Automatic image recognition system and key technologies of maceral group

被引：0

作者：

Song X. ^{[1
,2
]}

Zhang Q. ^{[1
,2
]}

机构：

[1] China Coal Research Institute, Beijing

[2] Xi'an Research Institute of China Coal Technology & Engineering group Corp., Xi'an

来源：

Meitan Xuebao/Journal of the China Coal Society | 2019年 / 44卷 / 10期

关键词：

Automatic recognition; Image analysis; K-means clustering algorithm; Maceral group; Software system;

D O I：

10.13225/j.cnki.jccs.2019.1103

中图分类号：

学科分类号：

摘要：

Coalification degree and macerals determine the physical and chemical properties as well as coking properties of coal. The automatic determination of vitrinite reflectance and macerals in coal can reduce the deviation from traditional manual determination. Also, it is quick and efficient, which makes it possible for the determination results of coal petrology to be used in coal classification and the processing and utilization of coal. Numerous research has been done worldwide in the automatic determination of coal petrology. The automatic determination of vitrinite reflectance has been achieved. However, due to the complexity of maceral composition and the influence of coalification degree, there are still many difficulties in the automatic recognition of macerals and image analysis. In this paper, the research focuses on these problems. The following results have been obtained:① the microscope-based hardware platform for micro-image automatic collection is developed, which includes three functional modules: autofocus, automatic scanning and automatic collection of micro-image. The workflow of automatic image recognition of maceral group is established. ② Micro-image de-noising pretreatment techniques are developed for segmenting resin from liptinite group and the brightened resin affected by reflection of coal particles below. Based on Prewitt operator, a removal technique of false boundary of maceral is also developed. ③ A K-means clustering-based image automatic segmentation and recognition technology of maceral groups is developed. ④ Automatic image recognition system of maceral group of bituminous coal is developed. Using the image automatic recognition system developed in this research, the representative samples of bituminous coal from different ranks in China are automatically collected and their macerals are automatically recognized. The results are compared with the standard results of manual identification done by domestic authoritative experts in coal petrology field. It is shown that the average deviation of the 45 samples in vitrinite, inertinite and liptinite group determined by the two methods are only 2.3%, 2.3% and 1.5% respectively. According to the accuracy analysis method in national standard GB/T 18510-2001, the statistic tc is less than the tt of three maceral groups. © 2019, Editorial Office of Journal of China Coal Society. All right reserved.

引用

页码：3085 / 3097

页数：12

共 24 条

[1]

Zhang Q., Pan Z., Establishment of macroscopic classification system for bituminous coal in China, Coal Geology & Exploration, 27, 2, pp. 2-5, (1999)

[2]

Gong Z., Zhang X., Grouping and nomenclature of microscopic constituents of humic coals, Journal of China Coal Society, 2, pp. 11-20, (1979)

[3]

Zhang X., Gong Z., Men G., Et al., Genetic-technical classification of bituminous coal, Journal of China Coal Society, 2, pp. 30-37, (1981)

[4]

Ye D., Xiao W., Luo J., Et al., Coal petrology blending prediction of coke strength, Feul & Chemical Processes, 29, 5, pp. 233-236, (1998)

[5]

Lester E., Allen M., Cloke M., Et al., An automated image analysis system for major maceral group analysis in coals, Fuel, 73, 11, pp. 1729-1734, (1994)

[6]

Cloke M., Lester E., Allen M., Et al., Repeatability of maceral analysis using image analysis systems, Fuel, 74, 5, pp. 654-658, (1995)

[7]

O'Brien G., Firth B., Adair B., The application of the coal grain analysis method to coal liberation studies, International Journal of Coal Preparation and Utilization, 31, 2, pp. 96-111, (2011)

[8]

Jin K., Xia J., The automated coal petrology in determining maceral group composition and the reflectance of vitrinite, Journal of China University of Mining & Technology, 1, pp. 60-67, (1986)

[9]

Hu D., Wang W., Liu Q., Development of digital automatically analysis technique for maceral specification, Iron and Steel, 40, 7, pp. 17-21, (2005)

[10]

Wang W., Hu D., Yin W., Et al., Design and implementaion of digital coal petrography analysis system, Journal of Image and Graphics, 8, 7, pp. 783-787, (2003)

← 1 2 3 →