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High-precision multi-curvature line-structured light center extraction algorithm based on a tooth model

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成果类型:
期刊论文
作者:
Tang, Qingshan;Jiang, Huang;Miao, Yongqi;Huang, Xinwei
通讯作者:
Tang, QS
作者机构:
[Miao, Yongqi; Huang, Xinwei; Tang, Qingshan; Jiang, Huang] Changsha Univ Sci & Technol, Sch Phys & Elect Sci, Hunan Prov Key Lab Flexible Elect Mat Genome Engn, Changsha, Peoples R China.
通讯机构:
[Tang, QS ] C
Changsha Univ Sci & Technol, Sch Phys & Elect Sci, Hunan Prov Key Lab Flexible Elect Mat Genome Engn, Changsha, Peoples R China.
语种:
英文
关键词:
3D modeling;Teeth;Optical engineering;Reconstruction algorithms;Image segmentation;Contour extraction;Detection and tracking algorithms;Object detection;Image enhancement;Point clouds
期刊:
Optical Engineering
ISSN:
0091-3286
年:
2023
卷:
62
期:
9
基金类别:
The authors declare that they have no known competing financial interests or personal relationships. Qingshan Tang: writing-original draft and revised this paper. Huang Jiang: contributed to the data analysis and the discussions. Yongqi Miao: contributed t
机构署名:
本校为第一且通讯机构
院系归属:
物理与电子科学学院
摘要:
Common line-structured light center extraction algorithms have limitations in accuracy and robustness when extracting the center of line-structured light obtained from objects with complex surface structures. In this study, we propose a high-precision center extraction algorithm for multi-curvature line-structured light. This algorithm improves the enhanced parallel thinning algorithm to eliminate redundant points and burrs and fills for missing center points at the end of the light stripe via the improved internal propulsion center extraction algorithm. Finally, sub-pixel centers are recalcul...

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