Relationship between Surface Froth Features and Flotation Indexes in the Flotation of a Sulphide Copper Ore

Gui Chun He; Jin Ni Feng; Yi Peng Wu; Hua Mei Xiang; Mei Chao Qi

doi:10.4028/www.scientific.net/AMR.503-504.650

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 503-504Relationship between Surface Froth Features and...

Relationship between Surface Froth Features and Flotation Indexes in the Flotation of a Sulphide Copper Ore

Abstract:

Froth images are pre-processed, which are acquired at the flotation laboratory. Digital image analysis techniques are used to analysize these froth images and their grey histogram and to extract statistical texture features of those froth images. Finally, the relation model for statistical texture features of those froth images and flotation index is established by RBF neural networks. A simulation showed that the relation model is higher precise

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Periodical:

Advanced Materials Research (Volumes 503-504)

Pages:

650-653

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.503-504.650

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Online since:

April 2012

Authors:

Gui Chun He, Jin Ni Feng, Yi Peng Wu, Hua Mei Xiang, Mei Chao Qi

Keywords:

Flotation Index, Froth Flotation, Image Process, RBF Neural Network

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