| 基于岩土材料层析成像的孔隙网络构建算法 |
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| 引用本文： | 任显卓,LINDEN Joost van der,NARSILIO Guillermo.基于岩土材料层析成像的孔隙网络构建算法[J].现代地质,2019,33(2):345-356. |
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| 作者姓名： | 任显卓 LINDEN Joost van der NARSILIO Guillermo |
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| 作者单位： | 1.澳大利亚墨尔本大学 信息技术学院,维多利亚 墨尔本 VIC31522.澳大利亚墨尔本大学 结构工程学院,维多利亚 墨尔本 VIC3152 |
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| 基金项目： | 山东招金集团有限公司委托科技合作项目 |
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| 摘 要： | 孔隙网络模型是研究多孔介质和其中颗粒的关键。现有的构建孔隙网络模型的算法有许多,但人们开始越来越多地研究基于图像的算法。将讨论一种基于中轴线的孔隙网络构建算法,并且对原有算法中孔隙中心表示方法不合理及缺少中轴线上各点坐标的问题提出改进,改进后的算法提出了孔隙中心的另一种表示方法,并且中轴线上任一点的坐标都被标出。在构建孔隙网络模型后利用该模型计算孔隙体积和喉径,并且针对过度分割的问题提出基于欧氏距离及基于分水岭算法的两种融合算法对孔隙和孔喉进行融合。
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| 关 键 词： | 孔隙网络 孔喉 岩土材料 层析成像 图像处理 |
| 收稿时间： | 2018-11-13 |
| 修稿时间： | 2019-01-05 |
Developing a Pore Network Construction Algorithm for Computerized Tomography Images of Geomaterials |
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| REN Xianzhuo,LINDEN Joost van der,NARSILIO Guillermo.Developing a Pore Network Construction Algorithm for Computerized Tomography Images of Geomaterials[J].Geoscience——Journal of Graduate School,China University of Geosciences,2019,33(2):345-356. |
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| Authors: | REN Xianzhuo LINDEN Joost van der NARSILIO Guillermo |
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| Institution: | 1. Department of Information Technology, University of Melbourne, Melbourne,Victoria VIC3152,Australia2. Department of Infrastructure Engineering, University of Melbourne, Melbourne,Victoria VIC3152,Australia |
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| Abstract: | Pore network model is important in researching for granular or porous media.Many methods have been proposed to construct a pore network, and researchers have put increasing efforts on the image-based methods. This paper presents a pore network construction method based on the medial axis method, as the original method cannot represent the pore center correctly and the coordinates of the axial points are unknown. The improved method proposed in this study represents the pore centers, and the coordinates of all axial points are accessible. After constructing the pore network, the pore volume and throat size can be calculated. Our work also presents an Euclidean distance-based and a watershed-based method to solve the over-segmentation problem. |
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| Keywords: | pore network throat geomaterial tomography image process |
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