关键词: 脑磁共振图像配准，Harris算子，Susan算子，动态，联合角点检测

Abstract: Corner detection algorithm is key to the image registration algorithm based on corner feature point. Harris and Susan algorithms arc two important detection algorithms of them because of their satisfying detection capability. But they are not comprehensive to describe the information of the corner points. Therefore, it is good solution to combine them together to enhance their capability. For this solution, it is important to find the weight of the two algorithms. hhis paper proposed a combinational method,and improved its capability greatly by introducing two weighted factors m and },Z and deciding their proportion based on statistical experiments. In the end, the method was used in brain MR image registration. hhe experimental results show that this algorithm can be used for brain MR image registration and can ob- lain higher registration precision and stability compared with the existing corner detection algorithms.

Key words: Brain MR image registration, Harris operator, Susan operator, Dyanmic, Combinational corner detection