Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Terahertz computed tomographic reconstruction and its wavelet-based segmentation by fusion|
|Citation:||IEEE International Symposium on Industrial Electronics, 2007. ISIE 2007; pp.3409-3414|
|Publisher Place:||New York|
|Conference Name:||IEEE International Symposium on Industrial Electronics (2007 : Vigo, Spain)|
|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  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.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.