A computer vision system for lumber production planning
Bhandarkar, S.M.
Faust, T.D.
Mengjin Tang
Dept. of Comput. Sci., Georgia Univ., Athens, GA ;
This paper appears in: Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Publication Date: 19-21 Oct 1998
On page(s): 134-139
Meeting Date: 10/19/1998 - 10/21/1998
Location: Princeton, NJ, USA
ISBN: 0-8186-8606-5
References Cited: 10
INSPEC Accession Number: 6096817
Digital Object Identifier: 10.1109/ACV.1998.732870
Current Version Published: 2002-08-06
Abstract
A computer vision-based system for lumber production planning is
described. Computer axial tomography (CT or CAT) images of hardwood logs
are analyzed for identification and classification of internal log
defects. Individual CT image slices are analyzed for detection of 2-D
defects which are correlated across CT image slices in order to
establish 3-D support and identify true 3-D defects. Currently, the
system is capable of 3-D reconstruction and rendering of the log and its
internal defects from the individual CT image slices. It is also capable
of simulation and rendering of key machining operations such as sawing
and veneering on the 3-D reconstructions of the logs. From the 3-D
reconstruction of the log and knowledge of its internal defects, the
system can formulate sawing strategies to optimize the yield and grade
of the resulting lumber. The system is intended as a decision aid for
lumber production planning and an interactive training tool for novice
sawyers and machinists
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