摘要
结合灰度匹配和特征匹配的优点,提出基于灰度权重NMI的一种复合图像匹配新方法,定义了灰度权重的概念,使其既能在特征匹配中增强NMI特征提取的质量,又能在灰度匹配时减少相关的运算量,提高了匹配的速度和质量。
This paper presents a novel method of image matching based on gray value weighting NMI, which combines the advantages of gray matching and feature matching, and defines the concept of gray weighting, which not only enhances the feature extraction quality of NMI, but also reduces the amount of correlative computation during gray matching. All these improve the matching quality and matching speed.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第24期25-28,共4页
Computer Engineering
关键词
相关运算
图像匹配
图像处理
correlation computation
image matching
image processing
