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Identification of Granite Varieties from Colour Spectrum Data
Department of Environmental Engineering, University of Vigo, Vigo 36310, Spain
Academia General Militar, Centro Universitario de la Defensa, Zaragoza 50090, Spain
Department of Mechanical Engineering, University of Vigo, Vigo 36310, Spain
* Author to whom correspondence should be addressed.
Received: 30 July 2010; in revised form: 27 August 2010 / Accepted: 8 September 2010 / Published: 14 September 2010
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.
Keywords: spectrophotometer; functional data; classification; SVM; PUK kernel
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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.
Araújo M, Martínez J, Ordóñez C, Vilán JA. Identification of Granite Varieties from Colour Spectrum Data. Sensors. 2010; 10(9):8572-8584.
Araújo, María; Martínez, Javier; Ordóñez, Celestino; Vilán, José Antonio. 2010. "Identification of Granite Varieties from Colour Spectrum Data." Sensors 10, no. 9: 8572-8584.