Picture of a sphere with binary code

Making Strathclyde research discoverable to the world...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. It exposes Strathclyde's world leading Open Access research to many of the world's leading resource discovery tools, and from there onto the screens of researchers around the world.

Explore Strathclyde Open Access research content

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

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.