基于钻孔图像的岩体结构面几何信息智能测量

针对钻孔图像中岩体结构面形态特征，提出了一种基于Canny检测的岩体结构面几何信息智能测量方法。该方法首先采用灰度共生矩阵特征参数，在长幅钻孔图像中定位结构面区域；然后，对识别的结构面区域，采用Canny检测算法识别出结构面边缘，并通过边缘连接和合适的阈值筛选边缘，提取出结构面上下边缘；最后，对结构面边缘进行三角函数拟合，得到结构面上下边缘的正弦曲线，结合立体空间几何理论，从而计算出岩体结构面的倾向、倾角、隙宽等参数。以如美水电站坝址区两钻孔为例，基于本算法提取结构面几何信息，并与已有成功算法进行对比得到了较为一致的结果，证明了算法的可行性。

Intelligent measurement on geometric information of rock discontinuities based on borehole image

To extract accurately rock discontinuities from the borehole images and measure automatically the corresponding geometric information, an intelligent recognition method based on the edge detection algorithm was proposed in this study. Firstly, the feature parameters related to gray level co-occurrence matrix were calculated to locate the rock discontinuities areas in the long borehole images, and Canny edge detector was employed to identify the rock discontinuities edge in these located rock discontinuities areas. Secondly the upper and lower edges of rock discontinuities were extracted through the edge-edge connection and appropriate threshold selection. Thirdly, the rock discontinuities edge trigonometric function was fitted to obtain the sinusoidal curve of the upper and lower edges of the rock discontinuities, and several geometric parameters of the rock discontinuities, such as the dip direction, dip angle and aperture were computed through spatial geometric theory. In the case study, images of borehole wall were recorded in two boreholes in the dam site of Rumei hydropower station, and the geometric data of rock discontinuities derived from the proposed method matched the data obtained from other existing approaches, verifying the feasibility of this method.