Abstract
We present a new use of mutual information as a similarity technique for the registration of images. Unlike prior work we find that no more than two resolutions are necessary to gain sub-pixel accuracy and that classical optimisation techniques such as gradient descent or Powell's minimisation are not appropriate. Our results show that mutual information combined with a low resolution simulated annealing search yields very fast first approximations to the registration over a wide range of rigid transformations. The method is particularly robust in terms of changes in colour, intensity and noise between images. This makes it particularly useful for multi-modal and temporal image registration. The method was applied successfully to stereo and temporal retinal image pairs.
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© 1997 Springer-Verlag Berlin Heidelberg
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Ritter, N., Owens, R., Yogesan, K., van Saarloos, P. (1997). The application of mutual information to the registration of stereo and temporal images of the retina. In: Sattar, A. (eds) Advanced Topics in Artificial Intelligence. AI 1997. Lecture Notes in Computer Science, vol 1342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63797-4_59
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DOI: https://doi.org/10.1007/3-540-63797-4_59
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