Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis
Excessive fines fed to metallurgical plants, power stations and other fixed or fluidized bed reactors can cause major problems by adversely affecting the flow of gas through the solid burden. In this industrial case study, the novel application of machine vision to monitor coal on conveyer feed syst...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
CPS
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/34021 |
| _version_ | 1848754108278767616 |
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| author | Amankwah, A. Aldrich, Chris |
| author2 | Dr George Yang |
| author_facet | Dr George Yang Amankwah, A. Aldrich, Chris |
| author_sort | Amankwah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Excessive fines fed to metallurgical plants, power stations and other fixed or fluidized bed reactors can cause major problems by adversely affecting the flow of gas through the solid burden. In this industrial case study, the novel application of machine vision to monitor coal on conveyer feed systems is described. By using an adaptive thresholding and watershed transform, the fines in the stratified coal could be reliably estimated. We use the feature compactness to select and segment rock particles since crushed rocks tend to have round shape. The watershed transform is also used to split touching rock particles segmented from the adaptive thresholding. |
| first_indexed | 2025-11-14T08:35:10Z |
| format | Conference Paper |
| id | curtin-20.500.11937-34021 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:35:10Z |
| publishDate | 2013 |
| publisher | CPS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-340212017-09-13T15:07:51Z Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis Amankwah, A. Aldrich, Chris Dr George Yang watershed transform Adaptive thresholding rock fines Excessive fines fed to metallurgical plants, power stations and other fixed or fluidized bed reactors can cause major problems by adversely affecting the flow of gas through the solid burden. In this industrial case study, the novel application of machine vision to monitor coal on conveyer feed systems is described. By using an adaptive thresholding and watershed transform, the fines in the stratified coal could be reliably estimated. We use the feature compactness to select and segment rock particles since crushed rocks tend to have round shape. The watershed transform is also used to split touching rock particles segmented from the adaptive thresholding. 2013 Conference Paper http://hdl.handle.net/20.500.11937/34021 10.1109/ICICEE.2012.8 CPS restricted |
| spellingShingle | watershed transform Adaptive thresholding rock fines Amankwah, A. Aldrich, Chris Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title | Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title_full | Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title_fullStr | Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title_full_unstemmed | Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title_short | Automated Online Estimation of Fines in Ore on Conveyer Belt Using Image Analysis |
| title_sort | automated online estimation of fines in ore on conveyer belt using image analysis |
| topic | watershed transform Adaptive thresholding rock fines |
| url | http://hdl.handle.net/20.500.11937/34021 |