3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence
To improve the analysis ability of point cloud 3D reconstruction of sparse images of nano-ceramic sculpture points, an automatic cloud 3D reconstruction method of nano-ceramic sculpture points based on sparse image sequence is proposed. Firstly, 3D angle detection and edge contour feature extraction...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Analytical Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2022/5710535 |
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| _version_ | 1832558401886879744 |
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| author | Zeyin Yang |
| author_facet | Zeyin Yang |
| author_sort | Zeyin Yang |
| collection | DOAJ |
| description | To improve the analysis ability of point cloud 3D reconstruction of sparse images of nano-ceramic sculpture points, an automatic cloud 3D reconstruction method of nano-ceramic sculpture points based on sparse image sequence is proposed. Firstly, 3D angle detection and edge contour feature extraction methods are used to analyze 3D point cloud features of nano-ceramic sculpture point save image; secondly, the point cloud of the fuel economy image of nano-ceramic sculpture points is merged and the sloping action method is used to shape degradation to realize the information increase and fusion filtering of the fuel economy image of nano-ceramic sculpture points; finally, combined with the local mean denoising method, image is refined to improve the ability of sparse image outline structure of nano-ceramic sculpture points. The simulation results show that this method has high accuracy, good image matching ability, and high signal-to-noise ratio. |
| format | Article |
| id | doaj-art-9b696bb693a541e7945b219ee04a5955 |
| institution | Kabale University |
| issn | 1687-8779 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Analytical Chemistry |
| spelling | doaj-art-9b696bb693a541e7945b219ee04a59552025-02-03T01:32:29ZengWileyInternational Journal of Analytical Chemistry1687-87792022-01-01202210.1155/2022/57105353D Modeling of Sculpture Nano-Ceramics under Sparse Image SequenceZeyin Yang0Hefei Normal UniversityTo improve the analysis ability of point cloud 3D reconstruction of sparse images of nano-ceramic sculpture points, an automatic cloud 3D reconstruction method of nano-ceramic sculpture points based on sparse image sequence is proposed. Firstly, 3D angle detection and edge contour feature extraction methods are used to analyze 3D point cloud features of nano-ceramic sculpture point save image; secondly, the point cloud of the fuel economy image of nano-ceramic sculpture points is merged and the sloping action method is used to shape degradation to realize the information increase and fusion filtering of the fuel economy image of nano-ceramic sculpture points; finally, combined with the local mean denoising method, image is refined to improve the ability of sparse image outline structure of nano-ceramic sculpture points. The simulation results show that this method has high accuracy, good image matching ability, and high signal-to-noise ratio.http://dx.doi.org/10.1155/2022/5710535 |
| spellingShingle | Zeyin Yang 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence International Journal of Analytical Chemistry |
| title | 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence |
| title_full | 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence |
| title_fullStr | 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence |
| title_full_unstemmed | 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence |
| title_short | 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence |
| title_sort | 3d modeling of sculpture nano ceramics under sparse image sequence |
| url | http://dx.doi.org/10.1155/2022/5710535 |
| work_keys_str_mv | AT zeyinyang 3dmodelingofsculpturenanoceramicsundersparseimagesequence |