Identification Algorithm for Inner Surface of Bowl shaped Broken Pieces Based on Point Cloud Proportion and Smoothness
The bowlshaped broken pieces reassembly algorithm based on the inner surface characteristics can effectively avoid the over segmentation problem caused by the fracture surface, while the difficulty lies in the accurate extraction of inner surface Therefore, an identification algorithm for inner surf...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2020-06-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1788 |
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| Summary: | The bowlshaped broken pieces reassembly algorithm based on the inner surface characteristics can effectively avoid the over segmentation problem caused by the fracture surface, while the difficulty lies in the accurate extraction of inner surface Therefore, an identification algorithm for inner surface of bowlshaped broken pieces based on point cloud proportion and smoothness is proposed Firstly, the surface of bowlshaped broken pieces is divided into fracture surface, bottom surface, original surface, inner surface and outer surface based on the region growing algorithm And then, according to the significant difference of point cloud proportion, the inner surface and outer surface are identified from the segmented surface group Finally, the inner surface is extracted by the smoothness value The experimental results show that this algorithm can accurately extract the inner surface of bowlshaped broken pieces and has a higher calculation speed than other algorithm |
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| ISSN: | 1007-2683 |