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

作　　者：伍法权[1,2] 夏毓 何林恺 WU Faquan;XIA Yu;HE Linkai(Shaoxing University,Shaoxing 312000,China;Zhejiang Key Laboratory of Rock Mechanics and Geological Hazards,Shaoxing 312000,China)

机构地区：[1]绍兴文理学院,绍兴312000 [2]浙江省岩石力学与地质灾害重点实验室,绍兴312000

出　　处：《工程地质学报》2024年第6期2064-2071,共8页Journal of Engineering Geology

基　　金：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)。

摘　　要：采样窗方法是获取岩体结构面信息的重要手段,在野外勘测中获取岩体数据多为人工测量,为了更好地提取地质信息,利用数字图像处理技术展开研究。本文提出的基于Canny算法的岩体信息检测方法,能更精准快速地获取岩体裂隙信息。直接拍摄的岩体裂隙图像受噪声影响,先使用自适应高斯滤波进行降噪,再基于Canny算法提取边界,根据提取结果,将处理后的图像赋以距离、角度和长度等阈值进行优化,得到精度较高的裂隙图。将所获的裂隙图根据角度进行分组,利用形态学获取裂隙数目。本文方法应用于岩体图像,以浙江嵊州某矿山为研究对象,采用人机交互的手段,基于采样窗进一步获取岩体平均迹长和法向密度、面积密度和体积密度,测试该方法的有效性。本文最后以浙江嵊州某矿山为研究对象,结果表明:对于存在明显裂隙的岩体,该算法能够实现较准确的提取,所提出的方法裂隙提取精准度高于93%,有效提高了岩体图像处理的精确性和完整性。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 techniques.In the research,gaussian adaptive filtering completed image noise reduction,which can reduce the influence 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 

分 类 号：TD15[矿业工程—矿山地质测量]