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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.
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