Ant colony optimization is a meta-heuristic approach with discretion, parallel, robustness and positive feedback. But random and blank search have bad effect in efficiency of image segmentation. In order to speed up convergence of the algorithm, we propose setting several initial cluster centers and update rule modified. Computation is reduced greatly. Experimental results show it’s an effective approach for image segmentation.
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