Abstract: 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.

Key words: correlation computation, image matching, image processing

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。

关键词: 相关运算, 图像匹配, 图像处理

CLC Number: 

• TP301.6