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https://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) |
Editor: | Shen, X.C. Lu, W. Zhang, J. Dou, W.B. |
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 |
DOI: | 10.1109/ICIMW.2006.368395 |
Published version: | http://dx.doi.org/10.1109/icimw.2006.368395 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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