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The application of ant colony systems to image texture classification

conference contribution
posted on 2003-01-01, 00:00 authored by H Zheng, Z Zheng, Yong XiangYong Xiang
This paper presents a novel ant system based optimisation method which integrates genetic algorithms and simplex algorithms. This method is able to not only speed up the search process for solutions, but also improve the quality of the solutions. In this paper, the proposed method is applied to set up a learning model for the "tuned" mask, which is used for texture classification. Experimental results on aerial images and comparisons with genetic algorithms and genetic simplex algorithms are presented to illustrate the merit and feasibility of the proposed method.

History

Title of proceedings

Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi'an, 2-5 November 2003

Event

International Conference on Machine Learning and Cybernetics (2nd : 2003 : Xi'an Shi, China)

Pagination

1491 - 1495

Publisher

IEEE

Location

China

Place of publication

Piscataway, NJ

Start date

2003-11-02

End date

2003-11-05

ISBN-10

0780378652

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2003, IEEE

Editor/Contributor(s)

X Wang, D Yeung

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