Paper
14 November 2002 Investigation of biomaterial classification using T-rays
Author Affiliations +
Proceedings Volume 4937, Biomedical Applications of Micro- and Nanoengineering; (2002) https://doi.org/10.1117/12.476426
Event: SPIE's International Symposium on Smart Materials, Nano-, and Micro- Smart Systems, 2002, Melbourne, Australia
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chin Cheng Te, Bradley Ferguson, and Derek Abbott "Investigation of biomaterial classification using T-rays", Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, (14 November 2002); https://doi.org/10.1117/12.476426
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Cited by 5 scholarly publications.
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KEYWORDS
Terahertz radiation

Feature extraction

Wavelets

Image classification

Data modeling

Mathematical modeling

Autoregressive models

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