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Proceedings Paper

Spectral marks for qualitative discriminant analysis
Author(s): Olga M. Conde; Lucía Uriarte; Pilar B. García-Allende; Ana M. Cubillas; F. Anabitarte; Jose M. Lopez-Higuera
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Paper Abstract

In this paper, a method for the automatic qualitative discrimination of liquid samples based on their absorption spectrum in the ultraviolet, visible and near-infrared regions is presented. An alternative implementation of conventional spectrum matching methodologies is proposed working towards the improvement of the response time of the discrimination system. The method takes advantage of not making assumptions on the probability density function of the data and it is also capable of automatic outlier removal. Preliminary discrimination results have been evaluated on the classification of different oil samples from seeds and olives. The system here proposed could be easily and efficiently implemented in hardware platforms, improving in this way the system performance.

Paper Details

Date Published: 9 September 2010
PDF: 4 pages
Proc. SPIE 7653, Fourth European Workshop on Optical Fibre Sensors, 76531J (9 September 2010); doi: 10.1117/12.865842
Show Author Affiliations
Olga M. Conde, Univ. de Cantabria (Spain)
Lucía Uriarte, Univ. de Cantabria (Spain)
Pilar B. García-Allende, Univ. de Cantabria (Spain)
Ana M. Cubillas, Univ. de Cantabria (Spain)
F. Anabitarte, Univ. de Cantabria (Spain)
Jose M. Lopez-Higuera, Univ. de Cantabria (Spain)


Published in SPIE Proceedings Vol. 7653:
Fourth European Workshop on Optical Fibre Sensors
José Luís Santos; Brian Culshaw; José Miguel López-Higuera; William N. MacPherson, Editor(s)

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