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Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme
Joint Authors
Source
International Journal of Optics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Wood grading and wood price are mainly connected with the wood defect and wood species.
In this paper, a wood defect quantitative detection scheme and a wood species qualitative identification scheme are proposed simultaneously based on 3D laser scanning point cloud.
First, an Artec 3D scanner is used to scan the wood surface to get the 3D point cloud.
Each 3D point contains its X, Y, and Z coordinate and its RGB color information.
After preprocessing, the Z coordinate value of current point is compared with the set threshold to judge whether it is a defect point (i.e., cavity, worm tunnel, and crack).
Second, a deep preferred search algorithm is used to segment the retained defect points marked with different colors.
The integration algorithm is used to calculate the surface area and volume of every defect.
Finally, wood species identification is performed with the wood surface’s color information.
The color moments of scanned points are used for classification, but the defect points are not used.
Experiments indicate that our scheme can accurately measure the surface areas and volumes of cavity, worm tunnel, and crack on wood surface with measurement error less than 5% and it can also reach a wood species recognition accuracy of 95%.
American Psychological Association (APA)
Peng, Zhao& Yue, Li& Xiao, Ning. 2016. Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme. International Journal of Optics،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106373
Modern Language Association (MLA)
Peng, Zhao…[et al.]. Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme. International Journal of Optics No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1106373
American Medical Association (AMA)
Peng, Zhao& Yue, Li& Xiao, Ning. Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme. International Journal of Optics. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106373
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106373