重庆大学学报2024，Vol.47Issue(2)：40-50,11.DOI:10.11835/j.issn.1000.582X.2024.02.005
数字钻孔图像岩体结构面自动化识别方法
Automatic identification of rock structure surface based on digital borehole images
摘要
Abstract
Digital borehole camera technology can accurately acquire information regarding the structural surface characteristics of rock within a borehole.To address the shortcomings such as labor-intensity,subjectivity,and computational intensity associated with existing digital borehole image analysis,this paper introduces a new analysis scheme to automate the recognition of borehole interior images captured by digital borehole camera technology.The proposed scheme begins by uniformly illuminating images using a two-dimensional gamma function light-adaptive correction algorithm.Next,edge features are extracted using a pre-trained DexiNed network.To tackle edge point noise and extract the region of interest,the Epremoval method is employed.Finally,the method performs polynomial fitting on the characterization data in the image utilizing the Taylor expansion of the sine curve.The parameters of the rock structure surface are obtained by calculation,spatial transformation and mathematical transformation of the obtained curves.The algorithm is applied to the digital borehole image of a tunnel project as an illustrative example.The obtained results are compared with the results of manual assisted interpretation,revealing superior recognition capabilities of the proposed method.关键词
数字钻孔图像/岩体结构面/感兴趣区域/泰勒展开式/多项式拟合Key words
digital drilling images/rock discontinuities/area of interest/Taylor expansion/polynomial fitting分类
建筑与水利引用本文复制引用
张占旭,苏俊辉,吕光祖,骆维斌,许存禄..数字钻孔图像岩体结构面自动化识别方法[J].重庆大学学报,2024,47(2):40-50,11.基金项目
甘肃省交通运输厅科技资助项目(2021-22) （2021-22）
甘肃省科技计划资助项目(22YF7GA003).Supported by the Science and Technology Project of the Gansu Provincial Department of Transportation(2021-22)and the Science and Technology Project of Gansu(22YF7GA003). （22YF7GA003）
