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Publication Information

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Title: Lumber Scanning System for Surface Defect Detection

Author: Kline, D. Earl; Hou, Y. Jason; Conners, Richard W.; Schmoldt, Daniel L.; Araman, Philip A.

Date: 1992

Source: Proceedings, 1992 International Meeting, American Society of Agricultural Engineers. pp. 1-14.

Publication Series: Not categorized

Description: This paper describes research aimed at developing a machine vision technology to drive automated processes in the hardwood forest products manufacturing industry. An industrial-scale machine vision system has been designed to scan variable-size hardwood lumber for detecting important features that influence the grade and value of lumber such as knots, holes, wane, stain, checks, and splits. The system has also been designed to be general purpose so that a variety of different industrial-scale problems in the hardwood forest products manufacturing industry can be addressed.

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Kline, D. Earl; Hou, Y. Jason; Conners, Richard W.; Schmoldt, Daniel L.; Araman, Philip A. 1992. Lumber Scanning System for Surface Defect Detection. Proceedings, 1992 International Meeting, American Society of Agricultural Engineers. pp. 1-14.

 


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