NDLI: Enhancement of annual rings on industrial CT images of logs

Content Provider	IEEE Xplore Digital Library
Author	Andreu, J.-P. Rinnhofer, A.
Copyright Year	2002
Description	Author affiliation: JOANNEUM RESEARCH, Inst. of Digital Image Process., Graz, Austria (Andreu, J.-P.; Rinnhofer, A.)
Abstract	Many researchers have shown the ability of X-ray computer tomography (CT) of acquiring knowledge about the internal structure of logs. Contrarily to medical CT scanners, industrial CT scanners should satisfy more extreme constraints (in terms of speed, duty cycle, radiation safety, reconstruction circle and aperture size) in order to be used in a sawmill environment. All these factors lower the quality of industrial CT images while automatic methods for analyzing data are required. To ensure good performances and robustness, an automatic system should adapt to the quality of the input images. The paper focuses on an algorithm which can adaptively improve the contrast of the ridge and valley structure of annual rings in CT images of wooden logs. We also show that this algorithm does not only help in segmenting annual rings but also gives with little adaptation a good approximation of the localization of the pith.
Starting Page	261
Ending Page	264
File Size	293769
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1047844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computed tomography X-ray imaging Biomedical imaging Radiation safety Image reconstruction Apertures Data analysis Image analysis Robustness Approximation algorithms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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