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  1. Using parallel computing methods to improve log surface defect detection methods

    Determining the size and location of surface defects is crucial to evaluating the potential yield and value of hardwood logs. Recently a surface defect detection algorithm was developed using the Java language. This algorithm was developed around an earlier laser scanning system that had poor resolution along the length of the log (15 scan lines per foot). A newer...

    Author(s):
    R. Edward Thomas; Liya Thomas
    Year:
    2013
    Keywords:
    hardwood, log, defect, automated detection, parallel processing
    Source:
    In: Ross, Robert J.; Wang, Xiping, eds. Proceedings, 18th International Nondestructive Testing and Evaluation of Wood Symposium; 2013 September 24-27; Madison, WI. Gen. Tech. Rep. FPL-226. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory: 196-205.

  2. Chemistry of wood in 3D: new infrared imaging

    Chemical detection, mapping and imaging in three dimensions will help refine our understanding of wood properties and durability. We describe here a pioneering infrared method to create visual 3D images of the chemicals in wood, providing for the first time, spatial and architectural information at the cellular level without liquid extraction or prior fixation....

    Author(s):
    Barbara L. Illman; Julia Sedlmair; Miriam Unger; Casey Crooks; Marli Oliveira; Carol Hirschmugl
    Year:
    2015
    Keywords:
    wood, tomography, Populus, infrared, FTIR, synchrotron, 3D imaging
    Source:
    Proceedings paper: 19th International Nondestructive Testing and Evaluation of Wood Symposium, September 22-15, Rio de Janeiro, Brazil. 2015; 5 p.

  3. Combining acoustic and laser scanning methods to improve hardwood log segregation

    The objective of this research was to examine the technical feasibility of combining acoustic wave data with high-resolution laser scanning data to improve accuracy of hardwood log defect detection and segregation. Using acoustic impact testing and high-resolution laser scanning techniques, 21 yellowpoplar logs obtained from the central Appalachian region were...

    Author(s):
    Xiping Wang; Ed Thomas; Feng Xu; Yunfei Liu; Victor Krause; Brian K. Brashaw; Robert J. Ross
    Year:
    2017
    Keywords:
    Acoustic velocity, damping ratio, impact testing, laser scanning, log defects, wavelet analysis, yellow-poplar
    Source:
    In: Wang, X.; Senalik, C.A.; Ross, R.J., eds. Proceedings, 20th international nondestructive testing and evaluation of wood symposium. Gen. Tech. Rep. FPL-GTR-249. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory: 433-448.
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