Image Enhancement Method in Underground Coal Mines Based on an Improved Particle Swarm Optimization Algorithm
-
Published:2023-03-03
Issue:5
Volume:13
Page:3254
-
ISSN:2076-3417
-
Container-title:Applied Sciences
-
language:en
-
Short-container-title:Applied Sciences
Author:
Dai Lili1, Qi Peng2ORCID, Lu He12, Liu Xinhua2, Hua Dezheng2, Guo Xiaoqiang2ORCID
Affiliation:
1. Institute of Smart Materials and Applied Technology, Lianyungang Normal College, Lianyungang 222006, China 2. School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 211006, China
Abstract
Due to the poor lighting conditions and the presence of a large amount of suspended dust in coal mines, obtained video has problems with uneven lighting and low differentiation of facial features. In order to address these problems, an improved image enhancement method is proposed. Firstly, the characteristics of underground coal mine images are analyzed, and median filtering is selected for noise removal. Then, the gamma function and fractional order operator are introduced, and an image enhancement algorithm based on particle swarm optimization is proposed. Finally, several experiments are conducted, and the results show that the proposed improved algorithm outperforms classical image enhancement algorithms, such as MSR, CLAHE and HF. Compared with the original image, the evaluation metrics of the enhanced Yale face images, including average local standard deviation, average gradient, information entropy and contrast, are improved by 113.1%, 63.8%, 22.8% and 24.1%, respectively. Moreover, the proposed algorithm achieves a superior enhancement effect in the simulated coal mine environment.
Funder
National Natural Science Foundation of China Independent Innovation Project of “Double-First Class” Construction of China University of Mining and Technology Natural Science Foundation of Jiangsu Province Jiangsu Funding Program for Excellent Postdoctoral Talent China Postdoctoral Science Foundation Qing Lan project for excellent teaching team of Jiangsu province Priority Academic Program Development of Jiangsu Higher Education Institutions
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference33 articles.
1. Wang, J.F., Feng, L.J., Zhao, Z., and Yu, H.J. (2011, January 22–23). Research on Underground Coal Mine Production Process Anlysis and Informatization. Proceedings of the International Conference on Engineering Materials, Energy, Management and Control, Beijing, China. 2. Zhong, T., Lou, P.J., Ruan, H.X., and Zhang, B. (2011, January 13–16). Construction of Coal Mine Comprehensive Informatization Based on Kilomega Fiber-optic Industry Ether Ring Network. Proceedings of the International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2011), Hangzhou, China. 3. Yu, K., Zhou, L.J., Liu, P.P., Chen, J., Miao, D.J., and Wang, J.S. (2022). Research on a Risk Early Warning Mathematical Model Based on Data Mining in China’s Coal Mine Management. Mathematics, 10. 4. Adaptive image enhancement algorithm based on the model of surface roughness detection system;Tian;Eurasip J. Image Video Process.,2018 5. Dim and Small Target Detection Based on Spiral Gradient Optimization Estimation and High-Order Correlation Enhancement;Fan;IEEE Access,2022
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|