关键词: 鱼群算法, 云模型, 多阈值, 图像分割

Abstract: The artificial fish swarm algorithm suffers from poor convergence and easy to fall into local optimum. Therefore, a new method is combined with the cloud theory and the artificial fish swarm algorithm and applied to the multi-threshold method for image segmentation effectively. The improved algorithm improves the ability of fish learning. It avoids the fish falling into local optimum and gets the best thresholds for image segmentation. The simulations and experiment results show that the new algorithm can achieve a stable, fast, vivid image segmentation.

Key words: artificial fish swarm algorithm, cloud theory, multi-threshold, image segmentation