In recent years, mutual information has developed as a popular image registration measure
especially in multimodality image registration. However, based on Shannon entropy, it …

Abstract Nowadays Medical Imaging has an increasing need in patient treatment, not only it
aids physicians in determining the correct diagnosis but also it reduces overall cost and …

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 has been widely used in image registration as an effective similarity
measure. It has attracted a lot of attention to the effective use of the spatial information. Here …

In this paper, a weighted mutual information (WMI) is proposed for medical image
registration. Conventional information measures, for example Shannon's entropy and mutual …

Image registration methods based on mutual information criteria, including mutual
information and normalized mutual information, have been widely used in 3-D multimodal …

Mutual Information (MI) is calculated on a pixel by pixel basis. It takes into account only the
relationship between corresponding individual pixels and not those of each pixel's …

Image registration methods based on mutual information, including mutual information and
normalized mutual information, have been accepted as the most accurate and efficient …

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 …

Mutual information (MI) is a widely used entropy-based similarity metric for medical image
registration. It can be used for both mono-modality and multi-modality registration. Recently …