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Metal Mine ›› 2018, Vol. 47 ›› Issue (03): 146-150.

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Statistical Study on Burst Crack Pattern Based on Image Feature Extraction Technology

Si Jianfeng1,2,Zhong Dongwang1,2,Tu Shengwu1,2,Chen Chen1,2,Huang Xiong1,2   

  1. 1.College of Science,Wuhan University of Science and Technology,Wuhan 430065,China;2.Blasting Technology Research Center,Wuhan University of Science and Technology,Wuhan 430065,China
  • Online:2018-03-15 Published:2018-03-20

Abstract: In the case of high-speed photography to study the shape of blasting cracks,due to shooting light,viewing angle or dust generated by blasting and other reasons,the photo resolution is poor,it is difficult to see the cracks,which study the development of blasting cracks caused a great impact.Therefore,based on MATLAB platform,the design of drilling blasting crack recognition system for high-speed photographic images processing,the use of processed images to describe the shape and development of blasting cracks,and from the processing results to detect the crack data statistics,to facilitate the analysis of blasting cracks The law of development.The results show that the crack propagation data and the regularity are compared with those of the previous scholars,and the methods and theories of the crack detection and data processing are analyzed.

Key words: High speed photography, Blasting crack morphology, MATLAB, Image processing