基于MATLAB的傅里叶梅林变换算法图像拼接的实现

Image Matching System Based on Fourier-Mellin Method

快速傅立叶变换(FFT)改进了离散傅立叶变换(DFT)的计算过程,被广泛应用于数字图像的实时处理中.在相位相关技术的基础上,提出了一种新的图像配准算法,即在需要配准的两幅图像中心选取相同区域大小,进行傅里叶梅林变换,变换后是一个二维脉冲信号,由此而得到图像配准参数.实验结果表明了该算法的有效性和可靠性.

The fast Fourier transform(FFT) improves the computational process of the discrete Fourier transform(DFT),and is applied in real time processing of digital image abundantly.This paper proposes a new image registration algorithm based on phase-correlation technology,two same size patch needed to be cropped in the central patch of the two image,then conduct the Fourier-Mellin transform,the transformed result was a 2-D impulse.And the impulse location can determine the scaled and rotated factors.The experimental results show t hat t he algorithm is efficient and reliable.