计算机应用研究2011，Vol.28Issue(2)：788-791,4.DOI:10.3969/j.issn.1001-3695.2011.02.109
基于Harris角点量与相位相关的亚像素级图像配准方法
High accuracy subpixel image registration based on phase-only correlation of Harris strength
摘要
Abstract
Phase correlation is used to perform image-to-image registration, and the fast direct Fourier-based algorithm ( FDFA) makes registration accuracy up to subpixel, where Fourier components in the Fourier domain and windows in the pixel domain are carefully chosen to eliminate image-boundary effects, making the shift estimation more accurate. This paper proposed a new phase correlation method in which, instead of original images, used the Harris strength of them to determine the image shift. It first extracted feature points from the image using Harris detector, and selected the geometric point. Then placed a circular window around this point on its Harris strength, so the phase correlation could be carried out to estimate the shift. This method suppressed the image-beundary without introducing truncating error, and it did the phase fitting simply by the first Fourier component. Experimental results validate the accuracy of shift estimation is improved greatly by introducing the Harris strength for scenes which contain prominent geometric points.关键词
相位相关/亚像素/图像配准/Harris角点分类
信息技术与安全科学引用本文复制引用
樊志华,王春鸿,饶长辉,姜文汉..基于Harris角点量与相位相关的亚像素级图像配准方法[J].计算机应用研究,2011,28(2):788-791,4.基金项目
国家"863"计划资助项目 （）
中国科学院知识创新工程重要方向资助项目(KGCX2-Y11-920) （KGCX2-Y11-920）
