中文摘要：

在详细分析电煤图像及其对应的煤质指标数据的基础上,针对当前煤质指标检测工具时效性差的问题,提出一种基于电煤图像数据分析的煤质指标检测方法。利用图像识别技术对煤质指标进行快捷检测,分为电煤图像预处理、图像特征提取与选择和分类决策3部分。实验结果表明,该检测方法是可行的,选择颜色直方图和Tamura纹理特征综合进行煤质指标检测具有较高准确率。

英文摘要：

On the basis of a detailed analysis of coal images and its corresponding coal quality index,the method of coal quality index detection based on big data analyses of coal images was proposed.Image recognition technology was used and coal image preprocessing,image feature extraction and selection and classification decision were included.Experimental results show that the proposed method is feasible,and selecting color histogram and Tamura texture feature to test coal quality index has higher accuracy rate.