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

Identification of Granite Varieties from Colour Spectrum Data

1,*  and 3
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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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.
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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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