计算机工程与应用2017，Vol.53Issue(6)：204-208,235,6.DOI:10.3778/j.issn.1002-8331.1508-0231
基于云模型鱼群算法的多阈值图像分割研究
Multi-threshold method for image segmentation based on cloud model artificial fish swarm algorithm
摘要
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.关键词
鱼群算法/云模型/多阈值/图像分割Key words
artificial fish swarm algorithm/cloud theory/multi-threshold/image segmentation分类
信息技术与安全科学引用本文复制引用
崔丽群,黄殿平,宋晓..基于云模型鱼群算法的多阈值图像分割研究[J].计算机工程与应用,2017,53(6):204-208,235,6.基金项目
国家自然科学基金(No.61172144). （No.61172144）
