Medical image registration based on feature and mutual information

Image registration based on mutual information (MI) has been widely used in remote sensing data analysis, computer vision, medical image disposal and other fields. But the mutual information is calculated by the joint histogram of two images which don´t take into account the space-position relationship of the image pixel, so the registration precision will be degraded. Aiming at the lack of mutual information registration, a new method of medical image registration based on mutual information of multi-scale Harris corner and feature points was given. It effectively improves sensitivity of noise and the situation of being trapped into a local minimum to MI registration.