A prototype vision system for analyzing CT imagery of hardwood logs

To fully optimize the value of material produced from a hardwood log requires information about type and location of internal defects in the log. This paper describes a prototype vision system that automatically locates and identifies certain classes of defects in hardwood logs. This system uses com...

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Bibliographic Details
Published in:IEEE transactions on systems, man and cybernetics. Part B, Cybernetics man and cybernetics. Part B, Cybernetics, 1996-08, Vol.26 (4), p.522-532
Main Authors: Dongping Zhu, Conners, R.W., Schmoldt, D.L., Araman, P.A.
Format: Article
Language:English
Subjects:
Computed tomography
Image analysis
Machine vision
Prototypes
Testing
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Summary:To fully optimize the value of material produced from a hardwood log requires information about type and location of internal defects in the log. This paper describes a prototype vision system that automatically locates and identifies certain classes of defects in hardwood logs. This system uses computer tomograph (CT) imagery. The system uses a number of processing steps. A set of basic features are defined to capture basic 3-D characteristics of wood defects. For 3-D object (defect) recognition, a set of hypothesis tests are employed that use this set of features. To further help cope with the above mentioned variability, the Dempster-Shafer theory of evidential reasoning is used to classify defect objects. Results of preliminary experiments employing two different types of hardwood logs are given.
ISSN:1083-4419
1941-0492
DOI:10.1109/3477.517028