混沌粒子群优化算法的研究与应用

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI:10.1109/FSKD.2017.8392909

Qiongqiong Hu, Huizhen Liu, Chengshui Niu, Meiyun Du, Yu-an Zhang, Yong Ge

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引用次数: 2

摘要

为了实现图像模糊增强和提高图像质量，提出了一种基于混沌粒子群优化算法(CPSO)的图像增强方法，该方法采用强全局寻优的混沌粒子群优化算法对图像增强参数进行优化。实验结果表明，混沌粒子群算法提高了图像的清晰度，改善了视觉效果。通过与其他改进粒子群优化算法的比较，证明了混沌粒子群优化算法的有效性和可行性。

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The research and application of chaotic particle swarm optimization algorithm

In order to achieve the image fuzzy enhancement and improve the quality of image, an image enhancement method based on chaotic particle swarm optimization(CPSO) algorithm has been proposed, which uses an chaotic particle swarm optimization algorithm with strong global optimization to optimize the image enhancement parameters. The experimental results show that the chaotic particle swarm algorithm enhances the image clarity and improves visual effect. Comparing with other improved particle swarm optimization algorithm, the effectiveness and feasibility of the chaotic particle swarm optimization algorithm have been proved.

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2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

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