School of Mechnical Electronic & Information Engineering,China University of Mining & Technology(Beijing),Beijing　 100083,China

现今的煤岩图像识别方法取得了一些阶段性的成果,但还无法满足实际需求。为了挖掘新的煤岩图像识别方法,研究了基于字典学习的煤岩图像特征提取与识别技术,提出用字典学习算法提取煤岩图像特征。字典学习算法采用随机选择的方法对字典进行初始化和更新。结合分类算法对煤岩图像进行分类识别,结果表明:通过字典学习,能简单有效表达煤岩图像的特征信息,获得了较高的识别率,且该特征提取方式具有较好的发展前景。研究结果可为煤岩界面的自动识别提供新的思路和方法。

Currently the methods of coal-rock recognition have achieved some stage results,but this still cannot meet the production demands. In order to develop a new method of coal-rock recognition,the technique of coal-rock image feature extraction and recognition based on dictionary learning was researched. The dictionary learning algorithm is proposed to apply for extracting the feature of coal-rock image. The method of random selection is adopted to initialize and update the dictionary. The classification algorithm is adopted to identify the coal-rock image. The results show that the feature extraction method by dictionary learning can simply and effectively express the characteristic information of coal-rock image,and achieve a high recognition rate. Research results could provide a new method for the coal-rock in- terface automatic recognition.

2016年国家重点研发计划资助项目(2016YFC0801800)；国家自然科学基金资助重点资助项目(51134024)；

Wu Yunxia,Tian Yimin. Method of coal-rock image feature extraction and recognition based on dictionary learning[ J]. Journal of China Coal Society,2016,41(12):3190-3196.