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2018
Journal Article
Title
Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation
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.
Author(s)
Zhang, Hai
Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Laval University, Quebec, Canada / Center for Advanced Diffusion-Wave Technologies (CADIFT), Department of Mechanical and Industrial Engineering, University of Toronto, Canada
Avdelidis, Nicolas P.
Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory (CVSL), Laval University, Quebec City, Canada/Aerospace Integration Research Centre (AIRC), Cranfield, UK
Ibarra-Castanedo, Clemente
Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Laval University, Quebec, Canada
Sfarra, Stefano
Department of Industrial and Information Engineering and Economics, Las.E.R. Laboratory, University of L' Aquila/ Tomsk Polytechnic University
Matikas, Theodore E.
Mechanics, Smart Sensors and Nondestructive Evaluation (MSS-NDE) Laboratory, Department of Materials Science and Engineering, University of Ioannina, Greece
Open Access
File(s)
Rights
CC BY 4.0: Creative Commons Attribution
Additional link
Language
English