You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
8 September 2010Spectral marks for qualitative discriminant analysis
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.
The alert did not successfully save. Please try again later.
Olga M. Conde, Lucía Uriarte, Pilar B. García-Allende, Ana M. Cubillas, F. Anabitarte, Jose M. Lopez-Higuera, "Spectral marks for qualitative discriminant analysis," Proc. SPIE 7653, Fourth European Workshop on Optical Fibre Sensors, 76531J (8 September 2010); https://doi.org/10.1117/12.865842