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Accurate definition of similarity measure is a key component in image registration. Most commonly used intensitybased similarity measures rely on the assumptions of independence and stationarity of the intensities from pixel to pixel. Such measures cannot capture the complex interactions among the pixel intensities, and often result in less satisfactory registration performances, especially in the presence of nonstationary intensity distortions. We propose a novel similarity measure thatdoi:10.1109/cvpr.2009.5206571 dblp:conf/cvpr/MyronenkoS09 fatcat:6l6b6yovzfavvbcb7rtcglsyha