作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2007, Vol. 33 ›› Issue (24): 25-28. doi: 10.3969/j.issn.1000-3428.2007.24.009

• 博士论文 • 上一篇    下一篇

基于灰度权重NMI的快速图像匹配

计长安1, 2,张秀彬1,吴 浩1,应俊豪1,赵兴勇1,周雪莲1,曾国辉1   

  1. 1. 上海交通大学电子与信息工程学院,上海 200240;2. 安徽省电力科学研究院,合肥 200030
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-12-20 发布日期:2007-12-20

Fast Image Matching Based on Gray Value Weighting NMI

JI Chang-an1,2, ZHANG Xiu-bin1, WU Hao1, YING Jun-hao1, ZHAO Xing-yong1, ZHOU Xue-lian1, ZENG Guo-hui1   

  1. 1. College of Electronic Information and Engineering, Shanghai Jiaotong Univ., Shanghai 200240;
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-20 Published:2007-12-20

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

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

中图分类号: