Cookies Policy

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies.

I accept this policy

Find out more here

A Visual Information Assessment Tool for Resin Canal Identification and Property Measurement

No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.

Brill’s MyBook program is exclusively available on BrillOnline Books and Journals. Students and scholars affiliated with an institution that has purchased a Brill E-Book on the BrillOnline platform automatically have access to the MyBook option for the title(s) acquired by the Library. Brill MyBook is a print-on-demand paperback copy which is sold at a favorably uniform low price.

Access this article

+ Tax (if applicable)
Add to Favorites
You must be logged in to use this functionality

image of IAWA Journal

Resin canal studies rely on the accurate measurement of various resin canal properties. The conventional approach of manually marking resin canals on a wood sample is not only labour intensive but, more importantly, unable to quantify the visual information of resin canals, such as the size and contrast of a resin canal. This paper describes a semiautomatic visual information processing approach that was developed to identify resin canals and growth rings from colour-scanned images of the transverse surface of polished wood samples, and to quantify the characteristics of resin canals by ring-based statistical measures in terms of the area of a resin canal occupied, colour contrast of a resin canal to its surrounding material and resin canals occurrence frequency within a growth ring. The proposed approach endeavours to automate the analysis as far as practicable. Interactive facilities are provided for correcting decisions made by the automated analysis, wherever necessary. The method of resin canal detection, based on image processing techniques, provides an effective solution to many problems that require feature identification and assessment. The proposed approach was used to assess variation in axial resin canals in radiata pine across different sites.


Full text loading...


Data & Media loading...

Article metrics loading...



Can't access your account?
  • Tools

  • Add to Favorites
  • Printable version
  • Email this page
  • Subscribe to ToC alert
  • Get permissions
  • Recommend to your library

    You must fill out fields marked with: *

    Librarian details
    Your details
    Why are you recommending this title?
    Select reason:
    IAWA Journal — Recommend this title to your library
  • Export citations
  • Key

  • Full access
  • Open Access
  • Partial/No accessInformation