用多分辨率配准方法执行图像配准更加广泛地用在改进速度、精确度和自动化程度上。

基本的思想是图像有较少的像素的地方就用粗糙的比例。粗糙水平的空间映射被用来在接下

来的较好的图像中初始化配准。重复这个过程直到达到最好的比例范围。从粗糙到平滑的策

略极大地改进了配准的成功率，并通过消除粗糙比例时的局部噪声达到提高自动化的目的。-Performing image registration using a multi-resolution approach is widely used to improve

speed, accuracy and robustness. The basic idea is that registration is first performed at a coarse

scale where the images have fewer pixels. The spatial mapping determined at the coarse level is

then used to initialize registration at the next finer scale. This process is repeated until it reaches

the finest possible scale. This coarse-to-fine strategy greatly improve the registration success

rate and also increases robustness by eliminating local optima at coarser scales.