摘要
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.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2016年第12期3190-3196,共7页
Journal of China Coal Society
基金
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)
关键词
字典学习
煤岩图像
特征提取
煤岩识别
dictionary learning
coal-rock image
feature extraction
coal-rock recognition
