一种基于相位互相关平方和的图像配准算法

Image Registration Based on the Quadratic Sum of Phase Correlation

提出一种存在大刚性变换的两图像配准算法.算法直接构造一个关于旋转角的表示配准程度的函数,该函数来自于两图像的 Radon 变换之间的相位互相关的平方和,取最大的坐标即为对旋转角的估计.实验比较该算法和基于双谱的算法,结果表明本文算法在抗杂波、噪声方面效果更好,可以鲁棒、精确地估计两图像存在的任意旋转及中等程度的平移.

A method for two-image registration with rigid transformation is proposed. It directly constructs an evaluation function of rotations, which comes from the quadratic sum of the one dimensional phase correlation between the Randon transforms in the two aligned images. The coordinate of the maximum value of this function yields the estimate for rotation angle. Experimental results show that the proposed method outperforms phase-only bispectrum based method, and it can estimate both arbitrary rotations and medium translations robustly and accurately.