A Frequency Domain Approach to Fast and Accurate Image Registration
Owing to the demanding processing accuracy and speed for image registration in industrial application, an approach to image registration based on Pseudo-Polar Fast Fourier Transform (PPFFT) and Small World Clonal Selection Algorithm (SWCSA) is introduced. We propose a three-step procedure. Firstly, PPFFT is performed to the image. Then, by using the magnitude of PPFFT, a cost function is designed. Lastly, an optimization algorithm called SWCSA is applied to obtain registration parameters. With PPFFT, the complexity of computation is significantly lower and the speed is faster. Because of the optimization algorithm used, the processing accuracy of our method is higher than that of phase correlation algorithm (PCA). Experimental results demonstrate that the speed of the proposed method is two times faster than that of PDFT-PCA and the maximum registration error is less than 0.2°.
Haili Xu Guoran Hua Jian Zhuang Sunan Wang
School of Mechanical Engineering,Xian Jiaotong University,Shaanxi,China School of Mechanical Engine School of Mechanical Engineering,Nantong University,Jiangsu,China School of Mechanical Engineering,Xian Jiaotong University,Shaanxi,China
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
340-345
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）