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.
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
关键词
测量图像
遗传算法
目标匹配
Measurement Image
Genetic Algorithm
Target Matching