由于该算法只在脑CT断层序列图像配准校正中提出并得到验证，对于其他组织器官图像的配准是否有效有待进一步的研究。
As the method is only verified in the registration of the brain CT image sequence, weather it can make the same effect in the CT image of the other organs also need deep exploration.
针对具有平移、旋转、缩放变换的序列图像连续拼接，提出一种将基于区域特征的配准算法和基于灰度交叉相关的配准算法相结合的拼接算法。
A new stitching algorithm based on area feature and cross correlation for the sequence image with transformation of translation, rotation and isometric scaling is proposed.
实验表明，这些方法能有效地消除误匹配，提高序列图像拼接的配准率。
Experiments demonstrated that this mismatching eliminating method could eliminate mismatch effectively and improve registration efficiency of sequential image stitching.
针对心脏磁共振时间序列图像，提出了一种结合力矩主轴法与互信息法的序列图像亚像素配准新方法。
For heart MRI time-series images, an improved sub pixel match approach based on cross-weighted moments and mutual information is presented, which adopts mixed registration strategies.
针对心脏磁共振时间序列图像，提出了一种结合力矩主轴法与互信息法的序列图像亚像素配准新方法。
For heart MRI time-series images, an improved sub pixel match approach based on cross-weighted moments and mutual information is presented, which adopts mixed registration strategies.
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