A novel optical granulometry algorithm for ore particles
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. This optical granulometry algorithm is particularly suitable for blast furnace process control, so its result can be used directly as a reliable basis for control system dynami...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade, Technical Faculty, Bor
2010-01-01
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| Series: | Journal of Mining and Metallurgy. Section B: Metallurgy |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/1450-5339/2010/1450-53391001087J.pdf |
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| _version_ | 1832572389615992832 |
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| author | Junhao Y. Xiubin Z. Jie Q. |
| author_facet | Junhao Y. Xiubin Z. Jie Q. |
| author_sort | Junhao Y. |
| collection | DOAJ |
| description | This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. This optical granulometry algorithm is particularly suitable for blast furnace process control, so its result can be used directly as a reliable basis for control system dynamics optimization. The paper explains the algorithm and its concept, as well as its method, which consists of five steps to detect ore granularity and distribution. A series of comparative experiments under industrial environments proved that this novel algorithm, compared with conventional ones, improves the accuracy of granulometry. |
| format | Article |
| id | doaj-art-0db76a0602d7467a9da9c5fa80b56c52 |
| institution | Kabale University |
| issn | 1450-5339 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | University of Belgrade, Technical Faculty, Bor |
| record_format | Article |
| series | Journal of Mining and Metallurgy. Section B: Metallurgy |
| spelling | doaj-art-0db76a0602d7467a9da9c5fa80b56c522025-02-02T10:09:32ZengUniversity of Belgrade, Technical Faculty, BorJournal of Mining and Metallurgy. Section B: Metallurgy1450-53392010-01-01461879510.2298/JMMB1001087JA novel optical granulometry algorithm for ore particlesJunhao Y.Xiubin Z.Jie Q.This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. This optical granulometry algorithm is particularly suitable for blast furnace process control, so its result can be used directly as a reliable basis for control system dynamics optimization. The paper explains the algorithm and its concept, as well as its method, which consists of five steps to detect ore granularity and distribution. A series of comparative experiments under industrial environments proved that this novel algorithm, compared with conventional ones, improves the accuracy of granulometry.http://www.doiserbia.nb.rs/img/doi/1450-5339/2010/1450-53391001087J.pdfparticle size distributionoptical granulometrydouble circleplanar subdivisionregion expansioncomputer vision |
| spellingShingle | Junhao Y. Xiubin Z. Jie Q. A novel optical granulometry algorithm for ore particles Journal of Mining and Metallurgy. Section B: Metallurgy particle size distribution optical granulometry double circle planar subdivision region expansion computer vision |
| title | A novel optical granulometry algorithm for ore particles |
| title_full | A novel optical granulometry algorithm for ore particles |
| title_fullStr | A novel optical granulometry algorithm for ore particles |
| title_full_unstemmed | A novel optical granulometry algorithm for ore particles |
| title_short | A novel optical granulometry algorithm for ore particles |
| title_sort | novel optical granulometry algorithm for ore particles |
| topic | particle size distribution optical granulometry double circle planar subdivision region expansion computer vision |
| url | http://www.doiserbia.nb.rs/img/doi/1450-5339/2010/1450-53391001087J.pdf |
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