Relationship between Colour Intensity and Water Content in Crema Loja Limestone

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Abstract:

The alterations to the visual properties of a Spanish limestone, Crema Loja, in relation to its water content are presented, measured and discussed in this work. A Computer Vision System previously developed, validated and patented by CTAP, was used. The study was carried out on different tiles with two surface treatments: polished and honed. A critical value of water content is proposed at the end of the study to avoid problems derived from alterations to the visual properties of this stone material due to moisture.

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183-188

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April 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] B. Jaehne: Practical handbook on image processing for scientific applications, CRC Press (1997).

Google Scholar

[2] A. Cortés Izurdiaga, L. González Teruel: Spanish Patent with number P201001319: Image recognition system of natural stone tiles.

Google Scholar

[3] P. García Carricondo, A. Cortés Izurdiaga: Computer Vision applied to classification of Blanco Macael marble, Proceedings of the Global Stone Congress 2010, on http: /aulavirtual. aidico. es/materialava/cd%20terminado/_port. html.

Google Scholar

[4] T. Kachanubal, S. Udomhunsakul:  Rock images classification using principle component analysis and spatial frequency measurement, Proc. SPIE, Vol. 6833, Part 1(2008).

DOI: 10.1117/12.756441

Google Scholar

[5] D. Gelli, R. March, P. Salonia: Surface analysis of stone materials integrating spatial data and computer vision techniques, Journal of Cultural Heritage 4 (2003) pp.117-125.

DOI: 10.1016/s1296-2074(03)00023-2

Google Scholar

[6] O. Akkoyun, Z. Toprak, Z. Fuat: Fuzzy-based quality classification model for natural building stone blocks, Engineering Geology 133 (2012) pp.66-75.

DOI: 10.1016/j.enggeo.2012.02.016

Google Scholar

[7] M. Araujo, J. Martinez, C. Ordonez:  Identification of granite varieties from colour spectrum data, Sensors 10 (2010) pp.8572-8584.

DOI: 10.3390/s100908572

Google Scholar

[8] F. Bianconi, E. Gonzalez, A. Fernandez: Automatic classification of granite tiles through colour and texture features, Expert Systems with Applications 39 (2012) pp.11212-11218.

DOI: 10.1016/j.eswa.2012.03.052

Google Scholar