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Enhanced image processing for infrared non-destructive testing

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Opto-Electronics Review

Abstract

This paper presents a review and in-depth analysis of three of the most popular techniques for processing PT images: differential absolute contrast, thermographic signal reconstruction and pulsed phase thermography. The fundamental concepts of the three techniques are reviewed and their application on thermal data obtained from the PT inspection on a carbon fibre reinforced specimen is analysed. Furthermore, a new promissory technique based on multivariate statistical analysis is also introduced and evaluated. The performance of the techniques is evaluated in terms of the signal-to-noise ratio at maximum signal contrast.

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References

  1. X. Maldague, Theory and Practice of Infrared Technology for Nondestructive Testing, John Wiley & Sons, New York, 2001.

    Google Scholar 

  2. S.M. Shepard, “Advances in pulsed thermography”, Proc. SPIE 4360, 511–515 (2001).

    Article  ADS  Google Scholar 

  3. S. Shepard, J. Lhota, B. Rubadeux, T. Ahmed and D. Wang, “Enhancement and reconstruction of thermographic NDT data”, Proc. SPIE 4710, 531–535 (2002).

    Article  ADS  Google Scholar 

  4. X. Maldague and S. Marinetti, “Advances in pulsed phase thermography”, Infrared Phys. Techn. 42, 175–181 2002.

    Article  Google Scholar 

  5. C. Ibarra-Castanedo, M. Genest, S. Guibert, J. Piau, X. Maldague, and A. Bendada, “Inspection of aerospace materials by pulsed thermography, lock-in thermography and vibrothermography: a comparative study”, Proc. SPIE 6541, 16–24 (2007).

    ADS  Google Scholar 

  6. D. Almond and P. Patel, Phothermal Science and Techniques: Physics and its Applications, Chapman and Hall, London, 1996.

    Google Scholar 

  7. R. Bracewell, The Fourier Transform and its Application, McGraw-Hill, Toronto, 1965.

    Google Scholar 

  8. M. Pilla, M. Klein, X. Maldague, and A. Salerno, “New absolute contrast for pulsed thermography”, in QIRT, Dubrovnik, 2002.

    Google Scholar 

  9. F. López, V.P. Nicolau, X. Maldague, and C. Ibarra-Castanedo, “Multivariate signal processing technique by partialleast squares thermography”, in 16th Int. Symp. on Applied Electromagnetics and Mechanics, Quebec City, 2013.

    Google Scholar 

  10. L.E. Mujica, J, Vehi, M. Ruiz, M. Verleysen, W. Staszewski, and K. Worden, “Multivariate statistics process control for dimensionality reduction in structural assessment”, Mech. Syst. Signal Pr. 22, 155–171 (2008).

    Article  Google Scholar 

  11. H. Martens and T. Naes, Multivariate Calibration, John Wiley & Sons, Chichester, 1989.

    MATH  Google Scholar 

  12. T. Naes, T. Isaksson, T. Fearn, and T. Davies, A User-Friendly Guide to Multivariate Calibration and Classification, NIR Publications, Chichester, 2004.

    Google Scholar 

  13. F. López, C. Ibarra-Castanedo, X.P. Maldague, and V. Nicolau, “Pulsed thermography signal processing techniques based on the 1D solution of the heat equation applied to the inspection of laminated composites”, Mater. Eval. 72, 91–102 (2014).

    Google Scholar 

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Correspondence to F. Lopez.

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Lopez, F., Maldague, X. & Ibarra-Castanedo, C. Enhanced image processing for infrared non-destructive testing. Opto-Electron. Rev. 22, 245–251 (2014). https://doi.org/10.2478/s11772-014-0202-2

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  • DOI: https://doi.org/10.2478/s11772-014-0202-2

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