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Sensors 2018, 18(1), 45; https://doi.org/10.3390/s18010045

Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation

1
Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory, Laval University, 1065 av. de la Médecine, Quebec City, QC G1V 0A6, Canada
2
Aerospace Integration Research Centre (AIRC), College Road, Cranfield MK43 0AL, UK
3
Department of Inspection of Components and Assemblies, Fraunhofer Institute for Nondestructive Testing IZFP, 66123 Saarbrücken, Germany
4
University of Applied Sciences, htw saar, 66117 Saarbrücken, Germany
5
Department of Industrial and Information Engineering and Economics, Las.E.R. Laboratory, University of L’Aquila, 67100 L’Aquila, Italy
6
Tomsk Polytechnic University, 634028 Tomsk, Russia
7
School of Computer Sciences, Federal University of Uberlandia, Uberlandia 38400-902, Brazil
8
Mechanics, Smart Sensors and Nondestructive Evaluation (MSS-NDE) Laboratory, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece
Current address: Center for Advanced Diffusion-Wave Technologies (CADIFT), Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, ON M5S 3G8, Canada.
*
Author to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 19 December 2017 / Accepted: 21 December 2017 / Published: 26 December 2017
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Abstract

In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided. View Full-Text
Keywords: infrared thermography; polynomial fitting; low-order derivative; composite; low-velocity impact infrared thermography; polynomial fitting; low-order derivative; composite; low-velocity impact
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, H.; Avdelidis, N.P.; Osman, A.; Ibarra-Castanedo, C.; Sfarra, S.; Fernandes, H.; Matikas, T.E.; Maldague, X.P.V. Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation. Sensors 2018, 18, 45.

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