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

@article{Bhandarkar2008AutomatedPA,
  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},
  year={2008},
  volume={5},
  pages={677-695}
}
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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