Relationship between surface froth features and flotation indexes in the flotation of a sulphide copper ore

摘要

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.