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): Richard W. Conners; Tai-Hoon Cho; Philip A. Araman
    Date: 1989
    Source: Proceedings, 17th Annual Hardwood Symposium, Hardwood Research Council. pp. 183-191.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (667 KB)

    Description

    Over the past few years significant progress has been made in developing a computer vision system for locating and identifying defects on surfaced hardwood lumber. Unfortunately, until September of 1988 little research had gone into developing methods for analyzing rough lumber. This task is arguably more complex than the analysis of surfaced lumber. The prime motivation for developing such a system is the goal of creating an automatic grading system. This paper reports progress that has been made in developing a vision system for locating and identifying defects on rough lumber. It will point out some problems that are unique to the analysis of rough lumber and will report studies aimed at addressing these problems.

    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

    Conners, Richard W.; Cho, Tai-Hoon; Araman, Philip A. 1989. Lumber Grading With A Computer Vision System. Proceedings, 17th Annual Hardwood Symposium, Hardwood Research Council. pp. 183-191.

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/384