基于遗传算法的快速目标匹配方法  

A Fast Target Matching Method Based on Genetic Algorithms

作　　者：李晓冰[1] 蔡传能[1] 马海潮[1] 

机构地区：[1]92941部队,辽宁葫芦岛125000

出　　处：《飞行器测控学报》2007年第6期50-53,共4页Journal of Spacecraft TT&C Technology

摘　　要：为解决在测量图像目标识别中因采用模板匹配方法而产生庞大计算量的问题，将遗传算法应用到测量图像模板匹配中。根据测量图像的特点，利用匹配产生的相关数据变化规律，对标准遗传算法进行改进，提出一种测量图像快速匹配方法，可消除标准遗传算法的大量无效搜索。实验结果表明，该方法比标准遗传算法速度快、精度高。To solve the problem of a great deal of calculation caused by adopting a modal matching method in a target recognition of measurement images, genetic algorithms are applied to a modal matching of measurement images. According to the measurement image characteristics and the data produced in matching, a fast target matching method is put forward by improving standard genetic algorithms ,which could get rid of a lot of vain search resulted from standard genetic algorithms. The experimental result shows that it could run faster than standard genetic algorithms, and its prectision would he better.

关 键 词：测量图像 遗传算法 目标匹配 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]