摘要
基于灰度相关的图像匹配法,因匹配概率高而广泛应用于各个领域,但传统灰度相关算法的搜索策略是遍历性的,匹配速度较慢。为提高图像匹配速度,提出一种全局并行爬山搜索策略,实现了非遍历性搜索,并能快速找到最优匹配点,并引入了一个搜索路经表对已搜索过的点作标记,以防止对某些点的重复搜索。实验结果表明了该算法的图像匹配具有快速性和较高的准确性。
Image matching based on grey cross-correlation, has been widely applied to various field because of its high matching probability. But the searching strategy of conventional grey cross-correlation algorithm is ergodic, the speed of matching is slow. To improve the speed of image matching, a global and parallel hill-climbing searching strategy are presented, which realized non-ergodic searching and can be used to find the best matching point very quickly, also introduced a searching path-table to marker the point which had been searched. Experiment show that this approach has high speed and accuracy in image matching.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第11期1628-1630,共3页
Systems Engineering and Electronics
关键词
图像匹配
搜索策略
并行爬山
搜索路经表
image matching
searching strategy
parallel hill-climbing
searching path-table
作者简介
孔华生（1978-），男，硕士研究生，主要研究方向为航空火力控制，目标探测与识别。E-mail：pine_green@163．com
