Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/39665
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Type: Conference paper
Title: Information fusion and wavelet based segment detection with applications to the identification of 3D target T-ray CT imaging
Author: Yin, X.
Ng, B.
Ferguson, B.
Mickan, S.
Fischer, B.
Rainsford, T.
Abbott, D.
Citation: Joint 31st International Conference on Infrared Millimeter Waves and 14th International Conference on Teraherz Electronics, 2006. IRMMW-THz 2006 / p. 187.
Publisher: IEEE - Institute of Electrical and Electronics Engineers
Publisher Place: Online
Issue Date: 2006
ISBN: 1424404002
9781424404001
Conference Name: International Conference on Infrared and Millimeter Waves (31st : 2006 : Shanghai, China)
Statement of
Responsibility: 
Yin, X.X. ; Ng, B.W.-H. ; Ferguson, B. ; Mickan, S.P. ; Fischer, B.M. ; Rainsford, T.J. ; Abbott, D.
Abstract: In this paper, segmentation techniques depending on T-ray CT functional imaging [1] are investigated. A set of linear image fusion and novel wavelet scale correlation segmentation techniques are adopted in order to achieve classification within 3D objects. The methods are applied to a T-ray CT image dataset of a glass vial containing a plastic tube. This experiment simulates the imaging of a simple nested organic structure, which will provide an indication of the potential for using T-ray CT imaging to achieve T-ray pulsed signal classification of heterogeneous layers.
Rights: © 2006 IEEE
RMID: 0020073777
DOI: 10.1109/ICIMW.2006.368395
Appears in Collections:Electrical and Electronic Engineering publications

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