岩石三维图像裂缝提取方法  

Crack recognition of 3D rock images

作　　者：夏晨木 滕奇志[1] 卿粼波[1] 吴晓红[1] 何小海[1] XIA Chenmu;TENG Qizhi;QING Linbo;WU Xiaohong;HE Xiaohai(Institute of Image Information,College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电子信息学院图像信息研究所,成都610065

出　　处：《计算机工程与应用》2018年第17期186-191,共6页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61372174)

摘　　要：提出一种新的岩石三维图像裂缝提取算法。首先对三维岩石孔隙模型的每个连通分量执行表面重建、拉普拉斯网格平滑、网格简化等操作。根据三角网格面积和网格单位法向量方向特征,将三角网格划分为不同类别。利用形状因子判定每个三角网格类构成的三维空间结构是否具有裂缝特征。对具有裂缝特征的三维空间结构所包含的体素点集执行形态学膨胀操作,并与原始三维岩石孔隙模型连通分量的体素点集进行逻辑与操作,与操作结果即岩石裂缝。实验结果表明,该方法具有较好的裂缝提取效果。This paper presents a new three-dimensional image crack extraction algorithm. Firstly, surface reconstruction,Laplacian grid smoothing and mesh simplification are performed for each connected component of the three-dimensional rock pore model. According to the triangular mesh area and the grid unit normal vector direction feature, the triangular meshes are divided into different categories. The shape factor is used to determine whether the three-dimensional spatial structure of each triangular mesh class has a crack feature. The morphological dilation operation is performed on the set of voxels contained in the three-dimensional spatial structure with fracture characteristics. The intersection of the dilated voxels set and the voxels set of the connected components of the original three-dimensional rock pore model are rock cracks. The experimental results show that the method has a good effect of crack extraction.

关 键 词：岩石三维图像 裂缝识别 K-均值聚类 形状因子 形态学膨胀 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]