2-D Wavelet Segmentation in 3-D T-Ray Tomography
2007; IEEE Sensors Council; Volume: 7; Issue: 3 Linguagem: Inglês
10.1109/jsen.2006.890159
ISSN1558-1748
AutoresXiaoxia Yin, Brian W.-H. Ng, Bradley J. Ferguson, Samuel P. Mickan, Derek Abbott,
Tópico(s)Thermography and Photoacoustic Techniques
ResumoIn 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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