【摘要】 提出了一种基于分层互信息和薄板样条自动确定标记对应点的选取方法,将图像按照由粗到精的原则,将每个图像分成若干个对应子块进行配准后,在每个子块图像中按照一定规则选取两个对应点,实现图像弹性自动配准·实验结果表明,该方法是一种理想的非刚性图像自动配准方法·更多还原

【Abstract】 Multi-model non-rigid medical image registration plays an important role in diagnosis work. The approach most widely used is by marking control points manually first and then calculating the transform coefficients. The method however is poor in efficiency and accuracy. A new control point selection approach based on Hierarchical Mutual Information and Thin-plate Spline is presented in this paper. By the approach the image is divided into pieces, and then two control points are chosen with specific rules, to make automatic registration. Experiments show that it is an effective non-rigid registration approach.更多还原