Texture image recognizing method based on ant colony algorithm

Authors:
Bi Xiaojun;Sun Xiaoxia
Affiliations:
School of Information and Communication Engineering, Harbin Engineering University, Harbin, PRC;School of Information and Communication Engineering, Harbin Engineering University, Harbin, PRC
Venue:
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Year:
2006

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Abstract

In this paper a new texture image recognizing method was proposed based on the characteristics of ant colony algorithm such as characteristic of clustering. The effective feature function values of the texture images are proposed from the aspect of the characteristic of texture images. And these texture feature function values can be clustered, which can recognize many texture images. The experimental results show that the new method in this paper can improve the recognizing rate of image effectively. It is an effective method in image recognizing.