Flotation froth feature analysis using computer vision technology
The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was v...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/52/e3sconf_pcdg2020_02022.pdf |
| _version_ | 1818641319124271104 |
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| author | Romachev Artem Kuznetsov Valentin Ivanov Egor Jörg Benndorf |
| author_facet | Romachev Artem Kuznetsov Valentin Ivanov Egor Jörg Benndorf |
| author_sort | Romachev Artem |
| collection | DOAJ |
| description | The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. As result, mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established. |
| first_indexed | 2024-12-16T23:25:16Z |
| format | Article |
| id | doaj.art-26e7df032b1243419b0f0c5bb9bc7a26 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T23:25:16Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-26e7df032b1243419b0f0c5bb9bc7a262022-12-21T22:12:03ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011920202210.1051/e3sconf/202019202022e3sconf_pcdg2020_02022Flotation froth feature analysis using computer vision technologyRomachev Artem0Kuznetsov Valentin1Ivanov Egor2Jörg Benndorf3Saint-Petersburg Mining University, Mineral Processing DepartmentSaint-Petersburg Mining University, Mineral Processing DepartmentSaint-Petersburg Mining University, Mineral Processing DepartmentTU Bergakademie Freiberg, Institute for Mine Surveying and GeodesyThe possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. As result, mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/52/e3sconf_pcdg2020_02022.pdf |
| spellingShingle | Romachev Artem Kuznetsov Valentin Ivanov Egor Jörg Benndorf Flotation froth feature analysis using computer vision technology E3S Web of Conferences |
| title | Flotation froth feature analysis using computer vision technology |
| title_full | Flotation froth feature analysis using computer vision technology |
| title_fullStr | Flotation froth feature analysis using computer vision technology |
| title_full_unstemmed | Flotation froth feature analysis using computer vision technology |
| title_short | Flotation froth feature analysis using computer vision technology |
| title_sort | flotation froth feature analysis using computer vision technology |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/52/e3sconf_pcdg2020_02022.pdf |
| work_keys_str_mv | AT romachevartem flotationfrothfeatureanalysisusingcomputervisiontechnology AT kuznetsovvalentin flotationfrothfeatureanalysisusingcomputervisiontechnology AT ivanovegor flotationfrothfeatureanalysisusingcomputervisiontechnology AT jorgbenndorf flotationfrothfeatureanalysisusingcomputervisiontechnology |