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.
出处
《安顺学院学报》
2011年第5期126-128,共3页
Journal of Anshun University
关键词
人工鱼模型
人工鱼群算法
图像配准
Artificial Fish-swarm model
Artificial Fish-swarm Algorithm
Image registration
