一种空域和频域相结合的运动图像亚像素配准技术

孙辉; 李志强; 孙丽娜; 郎小龙

一种空域和频域相结合的运动图像亚像素配准技术

中国科学院长春光学精密机械与物理研究所,吉林长春 130033

基金项目:

国家973重点基础研究发展计划资助项目(No.2009CB72400607)

详细信息

中图分类号: TP391.4
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- 被引次数: 0
出版历程
- 收稿日期: 2010-10-11
- 修回日期: 2010-12-13
- 刊出日期: 2011-04-25

Sub-pixel registration of special and frequency domains for video sequences

Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130033,China

摘要

摘要: 针对视频图像运动检测问题,提出了一种结合空域灰度投影和频域相位相关的亚像素图像配准方法。首先,采用灰度投影算法在空域对运动图像进行粗配准,即在图像行和列方向上计算图像灰度投影特征数据,根据灰度相关函数最小化准则,估计像素级运动量;然后,在经过粗配准的两幅图像中心选取尺寸相同的区域,进行快速傅里叶变换,在频域采用扩展的相位相关算法对图像进行精确配准。该方法利用图像的功率谱信息,减少对图像内容的依赖,运用基于最小二乘的曲面拟合法,实现亚像素图像配准参数估计,具有从粗到精的特点,有效提高了图像检测精度。文中最后对样本图像进行了图像配准对比实验,结果表明,该方法可以检测0.01 pixel的运动量, 最大配准误差为0.004 8 pixel。
- 灰度投影 /
- 相位相关 /
- 图像配准 /
- 亚像素 /
- 运动检测
Abstract: To resolve the problems existed in the estimation of motion in video sequences, a novel method combining the gray projection in a spatial domain and the phase correlation in a frequency domain was proposed. Firstly, the gray projection algorithm was adopted to coarsely register images to entire pixel accuracy, which calculates the gray correlation function for the spatial domain in row and column orientations and obtains the pixel-level motion vector between two sequential images by comparing correlation characters. Then, the phase correlation algorithm was adopted to refinedly register images to sub-pixel accuracy, which uses power spectrum information of images to decrease the image dependence. Furthermore, the fitting method of paraboloid surface based on least-square was used to fulfill the estimation of image displacement parameters. To verify the algorithm experimentally, some samples were simulated. The results show that this method can detect the displacement parameters accurately and efficiently, and can offer the image displacement in a accuracy of 0.01 pixel and the maximum registration error less than 0.004 8 pixel.
- gray projection /
- phase correlation /
- image registration /
- sub-pixel level /
- motion detection

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[1] 强赞霞,彭嘉雄,王洪群. 基于傅里叶变换的遥感图像配准方法[J]. 红外与激光工程 , 2004,33(4):385-387. QIANG Z X,PENG J X,WANG H Q. Remote sensing image registration algorithm based on FFT[J]. Infrared and Laser Eng.,2004,33(4):385-387.(in Chinese) [2] 王志强,程红,孙文邦,等. 基于改进Harris算法的航空影像自动配准算法[J]. 遥感信息 ,2008,(6):18-21. WANG ZH Q,CHENG H,SUN W B,et al.. Automatic registration algorithm of aerophotos based on improved harris operator[J]. Remote Sensing Information,2008,(6):18-21.(in Chinese) [3] 冯林,管慧娟、藤弘飞. 基于互信息的医学图像配准技术研究进展[J]. 生物医学工程学 ,2005,22(5):1078-1081. FENG L,GUAN H J,TENG H F. Advances in medical image registration based on mutual information[J]. J. Biomedical Eng. Res.,2005,22(5):1078-1081.(in Chinese) [4] 周永新,罗述谦. 基于形状特征点最大互信息的医学图像配准[J]. 计算机辅助设计与图形学学报 ,2002,14(7):654-658. ZHOU Y X,LUO SH Q. Medical image registration based on mutual information of feature points[J]. J. Computer-Aided Design & Computer Graphics,2002,14(7):654-658.(in Chinese) [5] 张红颖,张加万,孙济洲. 改进Demons算法的非刚性医学图像配准[J]. 光学精密工程 ,2007,15(1):145-150. ZHANG H Y,ZHANG J W,SUN J ZH. Non-rigid medical image registration based on improved Demons algorithm[J]. Opt. Precision Eng.,2007,15(1):145-150.(in Chinese) [6] 吴元昊,于前洋. 基于傅里叶相位差的抗噪声位移估计算法[J]. 光学精密工程 ,2007,15(7):1137-1142. WU Y H,YU Q Y. Denoising algorithm of displacement estimation based on phase difference of Fourier transform[J]. Opt. Precision Eng.,2007,15(7):1137-1142. [7] 杜登崇,蒋晓瑜,姚军. 基于相位相关的电子稳像算法研究[J]. 激光与红外 ,2009,39(1):63-66. DU D CH,JIANG X Y,YAO J. Electronic image stabilization algorithm based on phase correlation[J]. Laser & Infrared,2009,39(1):63-66.(in Chinese) [8] 李治国,安锦文,赵银铃. 基于相位相关的全局运动估计算法[J]. 计算机测量与控制 ,2008,16(4):532-534. LI ZH G,AN J W,ZHAO Y L. Global motion estimation algorithm based on phase correlation[J]. Computer Measurement & Control,2008,16(4):532-534.(in Chinese) [9] 黎俊,彭启民. 范植华.亚像素级图像配准算法研究[J]. 中国图象图形学报 ,2008,13(11):2071-2075. LI J,PENG Q M,FAN ZH H. Asurvey of sub-pixel image registration methods[J]. J. Image and Graphics,2008,13(11):2071-2075.(in Chinese) [10] 徐宝昌,陈哲,赵龙. 一种改进的最小二乘景象匹配算法[J]. 北京航空航天大学学报 ,2005,31(8):848-852. XU B CH,CHEN ZH,ZHAO L. Inproved least-squares acene matching algorithm[J]. J. Beijing University of Aeronautics and Astronautics,2005,31(8):848-52.(in Chinese) [11] FOROOSH H,ZERUBIA J,BERTHOD M. Extension of phase correlation to sub-pixel registration[J]. IEEE Trans. Image Processing,2002,11(3):188-200. [12] SEITZ P. Optical superresolution using solid-state camera and digital signal processing[J]. Optical Eng.,1988,27(7):535-540. [13] KUGLIN C D,HINES D C. The phase correlation image alignment method[J]. Proc. IEEE 1975 Int. Conf. Cybernetics and Society,Sep. 1975:163-165.

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