Analysis of Texture of Froth Image in Coal Flotation
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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