期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：4
页码：61-68
DOI：10.14257/ijsip.2016.9.4.06
出版社：SERSC
摘要：To research coal-rock interface automatic recognition technology, a method of characteristic analysis and recognition of coal-rock interface based on visual technology is proposed. Firstly according to the coal and rock image, we analyze the texture difference between coal and rock. Secondly we calculate four texture feature values based on spatial gray co-occurrence matrix method. Thirdly the coal-rock is recognized using neural network trained by texture feature. The result shows that there is a great difference of texture feature between coal and rock. Coal and rock can be recognized use Energy, contrast, correlation, entropy as feature vector. In addition, entropy has a better effect in recognition.
关键词：; Visual technology; Texture characteristic; Network; Coal and rock ; recognition
