DEVELOPMENT AND EVALUATION OF A PROTOTYPE TO CLASSIFY LUMBER USING ARTIFICIAL VISION TECHNIQUES

被引：0
|
作者：
Gomes, Jose Marcelo [1 ]
de Carvalho Pinto, Francisco de Assis [2 ]
Della Lucia, Ricardo Marius [3 ]
Khoury Junior, Joseph Kalil [4 ]
机构：
[1] Univ Fed Vicosa, Colegio Aplicacao COLUNI, Vicosa, MG, Brazil
[2] Univ Fed Vicosa, Dept Agr Engn, Vicosa, MG, Brazil
[3] Univ Fed Vicosa, Dept Engn Florestal, Vicosa, MG, Brazil
[4] Univ Fed Vicosa, Dept Engn Prod & Mecan, Vicosa, MG, Brazil
来源：
REVISTA ARVORE | 2008年 / 32卷 / 05期
关键词：
Image processing; lumber grading and web inspection;
D O I：
10.1590/S0100-67622008000500020
中图分类号：
S7 [林业];
学科分类号：
0829 ; 0907 ;
摘要：
Lumber quality is determined by the defects presented and other characteristics such as: size, position, amount and type. The purpose of this research was to develop and evaluate a prototype to classify eucalyptus lumber using digital images. This prototype was built with a conveyor belt where the lumbers are inserted for image acquisition. Either the Brazilian standard (ABNT) or the commercial rule can be used for classification. The process can be followed in a microcomputer that shows the lumber image with its final grade. The overall accuracy rate in the classification process was 64.3% using the ABNT norm, and 81.0% percent using the commercial norm. Productivity of the developed prototype was 7.9 m(3) h(-1)
引用
收藏
页码：949 / 959
页数：11
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