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Proceedings Paper

Multimodal image registration based on compound mutual information
Author(s): Zhaohui Sun; Lawrence A. Ray
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Paper 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.

Paper Details

Date Published: 29 April 2005
PDF: 9 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.597108
Show Author Affiliations
Zhaohui Sun, Eastman Kodak Co. (United States)
Lawrence A. Ray, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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