An Image Enhancement Method Based on the Coal Mine Monitoring System

Article Preview

Abstract:

For the low illumination and low contrast in the coal mine, images captured from the video monitor system sometimes are not so clear to help the related personal monitoring the production and safety of the mine. According to the special environment of coal mine, an image enhancement method was presented. In this method the impulse noise which is the mainly noise in the coal mine was first reduced with median filtering, then the low contrast and illumination was greatly improved with the improved adaptive histogram equalization. Experiments show that this method can improve the quality of images underground effectively.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

204-207

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] YUAN Xiao-ping: Application of Digital Video Monitoring Technique for Safety Production in Coal Mines.VIDEO ENGINEERING. NO.05 Vol.32 2008:90-92.

Google Scholar

[2] S.M. Mahbubur Rahman,M.Omair Ahmad, M.N.S. Swamy:Contrast-based fusion of noisy images using discrete wavelet transform. IET Image Process.,2010,Vol.4,Iss.5,pp.374-384.

DOI: 10.1049/iet-ipr.2009.0163

Google Scholar

[3] ZHOU Jie: The Modified Algorithms of Median Filtering Applicatied in Image Processing.Beijing University of Posts and Telecommunications, 2007:35-38.

Google Scholar

[4] GONG Xiao-lin,MAO Rui-quan,LIU Kai-hua:Wavelet Images Threshold Value De-noising Based on Adaptive Neighboring Coefficients.Computer Engineering.2010(6):206-208.

Google Scholar

[5] WANG Xiao-ming,HUANG Chang,ZHOU Chen-chen:A Fast Adaptive Algorithm for Image Enhancement. Computer System Application,2010(8):212-213.

Google Scholar

[6] Wang Ai-ling,Ye Ming-sheng,Deng Qiu-xiang:MATLAB R2007 Image Process and Application.Electronic Industry Press ,Beijing, 2008.

Google Scholar

[7] LI Xin-feng: A De-noising and Enhancing Method for Monitor Image in Coal Mine. CHINA INSTRUMENTATION, 2010(4):48-49.

Google Scholar