Automated Planning and Optimization of Lumber Production Using Machine Vision and Computed Tomography

  title={Automated Planning and Optimization of Lumber Production Using Machine Vision and Computed Tomography},
  author={Suchendra M. Bhandarkar and Xingzhi Luo and Richard F. Daniels and Ernest William Tollner},
  journal={IEEE Transactions on Automation Science and Engineering},
An automated system for planning and optimization of lumber production using Machine Vision and Computed Tomography (CT) is proposed. Cross-sectional CT images of hardwood logs are analyzed using machine vision algorithms. Internal defects in the hardwood logs pockets are identified and localized. A virtual in silico 3-D reconstruction of the hardwood log and its internal defects is generated using Kalman filter-based tracking algorithms. Various sawing operations are simulated on the virtual 3… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 33 references

The economic potential of CT scanners for hardwood sawmills

D. G. Hodges, W. C. Anderson, C. W. McMillin
Forest Products Journal, Vol. 40, No. 3, pp. 65–69 • 1990
View 5 Excerpts
Highly Influenced

Detection of internal log defects by automatic interpretation of computer tomography images

B. V. Funt, E. C. Bryant
Forest Products Journal, Vol. 37, No. 1, pp. 56–62 • 1987
View 4 Excerpts
Highly Influenced

Modelling of knots in logs

Wood Science and Technology • 2004
View 2 Excerpts

Combined primary and secondary log breakdown optimization

C. L. Todoroki, E. M. Rönnqvist
Jour. Operations Research Society, Vol. 50, pp. 219–229 • 1999

An introduction to UGRS: the ultimate grading and remanufacturing system

J. Moody, C. J. Gatchell, E. S. Walker, P. Klinkhachorn
Forest Products Journal, Vol. 48, No. 9, pp. 45–50 • 1998
View 1 Excerpt

Automated grading and defect detection: a review

D. T. Pham, R. J. Alcock
Forest Products Journal, Vol. 48, No. 4, pp. 34–42 • 1998
View 1 Excerpt

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