基于小波变换和对齐度准则的图像配准方法

图像配准是多传感器图像融合研究中的一项关键技术.由于基于特征的图像配准方法存在特征提取的多样性,对提取图像特征的鲁棒性和精确性都有很高的要求.文中在适用性很强的对齐度准则的基础上,提出了基于小波变换和对齐度准则相结合的图像配准方法.首先,分别利用小波变换模极大值和小波多尺度积提取出图像的边缘及特征点,再利用对齐度准则计算所有特征点对之间的对齐度,从而得到匹配点对.实验结果表明,该方法具有较强的适用性、抗噪性,精确性和有效性.

A New Method for Image Registration Based on Wavelet Analysis and Alignment Metric

Image registration is a very important technology in multisensor image fusion. The diversity of detected features is a main problem, and the features extraction should be of robustness and accuracy for approach to image registration based on features. On the basis of practical alignment metric, a new approach to image registration based on combination of wavelet analysis and alignment metric is proposed. Feature points and their edges are first detected by using wavelet multi-scale product and wavelet trans...