Multi-image registration based on entropy of normalized mutual information vector
Jihong Yang · Computer Engineering and Applications Journal · 2009
A novel method for multi-image registration is proposed,which is called the entropy of normalized mutual information vector.This method first calculates joint probability distribution of any two images,and then calculates the normalized mutual information according to it.All the normalized mutual information of two images forms a vector,the normalized mutual information vector.At last the entropy of that vector is calculated.The maximal entropy corresponds to the optimal registration solution.The function curves,computing time and registration accuracy are studied by applying the new method and other three methods to rigid registration of brain images.The obtained results show that the proposed method can improve registration accuracy and decrease registration time.