基于角点的红外与可见光图像自动配准方法

王阿妮; 马彩文; 刘爽; 柳丛; 赵欣

光子学报, 2009, 38 (12): 3328, 网络出版: 2010-05-10

基于角点的红外与可见光图像自动配准方法

Infrared-Visual Images Automatic Registration Based on Corners

论文大纲

王阿妮 ^*马彩文刘爽柳丛赵欣

作者单位

中国科学院西安光学精密机械研究所,西安710119

图像配准角点 Harris因子仿射变换 Canny算子 Image registration Corner Harris factor Affine transformation Canny operator

摘要

针对红外图像与可见光图像的自动配准问题,提出了一种基于图像角点特征以及仿射变换模型的方法.利用Harris因子分别在红外图像和可见光图像上检测角点,并对两幅图像进行边缘检测,得到其边缘图像.通过角点邻域在边缘图像上的相关性,实现角点的粗匹配; 通过角点的细匹配,从匹配的角点中选择两对匹配最佳的点作为仿射变换的控制点,得到仿射变换模型,并对待配准图像进行仿射变换,从而实现图像配准.实验结果表明：该方法运算速度快,可以很好地完成红外与可见光图像的自动配准.

Abstract

A new method based on the corner feature and affine transformation is presented in order to realize automatic registration of infrared image and visual image,including corner extraction,edge extraction,corner match and affine transformation.Harris factor is used to detect the corners,and Canny operate is used to extract the edges in two images.The correlation of corner neighborhood is used in edge images to realize coarse corners match.Corners match is refined,and two pairs of corners are chosen as reference point of affine transformation,which are the best in matched corners.The affine transformation model is obtained,and affine transformation in the image prepared for registration is carried out.The experiment results show that the method can well complete automatic registration of infrared image and visual image at a faster registration speed.

参考文献

[1] YANG Cui.Research on the fusion technologies of multi-spectral electro- optical images［D］.Xi′an:Xidian University,2006:5-7.杨翠.多波段光电图像融合技术研究［D］.西安:西安电子科技大学,2006:5-7.

[2] YANG Bi-wu,GUO Xiao-song,ZHAO Jing-min,et al.An algorithm on geometric global registration of parallax images based on wavelet transform［J］.Acta Photonica Sinica,2007,36(3):574-576.杨必武,郭晓松,赵敬民,等.基于小波变换的视差图像全局几何配准新算法［J］.光子学报,2007,36(3):574-576.

[3] DENG Zi-jian,LI Bi-cheng,CAO Wen.An image registration method based on wavelet transformation［J］.Bulletin of Surveying and Mapping,2004(2):16-19.邓子健,李弼程,曹闻.一种基于小波变换的图像配准方法［J］.测绘通报,2004(2):16-19.

[4] . Feature-based image registration algorithm using invariant line moments[J]. Acta Photonica Sinica, 2003, 32(9): 1114-1117.

[5] . Mean divergence measures for medical image registration[J]. Acta Photonica Sinica, 2008, 37(5): 1046-1051.

[6] L Hai-xia.Research on the automatic image registration technologies［D］.Xi′an:Northwest Polytechnical University,2007:6-10.吕海霞.自动图像配准技术研究［D］.西安:西北工业大学,2007:6-10.

[7] PENG Zhen-ming,ZHANG Qi-heng,WEI Yu-xing,et al.Image matching based on multi-features fusion［J］.High Power Laser and Particle Beams,2004,16(3):281-285.彭真明,张启衡,魏宇星,等.基于多特征融合的图像匹配模式［J］.强激光与粒子束,2004,16(3):281-285.

[8] JIAO Yu-long,LUO Xiu-juan,MA Jian-kang.An approach of extracting reliable feature points for image matching［J］.Acta Photonica Sinica,2006,35(2):312-315.焦玉龙,罗秀娟,马健康.一种凹凸边界上特征点的提取方法［J］.光子学报,2006,35(2):312-315.

[9] YANG Gen.Research on moving target cooperative-detection under complex background［D］.Xi′an:Northwest Polytechnical University,2007:17-21.杨根.复杂背景下运动目标的协同检测技术研究［D］.西安:西北工业大学,2007:17-21.

[10] LIU Rui-zhen,YU Shi-qi.OpenCV tutorial basis［M］.Beijing:Beihang University Press,2007:243-258.刘瑞祯,于仕琪.OpenCV教程基础篇［M］.北京:北京航空航天大学出版社,2007:243-258.

[11] JIN Bao-gang,WANG Xiao-lei.A method of automatic registration of ir and visible images［J］.Optics and Optoelec- tronic Technology,2007,5(6):60-62.金宝刚,王晓蕾.一种红外与可见光图像的自动配准方法［J］.光学与光电技术,2007,5(6):60-62.

[12] . Infrared-visual image registration based on corners and hausdorff distance[J]. Lecture Notes in Computer Science, 2007, 4522: 383-392.

[13] SHI Zhi,ZHENG Jian-guo.M-scale function and its applications to image zooming［J］.Acta Photonica Sinica,2007,36(8):1548-1551.石智,郑建国.M尺度函数及其在图像缩放处理中的应用［J］.光子学报,2007,36(8):1548-1551.

王阿妮, 马彩文, 刘爽, 柳丛, 赵欣. 基于角点的红外与可见光图像自动配准方法[J]. 光子学报, 2009, 38(12): 3328. WANG A-ni, MA Cai-wen, LIU Shuang, LIU Cong, ZHAO Xin. Infrared-Visual Images Automatic Registration Based on Corners[J]. ACTA PHOTONICA SINICA, 2009, 38(12): 3328.

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