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人工鱼群算法在图像配准中的应用
引用本文:杨丽,杨亚莉.人工鱼群算法在图像配准中的应用[J].安顺学院学报,2011(5):126-128.
作者姓名:杨丽  杨亚莉
作者单位:安顺学院数学与计算机科学系;安顺职业技术学院现代工程系;
摘    要:图像配准是图像处理的基本任务之一,是图像融合、目标识别等的前提。文章将基于行为的人工智能思想通过动物自治体的模式引入优化命题的解决中,构造了一种解决问题的架构—鱼群模式,并由此产生了一种高效的智能优化算法—人工鱼群算法(AFSA),进而提出以人工鱼群算法为优化搜索策略的人工鱼群算法在图像配准中的应用。

关 键 词:人工鱼模型  人工鱼群算法  图像配准

Application on Image Registration of Artificial Fish-swarm Algorithm
Yang Li Yang Yali.Application on Image Registration of Artificial Fish-swarm Algorithm[J].Journal of Anshun College,2011(5):126-128.
Authors:Yang Li Yang Yali
Affiliation:Yang Li1 Yang Yali2(1.Mathematics and Computer Science Department,Anshun University,Anshun 561000,Guizhou,China) (2.Modern Engnieering Department,Vocational and Technical College of Anshun,China)
Abstract:Image registration is a fundamental task of image processing,also precondition of image fusion and target recognition.The principle of artificial intelligent that based on animal's behaviors can be used for the solving of optimization problems via animals' method,then an architecture of problem solving,which we called fish school method was defined,and an efficient intelligent optimization algorithm based on it was introduced which we called artificial fish swarm algorithm(AFSA),and used it to image registr...
Keywords:Artificial Fish-swarm model  Artificial Fish-swarm Algorithm  Image registration  
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