• DocumentCode
    2319316
  • Title

    CT number in wood physical properties prediction based on computed tomography technology

  • Author

    Gu, Haiyan ; Yu, Lei ; Wang, Yong

  • Author_Institution
    Coll. of Sci., Northeast Forestry Univ., Harbin, China
  • fYear
    2010
  • fDate
    16-20 Aug. 2010
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    X-ray computed tomography (CT) scanning technology has been applied to the detection of internal defects in logs for the purpose of obtaining prior information that can be used to arrive at better log sawing decisions. In addition to the recognition of wood internal defects, computed tomography technology can be applied to wood nondestructive testing. In the paper the range of CT number in different wood tomography slices can be calculated in statistic method, and then the parameters of CT window level and window width in wood testing procedure are set to get good visual image. Wood density, which has close relationship with other properties in the wood, is vital in wood physical properties testing. The regression curve between CT number and wood density is modeled. A method for the nondestructive testing based on computed tomography is provided in wood defect and wood density.
  • Keywords
    computerised tomography; forestry; nondestructive testing; regression analysis; sawing; wood; CT number; CT window level; X-ray computed tomography scanning technology; log internal defect detection; log sawing decisions; regression curve; statistic method; wood density; wood nondestructive testing; wood physical properties prediction; wood tomography slices; Attenuation; Computed tomography; Radiography; Spatial resolution; Testing; X-ray imaging; CT number; CT window setting; Computed tomography; Wood density; Wood nondestructive testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong and Macau
  • Print_ISBN
    978-1-4244-8375-4
  • Electronic_ISBN
    978-1-4244-8374-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2010.5585293
  • Filename
    5585293