Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information
In this paper, we propose a new method for the motion estimation of flotation froth using mutual information with a bin size of two as the block matching similarity metric. We also use three-step search-and new-three-step-search as a search strategy. Mean sum of absolute difference (MAD) is widely c...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
CSC Journals
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/25309 |
| _version_ | 1848751672986173440 |
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| author | Amankwah, A. Aldrich, Chris |
| author_facet | Amankwah, A. Aldrich, Chris |
| author_sort | Amankwah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose a new method for the motion estimation of flotation froth using mutual information with a bin size of two as the block matching similarity metric. We also use three-step search-and new-three-step-search as a search strategy. Mean sum of absolute difference (MAD) is widely considered in blocked based motion estimation. The minimum bin size selection of the proposed similarity metric also makes the computational cost of mutual information similar to MAD. Experimental results show that the proposed motion estimation technique improves the motion estimation accuracy in terms of peak signal-to-noise ratio of the reconstructed frame. The computational cost of the proposed method is almost the same as the standard machine vision methods used for the motion estimation of flotation froth. |
| first_indexed | 2025-11-14T07:56:27Z |
| format | Journal Article |
| id | curtin-20.500.11937-25309 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:56:27Z |
| publishDate | 2012 |
| publisher | CSC Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-253092017-01-30T12:47:49Z Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information Amankwah, A. Aldrich, Chris Motion Estimation Mean sum of absolute difference Froth Flotation Mutual information In this paper, we propose a new method for the motion estimation of flotation froth using mutual information with a bin size of two as the block matching similarity metric. We also use three-step search-and new-three-step-search as a search strategy. Mean sum of absolute difference (MAD) is widely considered in blocked based motion estimation. The minimum bin size selection of the proposed similarity metric also makes the computational cost of mutual information similar to MAD. Experimental results show that the proposed motion estimation technique improves the motion estimation accuracy in terms of peak signal-to-noise ratio of the reconstructed frame. The computational cost of the proposed method is almost the same as the standard machine vision methods used for the motion estimation of flotation froth. 2012 Journal Article http://hdl.handle.net/20.500.11937/25309 CSC Journals restricted |
| spellingShingle | Motion Estimation Mean sum of absolute difference Froth Flotation Mutual information Amankwah, A. Aldrich, Chris Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title | Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title_full | Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title_fullStr | Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title_full_unstemmed | Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title_short | Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information |
| title_sort | robust block-matching motion estimation of flotation froth using mutual information |
| topic | Motion Estimation Mean sum of absolute difference Froth Flotation Mutual information |
| url | http://hdl.handle.net/20.500.11937/25309 |