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An automatic method for counting annual rings in noisy sawmill images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. (Centre for image analysis)
2009 (English)In: Image Analysis and Processing – ICIAP 2009, Springer Berlin / Heidelberg , 2009, 307-316 p.Conference paper, Published paper (Refereed)
Abstract [en]

The annual ring pattern of a log end face is related to the quality of the wood. We propose a method for computing the number of annual rings on a log end face depicted in sawmill production. The method is based on the grey-weighted polar distance transform and registration of detected rings from two different directions. The method is developed and evaluated on noisy images captured in on-line sawmill production at a Swedish sawmill during 2008, using an industrial colour camera. We have also evaluated the method using synthetic data with different ring widths, ring eccentricity, and noise levels.

Place, publisher, year, edition, pages
Springer Berlin / Heidelberg , 2009. 307-316 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5716
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-108590DOI: 10.1007/978-3-642-04146-4_34ISBN: 978-3-642-04145-7 (print)OAI: oai:DiVA.org:uu-108590DiVA: diva2:236523
Available from: 2009-09-23 Created: 2009-09-23 Last updated: 2015-01-16Bibliographically approved

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Norell, Kristin

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