人工鱼群算法在图像配准中的应用  

Application on Image Registration of Artificial Fish-swarm Algorithm

作　　者：杨丽[1] 杨亚莉[2] 

机构地区：[1]安顺学院数学与计算机科学系,贵州安顺561000 [2]安顺职业技术学院现代工程系,贵州安顺561000

出　　处：《安顺学院学报》2011年第5期126-128,共3页Journal of Anshun University

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。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 registration.

关 键 词：人工鱼模型 人工鱼群算法 图像配准 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]