A new image registration method robust to noise

被引：0
作者：
Guangyi Chen
Stéphane Coulombe
机构：
[1] Université du Québec,Department of Software and IT Engineering, École detechnologie supérieure
来源：
Multidimensional Systems and Signal Processing | 2014年 / 25卷
关键词：
Translation-invariant; Rotation-invariant; Scale-invariant; Image registration; Radon transform; FFT;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Image registration is a fundamental task in many image processing applications. In this paper, we estimate the translation, rotation, and scaling parameters between a reference image and a distorted image in order to register them. We use the ratio of means to estimate the scaling factor, the Radon transform to estimate the rotation angle, and the fast Fourier transform to estimate global spatial shifts. Experimental results show that our proposed method can estimate the transformation parameters very accurately. Furthermore, our method performs very well in noisy environments.
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页码：601 / 609
页数：8
相关论文
共 28 条
[1]  
Averbuch A.(2008)A framework for discrete integral transformations I—the pseudo-polar Fourier transform SIAM Journal on Scientific Computing 30 764-784
[2]  
Coifman R. R.(2008)SURF: Speeded Up Robust Features Computer Vision and Image Understanding (CVIU) 110 346-359
[3]  
Donoho D. L.(1987)Registration of translated and rotated images using finite Fourier transforms IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI 95 700-703
[4]  
Israeli M.(2005)Radon transform orientation estimation for rotation invariant texture analysis IEEE Transactions on Pattern Analysis and Machine Intelligence 27 1004-1008
[5]  
Shkolnisky Y.(2005)Pseudo polar-based estimation of large translations, rotations, and scalings in images IEEE Transactions on Image Processing 14 12-22
[6]  
Bay H.(2004)Distinctive Image Features from Scale-Invariant Keypoints International Journal of Computer Vision 60 91-110
[7]  
Ess A.(1999)An improved constant-time algorithm for computing the radon and hough transforms on a reconfigurable mesh IEEE Transactions on Systems, Man, and Cybernetics, Part A—Systems and Humans 29 417-421
[8]  
Tuytelaars T.(1996)An FFT-based technique for translation, rotation and scale-invariant image registration IEEE Transactions on Image Processing 5 1266-1271
[9]  
Van Gool L.(2010)Video denoising based on a spatiotemporal Gaussian scale mixture model IEEE Transactions on Circuits and Systems for Video Technology 20 1032-1040
[10]  
De Castro E.(2010)Estimation of image rotation angle using interpolation-related spectral signatures with application to blind detection of image forgery IEEE Transactions on Information Forensics and Security 5 507-517
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