爆破裂纹形态统计的图像特征提取技术研究  

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

作　　者：司剑峰[1,2] 钟东望 涂圣武[1,2] 陈晨[1,2] 黄雄[1,2] Si Jianfeng1,2, Zhong Dongwang1,2, Tu Shengwu1,2, Chen Chen1,2, Huang Xiong1,2(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, Chin)

机构地区：[1]武汉科技大学理学院,湖北武汉430065 [2]武汉科技大学爆破技术研究中心,湖北武汉430065

出　　处：《金属矿山》2018年第3期146-150,共5页Metal Mine

基　　金：国家自然科学基金项目(编号:51174147;51574184);武汉科技大学青年骨干培育计划项目(编号:250089)

摘　　要：在用高速摄影研究爆破裂纹形态时,由于拍摄光线、视角或爆破产生的粉尘等原因,照片分辨率较差,很难看清裂纹,对研究爆破裂纹的扩展过程造成很大的影响。基于MATLAB平台,设计钻孔爆破裂纹识别系统对高速摄影图像进行处理,利用处理过的图像来描述爆破裂纹形态和发展,并从处理结果中检测出裂纹的数据进行统计,从而方便分析爆破裂纹发展的特征并得出其规律。将得到的裂纹扩展数据和规律与之前学者做过的类似研究结果进行了对比,分析二者的误差和区别,完善了爆破裂纹图像检测和数据处理的方法和理论。In the case of high-speed photography to study the shape of blasting cracks, due to shooting light, viewing an- gle 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.

关 键 词：高速摄影 爆破裂纹形态 MATLAB 图像处理 

分 类 号：TD235[矿业工程—矿井建设]