Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/37170
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Type: Journal article
Title: 2-D wavelet segmentation in 3-D T-ray tomography
Author: Yin, X.
Ng, B.
Ferguson, B.
Mickan, S.
Abbott, D.
Citation: IEEE Sensors Journal, 2007; 7(3-4):342-343
Publisher: The Institute of Electrical and Electronic Engineers Inc.
Issue Date: 2007
ISSN: 1530-437X
Statement of
Responsibility: 
Xiaoxia Yin, Brian W.-H. Ng, Bradley Ferguson, Samuel P. Mickan and Derek Abbott
Abstract: In this letter, segmentation techniques for terahertz (T-ray) computed tomographic (CT) imaging are investigated. A set of linear image fusion and novel wavelet scale correlation segmentation techniques is adopted to achieve material discrimination within a 3-D object. The methods are applied to a T-ray CT image dataset taken from a plastic vial containing a plastic tube. This setup simulates the imaging of a simple nested organic structure, which provides an indication of the potential for using T-ray CT imaging to achieve T-ray pulsed signal classification of heterogeneous layers
Description: Copyright © 2007 IEEE
RMID: 0020070497
DOI: 10.1109/JSEN.2006.890159
Appears in Collections:Electrical and Electronic Engineering publications

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