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Flotation Surface Bubble Displacement Motion Estimation Based on Phase Correlation Method

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9426))

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Abstract

Phase correlation technique combined of bubble tracking algorithm is investigated to estimate the flotation surface bubble displacement movement in this work. Image segmentation is used to extract the high gray value area of each bubble after the two continuous images in a sequence are preprocessed by zooming out on minimum. Because of the bubble motion varying at different parts of the cell surface, block phase correlation is employed to obtain the detailed displacement feature for each block. A lead zinc flotation plant is used to carry out experiments for the estimation of the bubble displacement motion. Experimental results show that the bubble displacement motion of each flotation cell is in a certain cycle. The displacement motion curve distribution and the turbulence degree curve distribution of the same level flotation cell are the similar.

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Acknowledgements

This research is financially supported by the National Natural Science Fund in China (grant no. 61170147) and the Science and Technology Development Fund of Fuzhou University (grant no. 2014-XY-31).

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Authors and Affiliations

  1. College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

    Liangqin Chen & Weixing Wang

Authors
  1. Liangqin Chen
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  2. Weixing Wang
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Correspondence to Liangqin Chen .

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Editors and Affiliations

  1. University College of London, London, United Kingdom

    Antonis Bikakis

  2. Fuzhou University, Fuzhou, China

    Xianghan Zheng

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Chen, L., Wang, W. (2015). Flotation Surface Bubble Displacement Motion Estimation Based on Phase Correlation Method. In: Bikakis, A., Zheng, X. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2015. Lecture Notes in Computer Science(), vol 9426. Springer, Cham. https://doi.org/10.1007/978-3-319-26181-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-26181-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26180-5

  • Online ISBN: 978-3-319-26181-2

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