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    Author(s): D. Earl Kline; Y. Jason Hou; Richard W. Conners; Daniel L. Schmoldt; Philip A. Araman
    Date: 1992
    Source: Proceedings, 1992 International Meeting, American Society of Agricultural Engineers. pp. 1-14.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (149 KB)

    Description

    This paper describes research aimed at developing a machine vision technology to drive automated processes in the hardwood forest products manufacturing industry. An industrial-scale machine vision system has been designed to scan variable-size hardwood lumber for detecting important features that influence the grade and value of lumber such as knots, holes, wane, stain, checks, and splits. The system has also been designed to be general purpose so that a variety of different industrial-scale problems in the hardwood forest products manufacturing industry can be addressed.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Kline, D. Earl; Hou, Y. Jason; Conners, Richard W.; Schmoldt, Daniel L.; Araman, Philip A. 1992. Lumber Scanning System for Surface Defect Detection. Proceedings, 1992 International Meeting, American Society of Agricultural Engineers. pp. 1-14.

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