工程地质学报2024，Vol.32Issue(6)：2064-2071,8.DOI:10.13544/j.cnki.jeg.2022-0588
基于采样窗的岩体裂隙图像信息检测方法研究
RESEARCH ON ROCK FRACTURE IMAGE INFORMATION DETECTION METHOD BASED ON SAMPLING WINDOW
摘要
Abstract
In order to increase the efficiency of rock information collection,this study focuses on tackling the issue of acquiring rock information via digital image techniques,integrating sample windows with image processing tech-niques.In the research,gaussian adaptive filtering completed image noise reduction,which can reduce the influ-ence of noise on the image.Canny algorithm extracted based on boundaries,the images were then improved using distance thresholding,angle thresholding,and length thresholding.At the same time,according to angles grouped the fracture images,morphological algorithms obtained the number of fractures.Through practical use in a mine in Shengzhou,Zhejiang Province,the viability and usefulness of this digital image processing approach in geological investigations were confirmed.The study is of some significance for the effective capture of rock information because the proposed method of fracture extraction shows accuracy levels higher than 93％.关键词
岩体信息/图像检测/岩体裂隙检测/采样窗/裂隙数量Key words
Rock mass information/Image detection/Rock mass crack detection/Sampling window/Number of cracks分类
矿业与冶金引用本文复制引用
伍法权,夏毓,何林恺..基于采样窗的岩体裂隙图像信息检测方法研究[J].工程地质学报,2024,32(6):2064-2071,8.基金项目
国家自然科学基金项目(资助号:41831290),浙江省科技厅重点研发项目(资助号:2020C03093).This research is supported by the National Natural Science Foundation of China(Grant No.41831290)and Key Research and Development Projects of Zhejiang Provincial Science and Technology Department(Grant No.2020C03093). （资助号:41831290）
