2-D wavelet segmentation in 3-D T-ray tomography
Date
2007
Authors
Yin, X.
Ng, B.
Ferguson, B.
Mickan, S.
Abbott, D.
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Journal article
Citation
IEEE Sensors Journal, 2007; 7(3-4):342-343
Statement of Responsibility
Xiaoxia Yin, Brian W.-H. Ng, Bradley Ferguson, Samuel P. Mickan and Derek Abbott
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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
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Copyright © 2007 IEEE