Identification of granite varieties from colour spectrum data

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-prod...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2010-09, Vol.10 (9), p.8572-8584
Main Authors: Araújo, María, Martínez, Javier, Ordóñez, Celestino, Vilan, Jose Antonio
Format: Article
Language:English
Subjects:
Classification
Construction Materials
Data analysis
functional data
Identification
Machine learning
PUK kernel
Regression analysis
Sensors
Silicon Dioxide - chemistry
Silicon Dioxide - classification
spectrophotometer
Spectrophotometry - methods
Stone
Support Vector Machine
Support vector machines
SVM
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s100908572