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Automated Grading of Rough Hardwood Lumber

Informally Refereed

Abstract

Any automatic hardwood grading system must have two components. The first of these is a computer vision system for locating and identifying defects on rough lumber. The second is a system for automatically grading boards based on the output of the computer vision system. This paper presents research results aimed at developing the first of these components. The challenge is to create robust methods that are species independent and that are computationally simple enough to allow real-time processing. This paper describes the necessary components for such a vision system and presents research results showing the progress that has been made on each of these components.

Citation

Conners, Richard W.; Cho, Tai-Hoon; Araman, Philip A. 1989. Automated Grading of Rough Hardwood Lumber. Proceedings, 3rd International Conference on Scanning Technology in Sawmilling. PP. 1-15.
https://www.fs.usda.gov/research/treesearch/432