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
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;
Conference_Titel :
Cybernetic Vision, 1996. Proceedings., Second Workshop on
Conference_Location :
Sao Carlos
Print_ISBN :
0-8186-8058-X
DOI :
10.1109/CYBVIS.1996.629461
