nahavandi-geneticlearningbased-2003.pdf (432.87 kB)
Genetic learning based texture surface inspection
conference contribution
posted on 2003-01-01, 00:00 authored by H Zheng, Saeid Nahavandi, L Pan, Yong XiangYong XiangThis 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, SingaporeEvent
International Conference on Computational Intelligence, Robotics and Autonomous Systems (2001 : Singapore)Publisher
CIRAS Organising CommitteeLocation
SingaporePlace of publication
SingaporeStart date
2003-12-15End date
2003-12-18ISSN
0219-6131Language
engNotes
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E1 Full written paper - refereedCopyright notice
2003, CIRASEditor/Contributor(s)
P Vadakkepat, T Wan, T Chen, L PohUsage metrics
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