Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

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 University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

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.