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Hybrid ant colony algorithm for texture classification

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conference contribution
posted on 2003-01-01, 00:00 authored by H Zheng, A Wong, Saeid Nahavandi
We present a novel ant colony algorithm integrating genetic algorithms and simplex algorithms. This method is able to not only speed up searching process for optimal solutions, but also improve the quality of the solutions. The proposed method is applied to set up a learning model for the "tuned" mask, which is used for texture classification. Experimental results on real world images and comparisons with genetic algorithms and genetic simplex algorithms are presented to illustrate the merit and feasibility of the proposed method.

History

Pagination

2648 - 2652

Location

Canberra, Australia

Open access

  • Yes

Start date

2003-12-08

End date

2003-12-12

ISBN-13

9780780378049

ISBN-10

0780378040

Language

eng

Notes

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Publication classification

E1 Full written paper - refereed

Copyright notice

2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Editor/Contributor(s)

R Sarker

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