Experimenting with pixel-level NDT data fusion techniques

Experimenting with pixel-level NDT data fusion techniques

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 a...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement 2000-10, Vol.49 (5), p.1083-1090
Hauptverfasser: Gros, X.E., Zheng Liu, Tsukada, K., Hanasaki, K.
Format: Artikel
Sprache:eng
Schlagworte:
Bayesian methods
Composite materials
Damage
Data fusion
Data integration
Eddy currents
Image analysis
Inspection
Mosaics
Nondestructive testing
Performance analysis
Signal processing
Wavelet
Wavelet analysis
Wavelet transforms
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Zusammenfassung: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.
ISSN:0018-9456
1557-9662
DOI:10.1109/19.872934