Full
Outline
To address the issues of low accuracy and poor robustness in hole detection within 3D scanned point clouds of automotive components, this paper proposes a hole detection method that integrates α-Shapes with geometric-topological dual constraints. First, an improved voxel filter is used to preprocess the point cloud for noise reduction; Subsequently, a multi-scale triangular mesh is constructed via α-Shapes, and potential hole regions are extracted by combining boundary analysis; Finally, curvature features and normal vector consistency constraints are introduced to screen for real holes.Experimental results show that on a dataset containing 30 groups of automotive component point clouds, the proposed method achieves a hole detection accuracy of 97.3%. Its recognition rate and efficiency are both improved compared with the traditional Delaunay algorithm, and it can effectively adapt to scenarios with complex surfaces and multi-scale holes.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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