Multi-sensor image registration based on intensity and edge orientation information

被引：109

作者：

Kim, Yong Sun ^{[1
]}

Lee, Jae Hak ^{[1
]}

Ra, Jong Beom ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Sch EECS, Taejon 305701, South Korea

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 11期

关键词：

multi-sensor image registration; mutual information; entropy-based objective function; 3-D joint histogram; edge coincidence;

D O I：

10.1016/j.patcog.2008.04.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method for registering multi-sensor images such as visible and infrared images. Registration is achieved by iteratively minimizing an objective function through updating transformation parameters of deformation. A new entropy-based objective function is proposed on the basis of a 3-D joint histogram incorporating intensity information and edge orientation information. To complement the entropy-based objective function, a weighting function is also introduced through the use of a coincidence measure of edge orientations. Experimental results show that the proposed method provides more robust registration results than the existing approaches. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：3356 / 3365

页数：10

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