Enhanced Infrared Sparse Pattern Extraction and Usage for Impact Evaluation of Basalt-Carbon Hybrid Composites by Pulsed Thermography
Jue Hu,
Hai Zhang,
Stefano Sfarra,
Claudia Sergi,
Stefano Perilli,
Clemente Ibarra-Castanedo,
Guiyun Tian,
Xavier Maldague
Affiliations
Jue Hu
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Hai Zhang
Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory, Laval University, QC G1V 0A6, Canada
Stefano Sfarra
Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale E. Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy
Claudia Sergi
Department of Chemical Engineering Materials Environment, Sapienza-Università di Roma & UdR INSTM, Via Eudossiana 18, 00184 Roma, Italy
Stefano Perilli
Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale E. Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy
Clemente Ibarra-Castanedo
Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory, Laval University, QC G1V 0A6, Canada
Guiyun Tian
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Xavier Maldague
Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory, Laval University, QC G1V 0A6, Canada
Nowadays, infrared thermography, as a widely used non-destructive testing method, is increasingly studied for impact evaluation of composite structures. Sparse pattern extraction is attracting increasing attention as an advanced post-processing method. In this paper, an enhanced sparse pattern extraction framework is presented for thermographic sequence processing and defect detection. This framework adapts cropping operator and typical component extraction as a preprocessing step to reduce the dimensions of raw data and applies sparse pattern extraction algorithms to enhance the contrast on the defect area. Different cases are studied involving several defects in four basalt-carbon hybrid fiber-reinforced polymer composite laminates. Finally, comparative analysis with intensity distribution is carried out to verify the effectiveness of contrast enhancement using this framework.
