首页|Digital image processing-based automatic detection algorithm of cross joint trace and its application in mining roadway excavation practice
Digital image processing-based automatic detection algorithm of cross joint trace and its application in mining roadway excavation practice
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NETL
NSTL
万方数据
维普
This paper proposes a digital image processing-based detection algorithm for cross joint traces of coal roadway heading face.Initially,the acquired images were preprocessed,i.e.,adaptive correction was con-ducted for non-uniform illumination images based on the 2D gamma function.The edge detection algo-rithm was then applied to extract the edges of the structural plane,followed by the filtration of the non-structural plane noises.Moreover,the Hough transform algorithm was applied to extract the linear edges;finally,the edges were locally connected in accordance with the angle and distance criteria.The experimental results show that this algorithm can be used to reduce the noise caused by non-uniform illumination and avoid the mutual interference of multi-scale edges,so as to effectively extract the traces of the cross joint.Furthermore,Q-system and rock mass rating(RMR),were applied to conduct a quan-titative evaluation on the stand-up time of unsupported roof in the four test images.The Q-system qual-ity scores are 26.7,43.3,3.1,and 6.7,and the RMR quality scores are 56.84,58.73,48.42,and 51.42,respectively.The stand-up time of unsupported roofs with a span of 4.6 m are 30,36,7.7 and 14 d,respectively.
Coal roadwayCross jointImage detectionStand-up time evaluation
Yuxin Yuan、Nong Zhang、Changliang Han、Sen Yang、Zhengzheng Xie、Jin Wang
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State Key Laboratory of Coal Resources and Safe Mining,School of Mines,China University of Mining and Technology,Xuzhou 221116,China
School of Civil Engineering,Xuzhou University of Technology,Xuzhou 221000,China
School of Energy Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,China
NETL
NSTL
万方数据
维普
