一种基于角点特征的医学图像配准方法

A medical image registration method based on corner feature

医学图像配准技术是医学图像融合及影像三维重建的基础.提出了一种基于SUSAN算子的特征点的医学图像配准方法.该方法利用SUSAN算子提取两幅图像的角点,通过粗匹配和细匹配两个步骤建立特征点集之间的对应关系,得到匹配特征点对.然后再根据这些特征点使用反向映射的仿射变换实现图像的配准.实验表明,此方法能有效地实现医学图像的配准,并取得良好的精度.

Medical image registration technology is the foundation of the medical image fllsion and it is also the element of the imagebased three-dimensional reconstruction. A medical image registration method was presented based on the feature points calculated by SUSAN operator. First, the corner points of two images were extracted with the SUSAN operator; then, the two feature points sets were matched and the matched feature point pairs were obtained through coarse matching and fine matching;Finally,the reverse mapping of the affine transformation were utilized to achieve image registration. The experimental results show that the medical image registration and good accuracy can be effectively achieved by using this method.