图像匹配中的相似性度量比较与分析  

Comparison and Analysis of Similar measure in Image Matching

作　　者：权文[1] 王晓丹[1] 甘进[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《航空计算技术》2008年第5期18-20,共3页Aeronautical Computing Technique

基　　金：陕西省自然科学研究计划项目(2007F19)

摘　　要：图像匹配作为一种重要的图像处理技术是图像信息融合、目标定位、变化检测、图像重建等后续工作的重要基础。选择合适的相似性度量对于图像匹配的结果至关重要。分析和讨论了图像匹配中常用的相似性度量;针对典型的基于灰度统计的图像匹配方法SSDA,实验比较了采用不同相似性度量对匹配结果的不同影响;对实验结果进行了分析和讨论,并得出了结论。As an important image processing technology, image matching is the key basis of its following processing steps, such as image information fusion, object orientation, change detection, image reconstruction and so on. Choose the best similar measure is essential for the result of image matching. This paper analyses and discusses several common used similar measures;using the typical gray statistical image matching method SSDA, experiment on the different effects as adopting different similar measures;then analyses and discusses the experimental results and gets the conclusion.

关 键 词：图像匹配 相似性度量 序贯相似性检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]