Machine vision monitoring and particle size feed analysis
| creativeworkseries.issn | 2450-7326 | |
| dc.contributor.author | Heyduk, Adam | |
| dc.date.available | 2024-11-18T11:20:03Z | |
| dc.date.issued | 2018 | |
| dc.description | Bibliogr. s. 10-11. | |
| dc.description.abstract | This paper presents selected problems related to the use of machine vision techniques for the analysis of particle size distribution. The basic steps and conditions for acquiring granular material images are described, followed by further processing and analysis methods. The advantages of 3-D image acquisition and processing have been compared to 2-D image analysis. Several possible areas of application related to the supervision of material transportation, optimization of mineral processing systems, and bulk density measurements have also been presented. | pl |
| dc.description.placeOfPublication | Kraków | |
| dc.description.version | wersja wydawnicza | |
| dc.identifier.doi | https://doi.org/10.7494/miag.2018.1.533.7 | |
| dc.identifier.eissn | 2449-6421 | |
| dc.identifier.issn | 2450-7326 | |
| dc.identifier.uri | https://repo.agh.edu.pl/handle/AGH/110030 | |
| dc.language.iso | eng | |
| dc.publisher | Wydawnictwa AGH | |
| dc.relation.ispartof | Mining - Informatics, Automation and Electrical Engineering | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.access | otwarty dostęp | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/legalcode | |
| dc.subject | particle size measurement | en |
| dc.subject | image analysis | en |
| dc.subject | coal preparation | en |
| dc.title | Machine vision monitoring and particle size feed analysis | en |
| dc.title.alternative | Wizyjny monitoring i analiza granulometryczna nadawy | pl |
| dc.title.related | Mining - Informatics, Automation and Electrical Engineering | en |
| dc.type | artykuł | |
| dspace.entity.type | Publication | |
| publicationissue.issueNumber | No. 1 (533) | |
| publicationissue.pagination | pp. 7-11 | |
| relation.isJournalIssueOfPublication | 641e939c-0ba7-449d-a552-402e9e8d197f | |
| relation.isJournalIssueOfPublication.latestForDiscovery | 641e939c-0ba7-449d-a552-402e9e8d197f | |
| relation.isJournalOfPublication | 3ddfae11-4e51-4967-8da2-7c848e2888ee |
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