快速高精度Fourier-Mellin变换图像配准方法
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摘要
提出一种快速高精度Fourier-Mellin变换图像配准方法,可提高高光谱成像过程中光谱复原的速度与精度。该方法运用两次局部上采样相位相关法,一次在对数极坐标域中估计旋转和缩放参数,另一次在笛卡尔坐标系中估计平移参数。引入梯度预处理过程,使算法更加稳健。介绍了Fourier-Mellin变换的原理,该变换可实现旋转和缩放参数的解耦合。在传统相位相关法的基础上介绍了局部上采样相位相关法。证明了梯度预处理过程的必要性。仿真结果表明,所提方法可以实现高精度的图像配准。
A fast and high precision imaging registration method is presented,which can be used to improve the speed and accuracy of spectral recovery in a hyperspectral imaging process.In this method,two local upsampling phase correlation methods are adopted.One is to estimate the rotation and scaling parameters in a log-polar space,and the other is to estimate the translation parameters in a Cartesian space.A gradient preprocessing process is introduced to make the method more robust.The principle of Fourier-Mellin transform is introduced and this transform can decouple the rotation and scaling parameters.Based on the traditional phase correlation method,the local upsampling phase correlation method is introduced.The necessity of the gradient preprocessing process is verified.The simulation results show that the proposed method can be used to achieve high precision image registration.
A fast and high precision imaging registration method is presented,which can be used to improve the speed and accuracy of spectral recovery in a hyperspectral imaging process.In this method,two local upsampling phase correlation methods are adopted.One is to estimate the rotation and scaling parameters in a log-polar space,and the other is to estimate the translation parameters in a Cartesian space.A gradient preprocessing process is introduced to make the method more robust.The principle of Fourier-Mellin transform is introduced and this transform can decouple the rotation and scaling parameters.Based on the traditional phase correlation method,the local upsampling phase correlation method is introduced.The necessity of the gradient preprocessing process is verified.The simulation results show that the proposed method can be used to achieve high precision image registration.
引文
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[2] Bai C X,Li J X,Meng X,et al.Hyperspectral imaging based on symmetric wedgy interferometric cavity[J]. Acta Optica Sinica,2015,35(8):0811002.柏财勋,李建欣,孟鑫,等.基于对称楔形干涉腔的高光谱成像方法[J].光学学报,2015,35(8):0811002.
[3] Li J,Peng Q M,Fan Z H.A survey of sub-pixel image registration methods[J].Journal of Image and Graphics,2008,13(11):2070-2075.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):2070-2075.
[4] Seitz P. Optical superresolution using solid-state cameras and digita;signal processing[J].Optical Engineering,1988,27(7):277535.
[5] Tian Q, Huhns M N. Algorithms for subpixel registration[J].Computer Vision,Graphics,and Image Processing,1986,35(2):220-233.
[6] Chen H. Gradient-based approach for fine registration of panorama images[J].Journal of Computer Science and Technology,2004,19(5):691-697.
[7] Pluim J P W, Maintz J B A,Viergever M A.Mutual-information-based registration of medical images:A survey[J].IEEE Transactions on Medical Imaging,2003,22(8):986-1004.
[8] Maes F,Vandermeulen D,Suetens P.Medical image registration using mutual information[J].Proceedings of the IEEE,2003,91(10):1699-1722.
[9] Reddy B S,Chatterji B N.An FFT-based technique for translation,rotation,and scale-invariant image registration[J]. IEEE Transactions on Image Processing,1996,5(8):1266-1271.
[10] Zhang C M,Zhao B C,Bin X L.Wide-field-of-view polarization interference imaging spectrometer[J].Applied Optics,2004,43(33):6090-6094.
[11] Zhang C M,Bin X L,Zhao B C,et al.A static polarization imaging spectrometer based on a Savart polariscope[J].Optics Communications,2002,203(1/2):21-26.
[12] Zhang C M,Zhao B C,Xiangli B,et al.Analysis and calculation of throughput of the polarization interference imaging spectrometer[J].Acta Optica Sinica,2001,21(2):192-197.张淳民,赵葆常,相里斌,等.偏振干涉成像光谱仪通量的分析与计算[J].光学学报,2001,21(2):192-197.
[13] Chen Q S,Defrise M,Deconinck F.Symmetric phase-only matched filtering of Fourier-Mellin transforms for image registration and recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1994,16(12):1156-1168.
[14] Wang C L,Cheng Y,Zhao C X,et al.Robust subpixel image registration technique based on local phase correlation[J].Journal of Image and Graphics,2011,16(3):427-432.王彩玲,程勇,赵春霞,等.局部相位相关用于图像亚像素级配准技术研究[J].中国图象图形学报,2011,16(3):427-432.
[15] Guizar-Sicairos M, Thurman S T,Fienup J R.Efficient subpixel image registration algorithms[J].Optics Letters,2008,33(2):156-158.
[16] Soummer R,Pueyo L,Sivaramakrishnan A,et al.Fast computation of Lyot-style corona graph propagation[J].Optics Express,2007,15(24):15935-15951.
[17] Tzimiropoulos G,Argyriou V,Zafeiriou S,et al.Robust FFT-based scale-invariant image registration with image gradients[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(10):1899-1906.