How Do You Rate This Publication?       

Title:	Lumber Scanning System for Surface Defect Detection
Author(s):	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.
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.
	View and Print this Publication (149 KB)
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. Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS Webmaster, srswebmaster@fs.fed.us if you notice any errors which make this publication unuseable.
	Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility