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Sensors 2010, 10(9), 8572-8584; doi:10.3390/s100908572

Identification of Granite Varieties from Colour Spectrum Data

1
Department of Environmental Engineering, University of Vigo, Vigo 36310, Spain
2
Academia General Militar, Centro Universitario de la Defensa, Zaragoza 50090, Spain
3
Department of Mechanical Engineering, University of Vigo, Vigo 36310, Spain
*
Author to whom correspondence should be addressed.
Received: 30 July 2010 / Revised: 27 August 2010 / Accepted: 8 September 2010 / Published: 14 September 2010
(This article belongs to the Special Issue Photodetectors and Imaging Technologies)
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Abstract

The granite processing sector of the northwest of Spain handles many varieties of granite with specific technical and aesthetic properties that command different prices in the natural stone market. Hence, correct granite identification and classification from the outset of processing to the end-product stage optimizes the management and control of stocks of granite slabs and tiles and facilitates the operation of traceability systems. We describe a methodology for automatically identifying granite varieties by processing spectral information captured by a spectrophotometer at various stages of processing using functional machine learning techniques. View Full-Text
Keywords: spectrophotometer; functional data; classification; SVM; PUK kernel spectrophotometer; functional data; classification; SVM; PUK kernel
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Araújo, M.; Martínez, J.; Ordóñez, C.; Vilán, J.A. Identification of Granite Varieties from Colour Spectrum Data. Sensors 2010, 10, 8572-8584.

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