Image Processing Algorithm for the Assessment of the Ore Fragmentation Size Distribution
The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to the subject is followed by a step-by-step description of the algorithm. The result of the algorithm is in a form of a histogram containing in...
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| Vydané v: | Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 505 - 512 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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01.09.2019
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| ISSN: | 1946-0759 |
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| Abstract | The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to the subject is followed by a step-by-step description of the algorithm. The result of the algorithm is in a form of a histogram containing information on the size of the objects detected with the use of the routine. Even though the algorithm has shown to provide promising results, some important observations have been made which point towards areas where the algorithm could be improved. The designed solution was evaluated by means of experiments conducted in two different test stands - rotary table conveyor belt and standard conveyor belt. The samples for fragmentation size distribution has been prepared beforehand according to appropriate guidelines. |
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| AbstractList | The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to the subject is followed by a step-by-step description of the algorithm. The result of the algorithm is in a form of a histogram containing information on the size of the objects detected with the use of the routine. Even though the algorithm has shown to provide promising results, some important observations have been made which point towards areas where the algorithm could be improved. The designed solution was evaluated by means of experiments conducted in two different test stands - rotary table conveyor belt and standard conveyor belt. The samples for fragmentation size distribution has been prepared beforehand according to appropriate guidelines. |
| Author | Lewandowski, Daniel Firla, Marcin Lipnicki, Piotr |
| Author_xml | – sequence: 1 givenname: Marcin surname: Firla fullname: Firla, Marcin email: marcin.firla@pl.abb.com organization: Condition Monitoring, Sensors & Electronics, ABB Corporate Research Center, Kraków, Poland – sequence: 2 givenname: Piotr surname: Lipnicki fullname: Lipnicki, Piotr organization: Condition Monitoring, Sensors & Electronics, ABB Corporate Research Center, Kraków, Poland – sequence: 3 givenname: Daniel surname: Lewandowski fullname: Lewandowski, Daniel organization: Condition Monitoring, Sensors & Electronics, ABB Corporate Research Center, Kraków, Poland |
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| Snippet | The article presents the description of an image processing algorithm that attempts to estimate the fragmentation size distribution of ore. An introduction to... |
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| StartPage | 505 |
| SubjectTerms | Belts Cameras CLAHE fragmentation size distribution Histograms image processing Image reconstruction line-scan camera mining Ores Rocks |
| Title | Image Processing Algorithm for the Assessment of the Ore Fragmentation Size Distribution |
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