NDLI: Meso-Structure Quantitative Research about Coals Based on the Digital Image Processing Technology

Content Provider	IEEE Xplore Digital Library
Author	Liu Jinhui Wu Nan Zhu Zhende Liu Chunmei Liu Qi
Copyright Year	2015
Description	Author affiliation: Res. Inst. of Geotech. Eng., Hohai Univ., Nanjing, China (Wu Nan; Zhu Zhende; Liu Chunmei; Liu Qi) \|\| Fucun Coal Mine of Zaozhuang Min. Group, Zaozhuang, China (Liu Jinhui)
Abstract	The coals of rich in cracks have low strength, large deformation and difficult to support, obtain triaxial compression test parameters by RMT-150B rock mechanics and concrete mechanical testing machine, the micro-structure of coals damage photos on coals samples fracture obtained by scanning electron microscope observations. Use the fissures information extraction software developed from MATLAB platform. This paper put forward a quantitative research idea to extract fracture morphology and the two-dimensional geometry of the coals micro-structure based on image enhancement and regional growing algorithm. At the same time, make a statistical analysis of coals samples triaxial compression fracture azimuth, width, length and other information. We obtain coals's strength and elastic modulus is lower and the presence of a large number of initial damage, with significant anisotropy and in homogeneity.
Sponsorship	Hunan Inst. Ind.
Starting Page	644
Ending Page	647
File Size	840930
Page Count	4
File Format	PDF
e-ISBN	9781467371438
DOI	10.1109/ICMTMA.2015.160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scanning electron microscopy Image coding Digital images Coal meso-structure Rocks coal SEM region growing method MATLAB
Content Type	Text
Resource Type	Article

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