Conference paper
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Department of Micro- and Nanotechnology, Technical University of Denmark3
Oregon State University4
Surface Engineering, Department of Micro- and Nanotechnology, Technical University of Denmark5
We present a colorimetric sensor array which is able to detect explosives such as DNT, TNT, HMX, RDX and TATP and identifying volatile organic compounds in the presence of water vapor in air. To analyze colorimetric sensors with statistical methods, a suitable representation of sensory readings is required.
We present a new approach of extracting features from a colorimetric sensor array based on a color distribution representation. For each sensor in the array, we construct a K-nearest neighbor classifier based on the Hellinger distances between color distribution of a test compound and the color distribution of all the training compounds.
The performance of this set of classifiers are benchmarked against a set of K-nearest neighbor classifiers that is based on traditional feature representation (e.g., mean or global mode). The suggested approach of using the entire distribution outperforms the traditional approaches which use a single feature.
Language: | English |
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Publisher: | IEEE |
Year: | 2012 |
Pages: | 2125-2128 |
Proceedings: | 2012 IEEE International Conference on Acoustics, Speech and Signal ProcessingIEEE International Conference on Acoustics, Speech and Signal Processing |
Series: | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
ISBN: | 1467300446 , 1467300454 , 1467300462 , 9781467300445 , 9781467300452 and 9781467300469 |
ISSN: | 2379190x and 15206149 |
Types: | Conference paper |
DOI: | 10.1109/ICASSP.2012.6288331 |
ORCIDs: | Alstrøm, Tommy Sonne and Larsen, Jan |
Chemo–selective compounds Explosives detection Feature extraction Hellinger distance K– nearest neighbor classification
Chemicals Compounds Educational institutions Explosives Image color analysis K nearest neighbor classifier K-nearest neighbor classification Sensor arrays chemo-selective compounds color distribution representation colorimetric sensor arrays colorimetry explosive detector explosives detection feature extraction feature representation pattern classification sensor arrays sensory readings statistical method volatile organic compounds water vapor