DocumentCode
3472556
Title
Application of X-ray Computed Tomography to Automatic Wood Testing
Author
Han, Shuxia ; Yu, Lei ; Qi, Dawei
Author_Institution
Northeast Forestry Univ., Harbin
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
1325
Lastpage
1330
Abstract
Wood has long been an important building material. The wide variety in appearance, strength properties and the possibility of different dimensions are some of the reasons why wood is still very attractive for this purpose. Computed tomography offers great potential for non-destructive testing of the internal structure of wood. In the paper, we apply the computed tomography (CT) technology for log nondestructive testing and calculate the CT number range of different wood tomography slices in statistic method, then the parameters of CT window level and window width in wood testing procedure were set. Because of the linear relationship between wood density and CT number the fitting linear formula between CT number and wood density was calculated. As for the defects in the wood X-ray computed tomography scanning technology is applied to the detection of internal defects for the purpose of obtaining prior information that can be used to arrive at better log sawing decision. A method in wood CT image edge detection of defects based on multifractal theory is applied in the paper.
Keywords
building materials; computerised tomography; edge detection; failure analysis; nondestructive testing; sawing; timber; wood; CT scanning technology; X-ray computed tomography; automatic wood testing; building material; image edge detection; log nondestructive testing; log sawing decision; multifractal theory; wood density; Automatic testing; Building materials; Computed tomography; Fitting; Nondestructive testing; Paper technology; Statistical analysis; X-ray detection; X-ray detectors; X-ray imaging; computed tomography technology; multifractal theory; nondestructive testing; wood CT number; wood density;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338775
Filename
4338775
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