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
Link To Document :
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