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针对煤矿地质信息获取耗时且二、三维应用较少的问题,该文在总结前人研究成果的基础上,提出一种基于数字钻孔图像得到煤矿地下空间信息的方法;首先采用深度匹配算法实现全景环形孔壁图像的快速裁切;其次通过种子填充法实现多幅孔壁图像的自动无缝拼接得到完整钻孔图像;然后以此图像为底图进行地层素描以提取地下空间地质信息;最后利用提取后的信息生成二维钻孔柱状图和真实三维钻孔模型。实际应用表明,该方法可以满足矿山地质信息快速准确提取的要求。
Aiming at the problem of time-consuming acquisition of coal geological information and few applications of two-dimensional and three-dimensional data, a method of obtaining underground space information of coal mine based on digital drilling images is proposed based on the previous research results. Firstly, depth matching algorithm Secondly, a complete borehole image is obtained by automatic seamless splicing of multi-hole wall images by seed filling method. Then, the ground layer is sketched using this image as base map to extract geological information of subsurface space. Finally, the extracted information is used to generate a 2D drilling histogram and a real 3D drilling model. Practical application shows that this method can meet the requirements of rapid and accurate extraction of geological information in mines.