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频率域基于梯度预处理的互相关图像配准方法
引用本文:甘亚莉,涂丹,李国辉.频率域基于梯度预处理的互相关图像配准方法[J].计算机工程与应用,2007,43(6):24-26.
作者姓名:甘亚莉  涂丹  李国辉
作者单位:国防科技大学,信息系统与管理学院,长沙,410073
摘    要:传统的频率域图像配准方法有两种:基于互相关的图像配准方法和基于相位相关的图像配准方法。这两种方法都是通过确定逆傅立叶变换域最大峰值位置来获得配准信息。互相关图像配准方法与相位相关图像配准方法相比,主要存在两个缺点:一是峰值的跨度过大,二是有时存在多个峰值。对传统方法进行了改进,提出了频率域基于梯度预处理互相关的图像配准方法,该方法首先对待配准图像进行梯度预处理,然后对预处理后的图像用传统的互相关方法进行配准。实验表明,该方法很好地克服了上述传统方法的不足,并能获得精确的配准结果。

关 键 词:图像配准  互相关  梯度  预处理
文章编号:1002-8331(2007)06-0024-03
修稿时间:2006-12

Cross-correlation image registration approach based on gradient pre-processing in frequencey doamin
CAN Ya-li,TU Dan,LI Guo-hui.Cross-correlation image registration approach based on gradient pre-processing in frequencey doamin[J].Computer Engineering and Applications,2007,43(6):24-26.
Authors:CAN Ya-li  TU Dan  LI Guo-hui
Abstract:Traditional image registration methods in frequency domain have two kinds:one is cross-correlation method;the other is phase-correlation method.The both methods obtain registration information by determining maximum peak in inverse Fourier Transforms domain.Cross-correlation method that compare with phase-correlation method has two disadvantages:one is that sometimes the presence of secondary maxima makes it difficult to select the actual maximum;moreover,the cross-correlation peak may be rather broad,so that the accuracy in determining its position may be poor.This paper proposes an improved cross-correlation method that is based on gradient pre-processing.Two pre-registering images are first pre-processed by gradient information before both images are registered with traditional cross-correlation.This method overcomes two disadvantages of traditional one and obtains precise results that have been proved by experiments.
Keywords:image registration  cross-correlation  gradient  pre-processing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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