DocumentCode
2490649
Title
The application of ant colony system to image textute classification [textute read texture]
Author
Zheng, Hong ; Zheng, Zhaobao ; Xiang, Yong
Author_Institution
Sch. of Electron. Inf., Wuhan Univ., Hubei, China
Volume
3
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1491
Abstract
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.
Keywords
genetic algorithms; image classification; image texture; learning (artificial intelligence); multi-agent systems; aerial images; ant colony system; genetic algorithms; image texture classification; learning model; simplex algorithms; tuned mask; Ant colony optimization; Design optimization; Electronic mail; Genetic algorithms; Genetic engineering; Guidelines; Machine learning; Optimization methods; Remote sensing; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259730
Filename
1259730
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