Machine vision-based motion estimation of flotation froth using mutual information
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The motion estimation of froths in the flotation of minerals is difficult due to the effects of bubble deformation, bursting and merging making it difficult for the traditional machine vision methods to estimate the froth velocity. In this paper, we propose a new method for the motion estimation of flotation froth using mutual information with a bin size of two (MI2) as the block matching metric. 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.
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Amankwah, A.; Aldrich, Chris (2012)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 ...
Amankwah, A.; Aldrich, Chris (2015)© 2015 IEEE. Machine vision systems have been used to monitor mineral froth flotation systems since the 1990s and their ability to track key performance indicators of the systems online is critical to improved plant ...
Verrelli, D.; Albijanic, Boris (2015)Froth flotation is an exceedingly complex physicochemical process. The convenience of distilling much of the complexity of the particle–bubble interactions into a single parameter has led to the continuing popularity of ...