3D Reconstruction of the Tree Internal Decay Based on Radar Waves
TRU Tree Radar is a new tool for the non-destructive testing of trees. In this work, two-dimensional images of the internal defect cross-section of a tree were reconstructed to provide a theoretical basis for accurately judging the shape and position of the internal decay, rationally using wood, and...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
North Carolina State University
2022-11-01
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| Series: | BioResources |
| Subjects: | |
| Online Access: | https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22082 |
| _version_ | 1797794825162981376 |
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| author | Meng Li Yong Xiang Kang Van Quy Nguyen Xu Zhen Gao Li Li Zhang Jin Ling Wang Xiao Qiang Zhou Gang Zhen Ma |
| author_facet | Meng Li Yong Xiang Kang Van Quy Nguyen Xu Zhen Gao Li Li Zhang Jin Ling Wang Xiao Qiang Zhou Gang Zhen Ma |
| author_sort | Meng Li |
| collection | DOAJ |
| description | TRU Tree Radar is a new tool for the non-destructive testing of trees. In this work, two-dimensional images of the internal defect cross-section of a tree were reconstructed to provide a theoretical basis for accurately judging the shape and position of the internal decay, rationally using wood, and improving the utilization rate of wood. Two-dimensional images of different height defect sequences of tree trunk obtained by TRU tree radar were preprocessed and interpolated. Finally, the three-dimensional reconstruction of internal defects of tree trunk was realized by the surface rendering method and volume rendering method under the Matlab environment. The surface rendering displayed the rough 3D model quickly and effectively. However, the important internal information was incomplete, and the reconstructed model was not intuitive. Volume rendering was used to process each voxel in the data set, so as to describe the physical reality of the internal defects of the tree relatively accurately. An algorithm was proposed to improve the visualization level of internal defects, which can enhance the understanding of the three-dimensional image. |
| first_indexed | 2024-03-13T03:08:39Z |
| format | Article |
| id | doaj.art-3b993e2cff424698acddc49a63bf36aa |
| institution | Directory Open Access Journal |
| issn | 1930-2126 |
| language | English |
| last_indexed | 2024-03-13T03:08:39Z |
| publishDate | 2022-11-01 |
| publisher | North Carolina State University |
| record_format | Article |
| series | BioResources |
| spelling | doaj.art-3b993e2cff424698acddc49a63bf36aa2023-06-26T18:26:00ZengNorth Carolina State UniversityBioResources1930-21262022-11-0117462776292843D Reconstruction of the Tree Internal Decay Based on Radar WavesMeng Li0Yong Xiang Kang1Van Quy Nguyen2Xu Zhen Gao3Li Li Zhang4Jin Ling Wang5Xiao Qiang Zhou6Gang Zhen Ma7Northwest A&F UniversityNorthwest A&F UniversityNorthwest A&F UniversityTaiyuan Institute of Cultural Relics ProtectionNorthwest A&F UniversityNorthwest A&F UniversityNorthwest A&F UniversityNorthwest A&F UniversityTRU Tree Radar is a new tool for the non-destructive testing of trees. In this work, two-dimensional images of the internal defect cross-section of a tree were reconstructed to provide a theoretical basis for accurately judging the shape and position of the internal decay, rationally using wood, and improving the utilization rate of wood. Two-dimensional images of different height defect sequences of tree trunk obtained by TRU tree radar were preprocessed and interpolated. Finally, the three-dimensional reconstruction of internal defects of tree trunk was realized by the surface rendering method and volume rendering method under the Matlab environment. The surface rendering displayed the rough 3D model quickly and effectively. However, the important internal information was incomplete, and the reconstructed model was not intuitive. Volume rendering was used to process each voxel in the data set, so as to describe the physical reality of the internal defects of the tree relatively accurately. An algorithm was proposed to improve the visualization level of internal defects, which can enhance the understanding of the three-dimensional image.https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22082tree decaytru tree radarsurface renderingvolume rendering3d reconstruction |
| spellingShingle | Meng Li Yong Xiang Kang Van Quy Nguyen Xu Zhen Gao Li Li Zhang Jin Ling Wang Xiao Qiang Zhou Gang Zhen Ma 3D Reconstruction of the Tree Internal Decay Based on Radar Waves BioResources tree decay tru tree radar surface rendering volume rendering 3d reconstruction |
| title | 3D Reconstruction of the Tree Internal Decay Based on Radar Waves |
| title_full | 3D Reconstruction of the Tree Internal Decay Based on Radar Waves |
| title_fullStr | 3D Reconstruction of the Tree Internal Decay Based on Radar Waves |
| title_full_unstemmed | 3D Reconstruction of the Tree Internal Decay Based on Radar Waves |
| title_short | 3D Reconstruction of the Tree Internal Decay Based on Radar Waves |
| title_sort | 3d reconstruction of the tree internal decay based on radar waves |
| topic | tree decay tru tree radar surface rendering volume rendering 3d reconstruction |
| url | https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22082 |
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