Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/37170
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | 2-D wavelet segmentation in 3-D T-ray tomography |
Author: | Yin, X. Ng, B. Ferguson, B. Mickan, S. Abbott, D. |
Citation: | IEEE Sensors Journal, 2007; 7(3-4):342-343 |
Publisher: | The Institute of Electrical and Electronic Engineers Inc. |
Issue Date: | 2007 |
ISSN: | 1530-437X 1558-1748 |
Statement of Responsibility: | Xiaoxia Yin, Brian W.-H. Ng, Bradley Ferguson, Samuel P. Mickan and Derek Abbott |
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 |
Description: | Copyright © 2007 IEEE |
DOI: | 10.1109/JSEN.2006.890159 |
Published version: | http://dx.doi.org/10.1109/jsen.2006.890159 |
Appears in Collections: | Aurora harvest 6 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_37170.pdf | 351.8 kB | Publisher's PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.