计算机应用研究2011，Vol.28Issue(10)：3934-3936,3.DOI:10.3969/j.issn.1001-3695.2011.10.091
基于LBPV的浮选泡沫图像纹理特征提取
Flotation froth image texture extraction based on LBPV
摘要
Abstract
In the flotation process, the surface features of the cleaner froth had close connection with the flotation production condition and reflected the mineralization of foam layer( concentrate grade). In order to optimize the flotation operation, this paper proposed a method of LBPV to extract the bubble texture features. The features of bubble image were extracted on the combination of local texture spatial structures and contrast features. LBPV texture features used in the cluster analysis of the flotation operation condition state. Clustering results show that the texture feature are efficient in reflecting the bubble states and can obtain better clustering quality of flotation foam.关键词
浮选泡沫图像/纹理/局部二进制模式方差/浮选工况/聚类分析Key words
flotation froth image/ texture/ local binary pattern variance/ flotation production conditions/ clustering analysis分类
信息技术与安全科学引用本文复制引用
唐朝晖,朱楚构,刘金平..基于LBPV的浮选泡沫图像纹理特征提取[J].计算机应用研究,2011,28(10):3934-3936,3.基金项目
国家自然科学基金资助项目(61071176) （61071176）
