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Open AccessArticle

The Classification of Inertinite Macerals in Coal Based on the Multifractal Spectrum Method

1
School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China
2
Key Laboratory of Metallurgical Emission Reduction & Resources Recycling, Ministry of Education, Anhui University of Technology, Ma’anshan 243002, China
3
Anhui Key Laboratory of Clean Conversion and Utilization, Anhui University of Technology, Ma’anshan 243002, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(24), 5509; https://doi.org/10.3390/app9245509
Received: 12 November 2019 / Revised: 6 December 2019 / Accepted: 8 December 2019 / Published: 14 December 2019
(This article belongs to the Special Issue Advances in Image Processing, Analysis and Recognition Technology)
Considering the heterogeneous nature and non-stationary property of inertinite components, we propose a texture description method with a set of multifractal descriptors to identify different macerals with few but effective features. This method is based on the multifractal spectrum calculated from the method of multifractal detrended fluctuation analysis (MF-DFA). Additionally, microscopic images of inertinite macerals were analyzed, which were verified to possess the property of multifractal. Simultaneously, we made an attempt to assess the influences of noise and blur on multifractal descriptors; the multifractal analysis was proven to be robust and immune to image quality. Finally, a classification model with a support vector machine (SVM) was built to distinguish different inertinite macerals from microscopic images of coal. The performance evaluation proves that the proposed descriptors based on multifractal spectrum can be successfully applied in the classification of inertinite macerals. The average classification precision can reach 95.33%, higher than that of description method with gray level co-occurrence matrix (GLCM; about 7.99%). View Full-Text
Keywords: coal; inertinite macerals; classification; multifractal analysis; support vector machine coal; inertinite macerals; classification; multifractal analysis; support vector machine
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MDPI and ACS Style

Liu, M.; Wang, P.; Chen, S.; Zhang, D. The Classification of Inertinite Macerals in Coal Based on the Multifractal Spectrum Method. Appl. Sci. 2019, 9, 5509.

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