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Analysis of Texture of Froth Image in Coal Flotation

路迈西Fan Wang刘晓文日刘文礼Yong Wang

2001Acta Scientiarum Naturalium Universitatis SunyatseniEnvironmental Science被引 1

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摘要

Froth image features of coal flotation have been extracted and studied by neighboring grey level dependence matrix, spatial grey level dependence matrix and grey level histogram. In this paper, a basic algorithm of unsupervised learning pattern classification is presented, and coal flotation froth images are classified by means of self-organizing map (SOM). By extracting features from 51 flotation froth images with laboratory column, four types of froth images are classified. The correct rate of SOM cluster is satisfactory. And a good relationship of froth type with average ash content is also observed.

引用本文(GB/T 7714)

路迈西, Fan Wang, 刘晓文日, 等. Analysis of Texture of Froth Image in Coal Flotation[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2001.

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