Three-dimensional rock mass structural plane trace extraction method based on voxel morphology

By employing voxel morphology methods, combined with robust stochastic Hough transform and improved K-means++ clustering, voxel mesh generation and morphological preprocessing were performed, solving the problems of low efficiency and poor accuracy in rock mass structural surface trace extraction, and achieving efficient and accurate automated extraction of three-dimensional traces.

CN121095489APending Publication Date: 2025-12-09GUANGXI NEW DEV TRANSPORT GRP CO LTD +2
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Patent Information

Application Number
CN202511091920.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-05
Publication Date
2025-12-09

AI Technical Summary

Technical Problem

Existing technologies for extracting traces from rock mass structures suffer from low efficiency, poor accuracy, and high risk. Furthermore, two-dimensional image methods are ineffective on complex or low-quality images, while automated extraction of three-dimensional models is costly, and existing methods struggle to accurately identify the true geometric shape of the traces.

Method used

A voxel morphology-based approach is adopted, which calculates the normal vector of the point cloud through robust stochastic Hough transform. The approach combines the normal vector neighborhood difference method and improved K-means++ clustering to separate trace points from plane points, performs voxel mesh generation and morphological preprocessing, and uses the branch structure connection method to topologically vectorize the voxel skeleton, remove redundant branches and single loops, and realize the connection and continuity of trace paths.

Benefits of technology

It improves the effectiveness and accuracy of rock mass structure surface trace extraction, provides higher-dimensional geological information, reduces the danger and computational cost of manual measurement, and achieves more efficient automated extraction.

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Abstract

The invention relates to the technical field of structural plane trace extraction, and discloses a voxel morphology-based three-dimensional rock mass structural plane trace extraction method, which comprises the following steps of: performing point cloud normal vector estimation on rock mass three-dimensional point cloud by adopting robust random Hough transform, calculating a three-dimensional curved surface feature value of the point cloud through a normal vector neighborhood difference method, and extracting the three-dimensional curved surface feature value of the point cloud according to the three-dimensional curved surface feature value. Separating trace points from plane points by adopting a clustering method; carrying out voxel grid division on the point cloud space according to the point density, and carrying out expansion and corrosion morphological preprocessing on a voxel grid; a branch structure connection method is adopted to vectorize the voxel skeleton topology so as to complete connection and penetration of trace paths, and redundant branches and single rings are removed at the same time. According to the invention, the trace extraction effect and precision are improved.
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