DocumentCode
3243083
Title
Feature extraction for defect classification in surfaces of wooden boards
Author
De Andrade, Manoel Gomes ; Gonzaga, Adilson
Author_Institution
Dept. de Eng. Electr., Sao Paulo Univ., Brazil
fYear
1996
fDate
9-11 Dec 1996
Firstpage
185
Lastpage
189
Abstract
The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated
Keywords
automatic optical inspection; feature extraction; flaw detection; image classification; wood processing; SGLDM; defect classification; feature extraction; industrial plant; pencil production; spatial gray level dependence method; wooden board surfaces; Application software; Collaboration; Feature extraction; Industrial plants; Inspection; Pixel; Production; Pulp manufacturing; Quality control; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetic Vision, 1996. Proceedings., Second Workshop on
Conference_Location
Sao Carlos
Print_ISBN
0-8186-8058-X
Type
conf
DOI
10.1109/CYBVIS.1996.629461
Filename
629461
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