Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/58202
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Type: Conference paper
Title: Terahertz computed tomographic reconstruction and its wavelet-based segmentation by fusion
Author: Yin, X.
Ng, B.
Ferguson, B.
Mickan, S.
Abbott, D.
Citation: IEEE International Symposium on Industrial Electronics, 2007. ISIE 2007; pp.3409-3414
Publisher: IEEE
Publisher Place: New York
Issue Date: 2007
ISBN: 1424407559
9781424407552
Conference Name: IEEE International Symposium on Industrial Electronics (2007 : Vigo, Spain)
Statement of
Responsibility: 
X.X. Yin, B.W.-H. Ng, B. Ferguson, S.P. Mickan, D. Abbott
Abstract: In this paper, terahertz (T-ray) computed tomographic (CT) imaging [1] and segmentation techniques are investigated. The traditional filtered back projection is applied for the reconstruction of terahertz coherent tomography. A set of linear image fusion and novel wavelet scale correlation segmentation techniques is adopted to achieve material discrimination within a three dimensional (3D) 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. The wavelet based fusion scheme enjoys the additional benefit that it does not require the calculation of a single threshold and there is only a segmenter parameter to adjust.
Rights: © 2007 IEEE.
RMID: 0020095796
DOI: 10.1109/ISIE.2007.4375164
Appears in Collections:Electrical and Electronic Engineering publications

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