Reference : Stationary Wavelet Transform denoising in Pulsed Thermography: influence of camera r...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering
	To cite this reference:	http://hdl.handle.net/10993/35209

Title :	Stationary Wavelet Transform denoising in Pulsed Thermography: influence of camera resolution on defect detection
Language :	English
Author, co-author :	Revel, Gian Marco [Università Politecnica delle Marche > DIISM > > Professor]
	Chiariotti, Paolo [Università Politecnica delle Marche > DIISM > > Researcher]
	Copertaro, Edoardo [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Pandarese, Giuseppe [Università Politecnica delle Marche > DIISM > > Researcher]
Publication date :	2016
Journal title :	Proceedings of 13th Conference on Advanced Infrared Technology and Applications
Peer reviewed :	Yes
Audience :	International
Event name :	13th Conference on Advanced Infrared Technology and Applications
Event date :	September 29 - October 2, 2015
Keywords :	[en] Active Thermography ; Wavelet Denoising ; High-resolution Cameras
Abstract :	[en] Denoising filters are widely used in image enhancement. However, they might induce severe blurring effects the lower is the resolution of the original image. When applied to a thermal image in Non-Destructive Testing (NDT), blurring could entail wrong estimation of defect boundaries and an overall reduction in defect detection performances. This contribution discusses the application of a wavelet-based denoising technique to a thermographic sequence obtained from a Pulsed Thermography testing, when using a high- resolution 1024x768 FPA infrared camera. Influence of denoising approach on data post- processed by Principal Component Analysis is discussed. Results indicate marked enhancement in defect detection, especially when compared to those obtained with a standard-resolution 320x240 FPA infrared camera.
Permalink :	http://hdl.handle.net/10993/35209
Framework Programme / European Project :	H2020 ; 636063 - INSITER - Intuitive Self-Inspection Techniques using Augmented Reality for construction, refurbishment and maintenance of energy-efficient buildings made of prefabricated components

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