提出了利用小波分解建立多分辨率图像锥和Hausdorff距离的医学图像配准方法。先利用小波方法建立多分辨率图像锥, 然后根据梯度向量幅度提取分层图像的特征点, 利用Hausdorff距离进行特征点集的匹配。该方法提高了配准的速度和精度, 而且具有鲁棒性。-Image registration is the matching processing in which two or more images match from the same scene derived from different time and different sensors. A new method of medical image registration based on multi-resolution image cone and Hausdorff Distance is put forward. Firstly, the image is decomposed with wavelet method and transformed to multiresolution image. Multiresolution image cone is constructed by multiresolution image. Secondly, gradient vector flow is used to detect feature points. Finally, Hausdorff Distance is used for matching sets of feature points. Theories and experiments indicate that this method has some advantages such as high precision and good robustness.