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Tomographic Image Reconstruction Using an Interpolation Method for Tree Decay DetectionAuthor(s): Hailin Feng; Guanghui Li; Sheng Fu; Xiping Wang
Source: BioResources, Volume 9, Number 2, 2014; pp. 3248-3263
Publication Series: Scientific Journal (JRNL)
Station: Forest Products Laboratory
PDF: Download Publication (3.19 MB)
DescriptionStress wave velocity has been traditionally regarded as an indicator of the extent of damage inside wood. This paper aimed to detect internal decay of urban trees through reconstructing tomographic image of the cross section of a tree trunk. A grid model covering the cross section area of a tree trunk was defined with some assumptions. Stress wave data were processed beforehand to obtain the propagation velocity and the coordinate values. An image reconstruction algorithm for detecting internal decay was proposed based on an interpolation method, which estimated the velocity values of unknown grid points by utilizing the values of the surrounding points. To test the effectiveness of this method, Cinnamomum camphora tree samples were selected and tested using a stress wave tool. The area, positions, and extent of decay in the representative samples were displayed in tomographic images constructed by the interpolation method, and the results demonstrate the performance of the method.
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CitationFeng, Hailin; Li, Guanghui; Fu, Sheng; Wang, Xiping. 2014. Tomographic Image Reconstruction Using an Interpolation Method for Tree Decay Detection. BioResources, Volume 9, Number 2, 2014; pp. 3248-3263.
KeywordsStress wave, Tomography, Internal decay, Nondestructive testing, Trees
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