煤
煤粉锅炉
煤矸石
纹理(宇宙学)
水分
特征(语言学)
像素
灰色(单位)
环境科学
含水量
人工智能
计算机科学
工程类
采矿工程
废物管理
材料科学
岩土工程
冶金
图像(数学)
气象学
地理
哲学
放射科
医学
语言学
作者
Qisheng Luo,Shuang Wang,Yongcun Guo,Deyong Li,Lei He,Gang Cheng
标识
DOI:10.1080/19392699.2023.2282633
摘要
To improve the identification accuracy of coal gangue under the complex working conditions of pulverized coal and moisture adhesion on the surface, this paper studies the distribution difference of characteristic curves under five working conditions of different proportions of moisture and pulverized coal, and finds that moisture has a greater influence on gradient features, while pulverized coal has a greater influence on gray texture features. Then this paper studies the distribution of coarse texture and fine texture in coal and gangue, and finds that there are many fine textures and few coarse textures on the surface of gangue, while coal shows the opposite law. In addition, the ratio of pixels with large gray value to pixels with small gray value can reduce the occurrence of noncompliance with the above laws. Finally, through the combination of coarse texture, fine texture, and gray value difference, the relief feature is put forward. Compared with different features, the average feature overlap ratio proposed in this paper is lower, at 23.83%. Compared with different methods, this method has a higher identification rate under different working conditions, and the average identification accuracy rate is 89.59%, which is at least 13.93% higher than other methods.
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