Guo, Fuzzy Information and Engineering (Springer, Berlin, 2009), pp. 488–495

    Book  Google Scholar 

  58. Q. Kun, G. Chaoyong, S. Jinwei, Electrical Engineering and Control (Springer, Berlin, 2011), pp. 629–634

    Book  Google Scholar 

  59. J.L. Battaglia, M. Saboul, J. Pailhes, A. Saci, A. Kusiak, O. Fudym, J. Appl. Phys. 115, 223516 (2014)

    Article  ADS  Google Scholar 

  60. G. Kalogiannakis, D. Van Hemelrijck, G. Van Assche, J. Compos. Mater. 38, 163 (2004)

    Article  ADS  Google Scholar 

  61. V. Plana, P. Reulet, P. Millan, J. Compos. Mater. 40, 1247 (2006)

    Article  Google Scholar 

  62. R. Joven, R. Das, A. Ahmed, P. Roozbehjavan, B. Minaie, in SAMPE International Symposium Proceedings (2012)

  63. N. Li, W. Huai, S. Wang, L. Ren, Infrared Phys. Technol. 78, 45 (2016)

    Article  ADS  Google Scholar 

  64. A. Rogalski, Infrared Phys. Technol. 54, 136 (2011)

    Article  ADS  Google Scholar 

  65. Y. Duan, P. Servais, M. Genest, C. Ibarra-Castanedo, X.P. Maldague, J. Mech. Sci. Technol. 26, 1985 (2012)

    Article  Google Scholar 

  66. D.L. Balageas, J.M. Roche, F.H. Leroy, Mater. Eval. 75, 1019 (2017)

    Google Scholar 

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Acknowledgements

Authors would like to acknowledge the International Doctoral School of the National Distance Education University (EIDUNED) for its support. J. Perán is supported by the ETSI Industriales, project 2018-MAT11, and the Spanish Ministerio de Economía y Competitividad and FEDER, Grant MTM2017-85054-C2-2-P

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Correspondence to P. Venegas.

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This article is part of the selected papers presented at the 19th International Conference on Photoacoustic and Photothermal Phenomena.

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Venegas, P., Usamentiaga, R., Perán, J. et al. Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement. Int J Thermophys 39, 95 (2018). https://doi.org/10.1007/s10765-018-2417-9

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