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Proceedings Paper

Investigation of biomaterial classification using T-rays
Author(s): Chin Cheng Te; Bradley Ferguson; Derek Abbott
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Paper Abstract

The use of terahertz pulses (T-rays) for imaging has created a wide range of new applications. This paper investigates a number of techniques for optimally classifying terahertz data. Specifically we consider statistical pattern classification methods. A goal of this research is to implement a classifier as for classifying biomaterials. The objective is to train a classifier using THz images of known materials and then to use the classifier to identify the materials present in unknown images. Potential applications in security systems for airports, customs, and post offices are significant, because we can actually identify the material inside the package without opening it, based on a material’s broadband frequency signature.

Paper Details

Date Published: 14 November 2002
PDF: 13 pages
Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, (14 November 2002); doi: 10.1117/12.476426
Show Author Affiliations
Chin Cheng Te, Univ. of Adelaide (Australia)
Bradley Ferguson, Univ. of Adelaide (Australia)
Derek Abbott, Univ. of Adelaide (Australia)

Published in SPIE Proceedings Vol. 4937:
Biomedical Applications of Micro- and Nanoengineering
Dan V. Nicolau, Editor(s)

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