中文摘要：

多模态图像匹配是各领域图像匹配研究中的一个热点和难点问题,特征的可重现探测和非线性优化搜索,分别是基于特征和基于区域的多模态图像匹配的瓶颈问题.将灰度图像转换为复数域的梯度图像,提出以复数平方图像实现的2倍梯度差角余弦作为相似性测度,提出FFT梯度相关算法,实现了多模态图像局部匹域的快速匹配,通过红外与可见光图像的匹配实验,验证了算法的有效性.

英文摘要：

Multimodal image matching is a hot and difficult issue in various image matching research fields. The reproducible detection of features and nonlinear optimization are bottlenecks of the feature-based and area-based image matching methods, respectively. The images are converted from grayscale to gradient domain in complex field, and the similarity measure of Double-angled cosine is desinged base on the squared gradient orientation image. Thus, the FFT gradient correlation algorithm is proposed to match multimodal images rapidly.