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): Dongping Zhu; Richard W. Conners; Frederick Lamb; Philip A. Araman
    Date: 1991
    Source: Proceedings, 4th International Conference on Scanning Technology in the Wood Industry. pp. 1-13.
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (599 KB)


    A number of researchers have shown the ability of magnetic resonance imaging (MRI) and computer tomography (CT) imaging to detect internal defects in logs. However, if these devices are ever to play a role in the forest products industry, automatic methods for analyzing data from these devices must be developed. This paper reports research aimed at developing a computer vision system for locating and identifying internal defects in hardwood logs using CT imagery. This vision system can conceptually be divided into three components: a CT scanner based image acquisition system, a low-level module for image segmentation, and a high-level module for defect recognition. The processing steps involved in this vision system include CT data collection, image segmentation, three-dimensional volume growing, and a rule-based expert system for defect recognition. To date progress has been made on all these processing steps though the work on developing a rule-based expert system is really just getting underway. Experimental data is presented to show the progress that has been made on this vision system development.

    Publication Notes

    • You may send email to 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.


    Zhu, Dongping; Conners, Richard W.; Lamb, Frederick; Araman, Philip A. 1991. A Computer Vision System forLocating and Identifying Internal Log Defects Using CT Imagery. Proceedings, 4th International Conference on Scanning Technology in the Wood Industry. pp. 1-13.

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page