摘要
研究了煤和矸石图像的数字特征,通过特征提取、边缘加强、灰度比较,对图像进行了分割,得到了煤和矸石的各自区域,进行了煤和矸石的模式识别,提高了煤和矸石的自动分选率。
The paper investigates the digital characteristics of coal and gangue images. By extracting the characteristics, enhancing the edges and comparing the gradation, the image is segmented and the regions of coal and gangues are gained. The mode of coal gangues is recognized, thus the automatic separation rate of coal gangues is increased.
出处
《煤矿机电》
北大核心
2004年第5期9-11,共3页
Colliery Mechanical & Electrical Technology
基金
陕西省教育厅自然科学基金项目 (编号 :0 2JK1 0 9)
关键词
煤和矸石
图像处理
特征提取
模式识别
coal gangue
image processing
feature extraction
pattern recognition
