Multimodal image registration based on compound mutual information

Zhaohui Sun; Lawrence A. Ray

doi:10.1117/12.597108

29 April 2005 Multimodal image registration based on compound mutual information

Zhaohui Sun, Lawrence A. Ray

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.597108
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

In this paper, we study image description based on compound mutual information (CMI) and its application to multimodal image registration. CMI is an aggregate information measure derived from the multiple marginal densities of image distributions. It extends histogram-based mutual information to that based on various marginal densities, which encode spatial intensity distribution and other image characteristics. Therefore, CMI can overcome the difficulties (such as the lack of spatial information) inherent in the color histogram, enrich the vocabulary of image description, and help improve registration accuracy and robustness. CMI is not sensitive to illumination and absolute appearance, and it is particularly suited for multimodal applications.

Citation Download Citation

Zhaohui Sun and Lawrence A. Ray "Multimodal image registration based on compound mutual information", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.597108

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