Image Feature Extraction with the Artificial Ant Colony

The swarm intelligence technique is applied in image processing for feature extraction. The perceptual graph is proposed to represent the relationship between adjacent image points. The ant colony system is applied to build the perceptual graph. In the experiments, edge extraction and image segmentation are implemented with the proposed method, which show that the artificial ant swarm can effectively perform feature extraction in digital images.

[1]  Mohamed Batouche,et al.  Ant colony system with local search for Markov random field image segmentation , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[2]  Mohamed Batouche,et al.  MRF-based image segmentation using Ant Colony System , 2003 .

[3]  LiMin Fu,et al.  Neural networks in computer intelligence , 1994 .

[4]  G. Di Caro,et al.  Ant colony optimization: a new meta-heuristic , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[5]  Vitorino Ramos,et al.  Artificial Ant Colonies in Digital Image Habitats - A Mass Behaviour Effect Study on Pattern Recognition , 2004, ArXiv.

[6]  Gregor Kjellström.  The evolution in the brain , 1999, Appl. Math. Comput..

[7]  Barbara Webb,et al.  Swarm Intelligence: From Natural to Artificial Systems , 2002, Connect. Sci..