A neighborhood incorporated method in image registration

Authors:
Chunlan Yang;Tianzi Jiang;Jianzhe Wang;Lian Zheng
Affiliations:
School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China;Medical Imaging and Computation Group, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Medical Imaging and Computation Group, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China
Venue:
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Year:
2006

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Abstract

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 we propose a new measure that includes the mean of the neighborhood region of each pixel as one variable of the two-dimension normal distribution assumed in our method. The experimental results show that our method can not only improve the robustness of mutual information, but also reduce the affect of noise in image registration.