摘要
结合最小绝对差度量MAD和Hausdorff距离度量的基本思想,提出了一种新的对应像素距离相似性度量方法的图像匹配算法和自适应模板图像匹配跟踪算法,并对对应像素距离相似性度量方法的图像匹配算法的匹配跟踪性能进行分析.对这2种算法的匹配跟踪性能参数的实验结果进行比较.实验结果表明:对应像素距离相似性度量方法的图像匹配算法具有较强的抗噪、抗畸变能力和稳定性,具有较高的匹配精度和匹配概率.
The idea of the MAD is combined with the Hausdroff distance measurement in the paper, then a new corresponding pixel distance measurement （CPDM） image matching algorithm and an adaptive template image matching tracking algorithm is presented. The performance of the CPDM image matching algorithm is analyzed. The experiment result of the registration tracking performance with the two algorithms is compared. The results show that the CPDM image matching algorithm has character of the better probability, precision and robustness of registration in the noise, deformation and occlude.
出处
《弹道学报》
CSCD
北大核心
2005年第3期40-47,共8页
Journal of Ballistics
关键词
图像匹配
自适应匹配跟踪
相似性度量
距离度量
image matching, adaptive registration tracking, Hausdorff distance measurement
