Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (27): 194-196.DOI: 10.3778/j.issn.1002-8331.2008.27.062

• 图形、图像、模式识别 • Previous Articles     Next Articles

Image fusion based on wavelet edge detection and normalized correlation moment

GAO Guo-rong,LI Wen-min,PAN Qiong   

  1. College of Science,Northwest A & F University,Yangling,Shaanxi 712100,China
  • Received:2007-11-15 Revised:2008-02-29 Online:2008-09-21 Published:2008-09-21
  • Contact: GAO Guo-rong

基于边缘检测与归一化相关矩的图像融合方法

高国荣,李文敏,潘 琼   

  1. 西北农林科技大学 理学院 数学系,陕西 杨凌 712100
  • 通讯作者: 高国荣

Abstract: As common image fusion schemes based on wavelet often consider a certain aspects of task when fusing wavelet coefficient of the source images,it is most possible that these methods often enhance a single property of the fused image.From the point of data fusion,a new fusion scheme is proposed.This new method band edge detection based on wavelet and the normalized correlation moment together.Experimental results show that this method is effective compared with the single fusion method in the quality of fusion result.

摘要: 常见的基于小波变换的图像融合方法只是从小波系数的某一特性来考虑小波系数的选取,因而融合结果往往只提升了融合图像的某一特性。从数据融合的角度,提出了一种有效的融合算法,该方法将基于小波变换的图像边缘检测与归一化相关矩相结合并应用于图像的融合中。实验表明,与单一的融合规则相比,该方法能有效提高融合图像的质量。