Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms
Flotation is a process used in the mineral industry to concentrate valuable minerals. The efficiency of the process is influenced by among other the bubble size distribution of the flotation froth. In this investigation, we propose a new method for automatic estimation of the bubble size distributio...
| Main Authors: | , |
|---|---|
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/41553 |
| _version_ | 1848756177230364672 |
|---|---|
| author | Amankwah, A. Aldrich, Chris |
| author_facet | Amankwah, A. Aldrich, Chris |
| author_sort | Amankwah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Flotation is a process used in the mineral industry to concentrate valuable minerals. The efficiency of the process is influenced by among other the bubble size distribution of the flotation froth. In this investigation, we propose a new method for automatic estimation of the bubble size distribution using the mean shift algorithm and watershed transform. The mean shift algorithm is used to find pixel clusters of particular modes of the probability density function of the image data. Pixel clusters of which the modes are above a given threshold are used as markers for the watershed transform. Experimental results show that the proposed method was fast and robust for determining the size distribution of different classes of flotation froth. |
| first_indexed | 2025-11-14T09:08:03Z |
| format | Conference Paper |
| id | curtin-20.500.11937-41553 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:08:03Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-415532017-09-13T14:16:24Z Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms Amankwah, A. Aldrich, Chris Flotation is a process used in the mineral industry to concentrate valuable minerals. The efficiency of the process is influenced by among other the bubble size distribution of the flotation froth. In this investigation, we propose a new method for automatic estimation of the bubble size distribution using the mean shift algorithm and watershed transform. The mean shift algorithm is used to find pixel clusters of particular modes of the probability density function of the image data. Pixel clusters of which the modes are above a given threshold are used as markers for the watershed transform. Experimental results show that the proposed method was fast and robust for determining the size distribution of different classes of flotation froth. 2014 Conference Paper http://hdl.handle.net/20.500.11937/41553 10.1109/IGARSS.2014.6946754 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Amankwah, A. Aldrich, Chris Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title | Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title_full | Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title_fullStr | Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title_full_unstemmed | Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title_short | Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| title_sort | automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms |
| url | http://hdl.handle.net/20.500.11937/41553 |