Enhanced Multimodality Image Registration Based On Mutual Information
نویسنده
چکیده
Different modalities can be achieved by the maximization of suitable statistical similarity measures within a given class of geometric transformations . The registration functions are less sensitive to low sampling resolution, do not contain incorrect global maxima which are sometimes found in the mutual information. This paper proposes a novel and straightforward multimodal image registration method based on mutual information, in which two matching criteria are used. It has been extensively shown that metrics based on the evaluation of mutual information are well suited for overcoming the difficulties of multi-modality registration.
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