Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif
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-pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Minerals |
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| Online Access: | https://www.mdpi.com/2075-163X/14/2/186 |
| _version_ | 1797297395452608512 |
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| author | Darya Nikolaevna Shibaeva Roman Pavlovich Voronin Alena Arkadievna Kompanchenko Denis Olegovich Volkov Danil Alekseevich Asanovich Victor Vladimirovich Bulatov |
| author_facet | Darya Nikolaevna Shibaeva Roman Pavlovich Voronin Alena Arkadievna Kompanchenko Denis Olegovich Volkov Danil Alekseevich Asanovich Victor Vladimirovich Bulatov |
| author_sort | Darya Nikolaevna Shibaeva |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T22:19:41Z |
| format | Article |
| id | doaj.art-46bbc59d79994dc7a7c3982808716b6c |
| institution | Directory Open Access Journal |
| issn | 2075-163X |
| language | English |
| last_indexed | 2024-03-07T22:19:41Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Minerals |
| spelling | doaj.art-46bbc59d79994dc7a7c3982808716b6c2024-02-23T15:28:41ZengMDPI AGMinerals2075-163X2024-02-0114218610.3390/min14020186Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny MassifDarya Nikolaevna Shibaeva0Roman Pavlovich Voronin1Alena Arkadievna Kompanchenko2Denis Olegovich Volkov3Danil Alekseevich Asanovich4Victor Vladimirovich Bulatov5Department of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, RussiaDepartment of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, RussiaGeological Institute, Kola Science Centre, Russian Academy of Sciences, 184209 Apatity, RussiaDepartment of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, RussiaDepartment of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, RussiaDepartment of Mining Earth Sciences and Environmental Engineering, Apatity Branch of Murmansk Arctic University, 184209 Apatity, RussiaThis 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.https://www.mdpi.com/2075-163X/14/2/186Khibiny massifpetrographic image analysisvisible lightultraviolet lightHSV-color valuemachine vision technology |
| spellingShingle | Darya Nikolaevna Shibaeva Roman Pavlovich Voronin Alena Arkadievna Kompanchenko Denis Olegovich Volkov Danil Alekseevich Asanovich Victor Vladimirovich Bulatov Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif Minerals Khibiny massif petrographic image analysis visible light ultraviolet light HSV-color value machine vision technology |
| title | Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif |
| title_full | Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif |
| title_fullStr | Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif |
| title_full_unstemmed | Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif |
| title_short | Hardware and Software Solutions for the Generation of a Database of HSV-Color Characteristics for the Main Ores and Rocks of the Khibiny Massif |
| title_sort | hardware and software solutions for the generation of a database of hsv color characteristics for the main ores and rocks of the khibiny massif |
| topic | Khibiny massif petrographic image analysis visible light ultraviolet light HSV-color value machine vision technology |
| url | https://www.mdpi.com/2075-163X/14/2/186 |
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