Image registration using mutual information with correlation for medical image

Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. Image registration geometrically aligns two images (the reference and test images). In this paper, we discuss about the problematic issue that arises during the feature matching stage in the mutual information based medical image registration. The matched results shows that by changing (can be decreasing or increasing depending on the image) the windows size of the image more matched points can be obtained. The higher degree of registration is obtained, by using correlation with mutual information. Procedure to measure the angle of rotation between two images, using mutual information is provided in this paper.