title: Identification of granite varieties from colour spectrum data.
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.
authors.affiliation: Department of Environmental Engineering, University of Vigo, Vigo 36310, Spain. maraujo@uvigo.es
authors.forename: María
authors.initials: M
authors.lastname: Araújo
authors.forename: Javier
authors.initials: J
authors.lastname: Martínez
authors.forename: Celestino
authors.initials: C
authors.lastname: Ordóñez
authors.forename: José Antonio
authors.initials: JA
authors.lastname: Vilán
mesh_terms: D003252:Construction Materials; D012822:Silicon Dioxide / Q000737:chemistry* / Q000145:classification*; D013053:Spectrophotometry / Q000379:methods*; D060388:Support Vector Machine
chemical_list: C007886:granite; D012822:Silicon Dioxide