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Genetic learning based texture surface inspection

Zheng, H., Nahavandi, Saeid, Pan, L. and Xiang, Yong 2003, Genetic learning based texture surface inspection, in Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2001 : 28-30 November 2001, Singapore, CIRAS Organising Committee, Singapore.

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Title Genetic learning based texture surface inspection
Author(s) Zheng, H.
Nahavandi, Saeid
Pan, L.
Xiang, Yong
Conference name International Conference on Computational Intelligence, Robotics and Autonomous Systems (2001 : Singapore)
Conference location Singapore
Conference dates 15-18 December 2003 2003
Title of proceedings Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2001 : 28-30 November 2001, Singapore
Editor(s) Vadakkepat, Prahlad
Wan, Tan Woei
Chen, Tan Kay
Poh, Loh Ai
Publication date 2003
Publisher CIRAS Organising Committee
Place of publication Singapore
Summary 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.
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ISSN 0219-6131
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, CIRAS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005139

Document type: Conference Paper
Collections: School of Engineering and Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.