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.
Disciplines :
Aerospace & aeronautics engineering
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
External co-authors :
yes
Language :
English
Title :
Stationary Wavelet Transform denoising in Pulsed Thermography: influence of camera resolution on defect detection
Publication date :
2016
Event name :
13th Conference on Advanced Infrared Technology and Applications
Event date :
September 29 - October 2, 2015
Audience :
International
Journal title :
Proceedings of 13th Conference on Advanced Infrared Technology and Applications
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 636063 - INSITER - Intuitive Self-Inspection Techniques using Augmented Reality for construction, refurbishment and maintenance of energy-efficient buildings made of prefabricated components
