一种基于边缘的图像配准方法

An Image Edge Based Algorithm for Multisensor Image Registration

图像配准是多传感器图像融合研究中的一项关键技术,多传感器图像特别是波段相距较远的相关性较小的图像,要实现图像配准存在很大的困难。对于能够用仿射变换模型来描述的图像,图像之间比较明显的特征是各个物体之间的边缘。该文研究利用小波变换的方法提取图像的边缘,并对边缘图像作交互方差分析,搜索出最佳交互方差的配准参数。通过对SPOT和TM图像的处理,达到了精度较高的配准效果。

Image registration is an very important technology in nmltisensor image fusion. There is little correlation among multisensor images, especially images with different bands. It is very difficult to matching these images. Among some images which can be described in affine model, edge is a very obvious character. In this article, wavelet analysis is used to extract image edge, then correlative deviation is calculated. When correlative deviation reaches the minor, the image registration parameters are obtained. The processing of SPOT and TM images demonstrates the efficacy of the proposed method.