A new image registration method robust to noise

被引：7
|
作者：
Chen, Guangyi [1 ]
Coulombe, Stephane [1 ]
机构：
[1] Univ Quebec, Dept Software & IT Engn, Ecole Detechnol Super, Montreal, PQ H3C 1K3, Canada
来源：
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2014年 / 25卷 / 03期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Translation-invariant; Rotation-invariant; Scale-invariant; Image registration; Radon transform; FFT; RADON;
D O I：
10.1007/s11045-012-0202-7
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
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.
引用
收藏
页码：601 / 609
页数：9
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