Abstract
In the flotation process, the flotation froth texture is an indicator of the flotation state. To recognize the flotation state based on texture features accurately and to provide guidance for production operations, this paper proposes a method for flotation froth image texture extraction based on the deterministic tourist walks algorithm. First, a weighted graph model of a froth image is built using deterministic tourist walks. Next, the degree distribution and the unit intensity distribution of the weighted graph are extracted. The contrast of the node degree and the contrast of the node unit intensity are calculated as the texture feature indexes. The texture feature indexes are used for flotation production state classification and recognition. The experimental results demonstrate that the proposed method can extract froth image texture features accurately and provide effective guidance for flotation production.
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Acknowledgements
The author would like to thank all the anonymous reviewers for their valuable comments and thoughtful suggestions that improved the quality of the presented work. This work is partially supported by the National Natural Science Foundation of China (Grant No. 61403136), and Science Fund for Creative Research Groups of the National Natural Science Foundation of China(61321003),and the Hunan Province Natural Science Foundation, China (Grant No. 14JJ5008).
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Li, J., Cao, B., Zhu, H. et al. Flotation froth image texture extraction method based on deterministic tourist walks. Multimed Tools Appl 76, 15123–15136 (2017). https://doi.org/10.1007/s11042-017-4603-3
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DOI: https://doi.org/10.1007/s11042-017-4603-3