摘要
岩石节理裂隙的发育程度对精确预测山体灾害起着重要的作用。利用数字图像方法测量岩石裂隙粗糙度,在基于VC平台下编程得到了岩石裂隙曲线波峰与波谷之差、角点个数、与其拟合直线的交点个数和宽度4个信息几何参数,用得到的参数分析了裂隙粗糙度,并对其进行了有效量化。通过大量实验证实,这4个参数与岩石裂隙粗糙度系数之间有明显的关系,用这4个参数来描述岩石裂隙的粗糙度是一个可行的方法。
This paper presents a method for measuring roughness of rock fractures based on digital image processing technique.Four self-defining geometirc characteristic parameters such as the difference between the wave crest and the trough of the rock curve,the number of corner points,the number of intersection points and the width between the rock curve and the fitting straight line were got under the VC platform.The joint roughness coefficients were analyzed and quantized by geometirc characteristic parameters.By analyzing and comparing the data from experiments,we find that there are obvious relations between these four parameters and roughness coefficient,showing that the new method is simple and feasible.
出处
《重庆邮电大学学报（自然科学版）》
北大核心
2010年第4期454-457,共4页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
TRUE(The Tracer Retention Understanding Experiments)瑞典SKB
欧盟联合支持
国家自然科学基金(60873186)~~
关键词
岩石裂隙
图像处理
裂隙粗糙度
角点分段
几何信息算法
rock fracture
image processing
joint roughness
corner segment
geometric information algorithm
