Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Sang Mook Lee; A. Lynn Abbott; Daniel L. Schmoldt
    Date: 2001
    Source: Review of Progress in Nondestructive Evaluation. 20: 1950-1957.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (957.25 KB)

    Description

    This paper describes a prototype scanning system that can automatically identify several important defects on rough hardwood lumber. The scanning system utilizes 3 laser sources and an embedded-processor camera to capture and analyze profile and gray-scale images. The modular approach combines the detection of wane (the curved sides of a board, possibly containing residual bark) with classification of defects. For identifying clear(unblemished) wood, a multilayer perception network is used; and for other defects, statistically trained radial-basis-function networks are implemented, followed by a competitive decision scheme. The system is among the first to scan and evaluate lumber in its rough (unplaned) state.

    Publication Notes

    • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Lee, Sang Mook; Abbott, A. Lynn; Schmoldt, Daniel L. 2001. A modular approach to detection and identification of defects in rough lumber. Review of Progress in Nondestructive Evaluation. 20: 1950-1957.

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/2378