An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation

LIAN Lin; LI Guo-hui; ZHANG Jun; TU Dan

doi:10.3969/j.issn.0372-2112.2012.09.020

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An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation

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- An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation
- Acta Electronica Sinica Vol. 40, Issue 9, Pages: 1829-1838(2012)
- 作者机构：
  
  1. 国防科学技术大学信息系统与管理学院系统工程系,湖南,长沙,410073
  2. 国防科学技术大学信息系统工程国防科技重点实验室,湖南,长沙,410073
  3. 国防科学技术大学信息系统与管理学院系统工程系,湖南,长沙,410073
  4. 国防科学技术大学信息系统工程国防科技重点实验室,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60902093)
- DOI：10.3969/j.issn.0372-2112.2012.09.020
  CLC： TP391
- Published：2012
- 稿件说明：
移动端阅览
LIAN Lin, LI Guo-hui, ZHANG Jun, et al. An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation[J]. Acta Electronica Sinica, 2012, 40(9): 1829-1838.
DOI：

LIAN Lin, LI Guo-hui, ZHANG Jun, et al. An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation[J]. Acta Electronica Sinica, 2012, 40(9): 1829-1838. DOI： 10.3969/j.issn.0372-2112.2012.09.020.

摘要

提出了一种仿射模型参数分步估计的红外与可见光图像自动配准算法.首先

使用矩阵正交分解方法

将仿射变换的6个自由度分离为易于估计的切变、尺度比例、旋转、尺度缩

放以及x和y方向上的

平移量等参数;然后基于方向一致性约束和线段间的对齐度分别构建用于参数分步估计的目标函数

并使用SGA(Stud Genetic Algorithm)算法搜索使目标函数取得近似全局最优解的参数值;最后

基于Powell算法对参数估计值进行局部求精.实验结果表明

当两幅需要配准的图像中含有丰富的关联线段及多样的线段方向分布时

本文算法能够利用这些线段间的方向一致性约束和位置分布信息

有效地实现红外与可见光图像的自动配准

且算法具有较好的配准精度.

Abstract

An automatic registration algorithm between infrared and visible images based on step estimation of affine model parameters is proposed.Firstly

the six degrees of freedom of the affine model are separated into some more easily estimated parameters using matrix orthogonal decomposition method

which are skew

scale ratio

rotation

scaling and translations in

and

directions.Secondly

two objective functions are constructed for step estimation of these parameters based on the orientation consensus constraint and alignment measure between segments

respectively

and parameter values which make objective function approximate the global optimum are o

btained using SGA (Stud Genetic Algorithm) algorithm.Finally

the estimated values of the parameters are locally refined using Powell algorithm.The experimental results show that the proposed method can make full use of orientation consensus constraint and location distribution information of segments

and realize automatic registration between infrared and visible images efficiently and precisely on condition that two images to be registered contain abundant corresponding segments and diverse distributions of segment orientations.

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