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Genetic learning based texture surface inspection

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conference contribution
posted on 2003-01-01, 00:00 authored by H Zheng, Saeid NahavandiSaeid Nahavandi, L Pan, Yong XiangYong Xiang
This paper presents a novel approach of visual inspection for texture surface defects. It is based on the measure of texture energy acquired by a kind if high performance 2D detection mask, which is learned by genetic algorithms. Experimental results of texture defect inspection on textile images are presented to illustrate the merit and feasibility of the proposed method.

History

Title of proceedings

Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2001 : 28-30 November 2001, Singapore

Event

International Conference on Computational Intelligence, Robotics and Autonomous Systems (2001 : Singapore)

Publisher

CIRAS Organising Committee

Location

Singapore

Place of publication

Singapore

Start date

2003-12-15

End date

2003-12-18

ISSN

0219-6131

Language

eng

Notes

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Publication classification

E1 Full written paper - refereed

Copyright notice

2003, CIRAS

Editor/Contributor(s)

P Vadakkepat, T Wan, T Chen, L Poh

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