基于主成分分析的快速图像匹配研究  

Research of fast image matching based on PCA

作　　者：赵鹏[1] 白振兴[1] 范文同[1] 

机构地区：[1]空军工程大学 工程学院,陕西西安710038

出　　处：《电子技术应用》2010年第4期132-134,共3页Application of Electronic Technique

摘　　要：针对传统图像灰度匹配算法计算量较大的问题,根据特征匹配算法抗干扰性好、速度快的特点,提出一种改进的融合匹配算法。通过实验计算,匹配时间减少到单一使用归一化互相关灰度匹配的60%,甚至更短,满足了快速、准确的图像匹配要求。According to the characteristics of feature matching algorithm such as anti-jamming and high speed, an improved fusion matching algorithm is proposed to resolve the large calculating problem of traditional gray-scale image matching algorithm. Through experiments, the computing time reduced to 60% or less of the single gray level normalized cross-correlation matching which meets the requirements of fast and accurate image matching.

关 键 词：图像匹配 归一化互相关 主成分分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]