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2-D Wavelet Segmentation in 3-D T-Ray Tomography

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5 Author(s)
Xiaoxia Yin ; Sch. of Electr. & Electron. Eng., Adelaide Univ., SA ; Brian W. -H. Ng ; Bradley Ferguson ; Samuel P. Mickan
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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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IEEE Sensors Journal  (Volume:7 ,  Issue: 3 )