By Topic

Experimenting with pixel-level NDT data fusion techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Gros, X.E. ; Inst. of Adv. Mater., Comm. of the Eur. Communities, Petten, Netherlands ; Zheng Liu ; Tsukada, K. ; Hanasaki, K.

Results from the fusion of images from multiple nondestructive testing (NDT) sources gathered during the inspection of composite material damaged by impact are presented and discussed. The fusion of multiple images was performed at pixel level using several data fusion techniques based on Bayesian analysis, wavelet theories (Daubechie wavelet and steerable pyramid transform) and multi-resolution mosaic technique. Based on assessment of the resulting fused images, it appears that the multi-resolution mosaic approach is best suited to offer an estimate of the actual damaged area

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:49 ,  Issue: 5 )