为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem, a high-precision image matching--- the use of optical flow algorithm to determine the image of the stadium to match the image. The algorithm to overcome the traditional matching method based on gray-scale image interpolation accuracy by the effects of defects, as well as the speed and accuracy of computing limitations. MAD-based block matching algorithm and the normalized correlation coefficient to compare block-matching algorithm, the algorithm achieved a high-precision image sequence matching, and simple hardware implementation, lower computational complexity.