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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Fast and accurate image registration using Tsallis entropy and simultaneous perturbation stochastic approximation

Martin, S. and Morison, G.H. and Nailon, W.H. and Durrani, T.S. (2001) Fast and accurate image registration using Tsallis entropy and simultaneous perturbation stochastic approximation. Electronics Letters, 40 (10). pp. 595-597. ISSN 0013-5194

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Abstract

The Tsallis measure of mutual information is combined with the simultaneous perturbation stochastic approximation algorithm to register images. It is shown that Tsallis entropy can improve registration accuracy and speed of convergence, compared with Shannon entropy, in the calculation of mutual information. Simulation results show that the new algorithm achieves up to seven times faster convergence and four times more precise registration than using a classic form of entropy.