基于图像处理的岩体结构面迹线自动检测
摘要:提出了一种自动检测岩体结构面迹线的方法,该方法通过特征过滤技术,处理边缘检测结果,利用结构面信息和非结构面噪声在像素连通区域上特定数学特征的普遍差异,滤除非结构面噪声,只保留结构面信息,从而直接提取结构面迹线。以甘肃北山花岗岩岩体露头面图像为研究对象,并利用该方法对其进行了MATLAB图像处理,得出岩体结构面迹线图。结果表明,对于结构面数量较多且分布复杂的岩体露头面图像,该方法能够快速且较为准确完整地自动检测出结构面迹线。
Abstract:A new methodology was presented for automatic detection of rock mass discontinuity trace.Based on edge detection and filter of characteristic,using of the differences of specific mathematical features on the connected pixel region between discontinuity information and non-discontinuity noise,non-discontinuity noise was filtered out and discontinuity information was left by this new methodology.Then,the discontinuity traces were detected automatically.Taking the image of rock mass discontinuity in Beishan for example,the image was processed in MATLAB by this methodology.The results showed that for a large variety of complex discontinuity image,the methodology can quickly and accurately detect the trace of rock mass discontinuity automatically.
中文标题：
基于图像处理的岩体结构面迹线自动检测
Automatic Detection of Rock Mass Discontinuity Trace Based on Digital Image Processing
作者：
况杰,章杨松
Kuang Jie,Zhang Yangsong
作者简介:况杰,男,1992年生,汉族,硕士研究生,岩土工程专业。E-mail:guanjiuzaici@163.com
通讯地址：
南京理工大学, 江苏南京 210094
NanjingUniversityofScienceandTechnology,Nanjing210094,Jiangsu,China
中图分类号:TU45
doi:10.3969/j.issn.1007-2993.2017.01.002
出版物：岩土工程技术
收稿日期:2016-09-12
网络出版日期:2021-07-06
关键词:岩体结构面,边缘检测,特征过滤,自动检测
Key words:rock mass discontinuity,edge detection,filter of characteristic,automatic detection
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基金项目：
基金项目: 国防科技重点项目(科工二司[2012]491号)
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