Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif

Author:

Shibaeva Darya Nikolaevna12,Voronin Roman Pavlovich12,Kompanchenko Alena Arkadievna3ORCID,Volkov Denis Olegovich12,Asanovich Danil Alekseevich12,Bulatov Victor Vladimirovich12ORCID

Affiliation:

1. Department of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, Russia

2. Mining Institute, Kola Science Centre, Russian Academy of Sciences, 184209 Apatity, Russia

3. Geological Institute, Kola Science Centre, Russian Academy of Sciences, 184209 Apatity, Russia

Abstract

This article presents developed hardware and software solutions based on the application of machine vision technology. The hardware and software solutions were created in order to generate a database of HSV-color value for the main ore types, host rocks, and minerals to define criteria for the in-process identification of the Khibiny apatite in testing the walls of blasting boreholes. The hardware ensures a multi-parametric assessment of the optical characteristics of samples and minerals located on their surface. The designed software solution allows the user to control the measurement process; systematize a description of the textural and structural features of the sample under study; and process images of the core surface. The resultant database of HSV-color value for the main ores and rocks of the Khibiny massif and their constituent minerals will provide an opportunity to search for criteria for the in-process identification of the Khibiny apatite in a mineral mixture.

Funder

RSF

Publisher

MDPI AG

Reference24 articles.

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2. Gorobets, B.S., and Rogozhin, A.A. (2001). Luminescence Spectra of Minerals. Guidebook, VIMS.

3. Tereshchenko, S.V. (2005). Scientific Bases of Luminescent Separation of Mineral Raw Materials. [Ph.D. Thesis, Saint Petersburg Northwestern State Technical University].

4. Rassulov, V.A. (2011). Luminescent Spectrometry of Zircon, Fluorite, Scheelite and Apatite as an Indicator of the Ore-Formational Type of Deposits. [Ph.D. Thesis, Russian State Geological Prospecting University].

5. Luminescence as a basis for typification of apatites from various rocks and ores of the Urals;Votyakov;Yearbook,1995

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