Quantitative assessment of the precious stones color by machine vision

A. Kushkoeva; A. Chertov; E. Gorbunova; A. Alekhin; V. Peretyagin; D. Troshkin

doi:10.1117/12.2526026

21 June 2019 Quantitative assessment of the precious stones color by machine vision

A. Kushkoeva, A. Chertov, E. Gorbunova, A. Alekhin, V. Peretyagin, D. Troshkin

Proceedings Volume 11061, Automated Visual Inspection and Machine Vision III; 110610L (2019) https://doi.org/10.1117/12.2526026
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

The quality and value of precious stones is determined by a set of indicators such as color, purity, dimension, type and quality of cut. This article is devoted to the problem of assessment of the color of precious stones as one of the crucial quality indicators. To date, the color is usually evaluated by an expert who relies on his/her own color perception and a set of master stones (precious stones color standards). The authors propose an alternative way of determining the color using special hardware and software and standard colorimetric techniques. On the example of green ("emerald") shades the possibility of digital classification of precious stones by color is shown.

Citation Download Citation

A. Kushkoeva, A. Chertov, E. Gorbunova, A. Alekhin, V. Peretyagin, and D. Troshkin "Quantitative assessment of the precious stones color by machine vision", Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610L (21 June 2019); https://doi.org/10.1117/12.2526026

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