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.

关键词： froth flotation image process flotation index RBF neural networks

作者: Guichun He Jinni Feng Yipeng Wu Huamei Xiang Meichao Qi

作者单位: Jiangxi University Of Science And Technology,Ganzhou Jiangxi Province,34100,China

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 650-653

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）