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

被引：25

作者：

Martin, S ^{[1
]}

Morison, G ^{[1
]}

Nailon, W ^{[1
]}

Durrani, T ^{[1
]}

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

ELECTRONICS LETTERS | 2004年 / 40卷 / 10期

关键词：

D O I：

10.1049/el:20040375

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：595 / 597

页数：3

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