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基于改进SIFT特征的红外与可见光图像配准方法

第38卷第9期 光电工程 V ol.38, No.9 2011年9月 Opto-Electronic Engineering Sept, 2011 文章编号:1003-501X(2011)09-0130-07

基于改进SIFT 特征的红外与

可见光图像配准方法

赵 明1, 2,林长青1 ( 1. 中国科学院上海技术物理研究所,上海 200083;

2. 中国科学院研究生院,北京 100049 )

摘要:针对灰度弱相关的可见光和红外图像的配准问题,本文提出了一种基于改进SIFT 特征的图像配准方法。该方法根据SIFT 算子在仿射变换、加噪、灰度变化等情况下的性能,首先在提取特征点时设定阈值来约束受灰度弱相关影响较大的向量幅值,然后采用性能较稳定的相似四边形的精匹配方式删除粗匹配时的误匹配点对,最后使用最小二乘法求解仿射变换系数的最佳解。实验结果表明,本文提出的基于改进SIFT 特征的匹配方法在匹配精度上有明显改善,复杂度上也可行。

关键词:图像配准;SIFT 算子;灰度弱相关;相似四边形;最小二乘法

中图分类号:TP391.41 文献标志码:A doi:10.3969/j.issn.1003-501X.2011.09.025

Registration of Infrared and Visible Images

Based on Improved SIFT Feature

ZHAO Ming1, 2,LIN Chang-qing1

( 1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;

2. Graduate University of Chinese Academy of Science, Beijing 100049, China )

Abstract: Referring to the problem of the less correlative intensity image registration, an improved approach based on Scale Invariant Features Transform (SIFT) is proposed. First, according to the performance of SIFT in three instances: affine transform, adding Gaussian noise and different intensities, SIFT vector values which was easily affected by different intensities were constrained through given threshold when extracting SIFT feature points. Then, the false matching points were deleted by similar quadrangle in the precise math process. Finally, least squares method was employed to find optimal solutions to affine transform equations. Experimental results show that the proposed approach has a better performance than original SIFT algorithm, and can achieve a high accuracy and moderate complexity level.

Key words: image registration; scale invariant feature transform; less correlative intensity;
similar quadrangle; least squares method

Key words: image registration; scale invariant feature transform; less correlative intensity; similar quadrangle; least squares method

0 引 言

为了弥补单源探测器工作环境的局限性和频段的单一性,多种探测器结合使用已是大势所趋。其中,红外和可见光探测器是典型的组合方式之一,红外图像反映的是视场内温度的变化,其灰度由目标的辐射程度决定;而可见光图像的灰度信息是由目标反射强度决定,两类图像具有很强的互补性[1]。正是这两类探测器不同的成像机理和成像环境(时间、角度、光照等) ,给图像配准带来了很大难度。

收稿日期:2011-04-17; 收到修改稿日期:2011-07-05

基金项目:中国科学院创新基金资助项目

作者简介:赵明(1984-) ,女(汉族) ,湖北孝感人。博士研究生,主要研究工作是遥感图像处理。E-mail: zm_cynthia@http://www.doczj.com/doc/1626ff4b2e3f5727a5e9621d.html 。

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