【摘要】 为提高医学图像配准效果,提出了一种基于小波变换和互信息的配准方法。以小波变换对源图像进行二级分解,并在每个分解层对其子带分量分别进行贝叶斯最大验后概率估计,求概率估计的回归参数,得到配准图像的各小波子带分量,再进行小波逆变换,实现对源医学图像的配准。更多还原

【Abstract】 To improve the performance of medical image registration,a new method based on wavelet transformation and probability estimate was proposed in this paper.Two-step decomposition of the original images was obtained by using the wavelet transformation.Bayesian maximum a posterior(MAP) probability estimate was performed separately for the sub-band component of each decomposition layer.Each wavelet sub-band component of image registration was got by probability estimating on the parameter.Original medical image registration was realized by wavelet’s inversing transformation at last.更多还原