Yu Xuelian, Chen Qian, Sui Xiubao, Ren Jianle. Registration method of infrared images based on the optimal peak of phase-correlation criterion[J]. Infrared and Laser Engineering, 2013, 42(9): 2589-2596.
| Citation:
|
Yu Xuelian, Chen Qian, Sui Xiubao, Ren Jianle. Registration method of infrared images based on the optimal peak of phase-correlation criterion[J]. Infrared and Laser Engineering, 2013, 42(9): 2589-2596.
|
Registration method of infrared images based on the optimal peak of phase-correlation criterion
- 1.
Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense,Nanjing University of Science and Technology,Nanjing 210094,China;
- 2.
Key Laboratory of Photo-electronic Imaging Technology and System,Ministry of Education of China,Beijing Institute of Technology,Beijing 100081,China
- Received Date: 2013-01-20
- Rev Recd Date:
2013-02-25
- Publish Date:
2013-09-25
-
Abstract
The log-polar transform is a well known space variant image registration scheme. However, due to the phase cross-power spectrum showing the multi-peak distribution, the accuracy of image registration is greatly influenced. To deal with this problem, an infrared image registration method based on the optimal peak of phase-correlation criterion was proposed. First, the source image and the reference image were converted to the log polar domain respectively. Second, the adaptive Butterworth high-pass filter was adopted to weaken the low-frequency noise. Finally, combined normalized cross-correlation and phase correlation similarity measure, the optimal peak of the cross-power spectrum was acquired based on truncating the low value of the cross-power spectrum. Moreover, the influence of LPT-image size on the matching performance was discussed and the appropriate size ratio of LPT transformation was presented. The experimental results indicate that the proposed method has higher precision and better anti-noisy performance than those of the normal LPT matching algorithm and is suitable for rotated, scaled and translated infrared images registration.
-
References
|
[1]
|
Li Xiaochang, Zhu Dan. Image registration method based on region selection and scale-invariant feature[J]. Infrared and Laser Engineering, 2012, 41(2): 537-542. (in Chinese) 李小昌,朱丹. 采用尺度不变特征和区域选择的图像配准方法[J]. 红外与激光工程, 2012,41(2):537-542. |
|
[2]
|
|
|
[3]
|
|
|
[4]
|
Zhang Ruijuan, Zhang Jianqi, Yang Cui. Image registration approach based on SURF[J]. Infrared and Laser Engineering, 2009, 38(1): 160-165. (in Chinese) 张锐娟, 张建奇, 杨翠. 基于 SURF 的图像配准方法研究[J]. 红外与激光工程, 2009, 38(1): 160-165. |
|
[5]
|
Cao Zhiguo, Wu Bo. The visual scene matching algorithm based on HOG features[J]. Infrared and Laser Engineering, 2012, 41(2): 513-516. (in Chinese) 曹治国, 吴博. 采用HOG特征的下视景象匹配算法[J]. 红外与激光工程, 2012, 41(2): 513-516. |
|
[6]
|
|
|
[7]
|
|
|
[8]
|
Kulin C D, Hines D C. The phase correlation image alignment method[C]//IEEE International Conference on Cybernetics and Society, 1975: 163- 165. |
|
[9]
|
Averbuch A, Keller Y. FFT based image registration[C]//IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002: 3608-3611. |
|
[10]
|
|
|
[11]
|
|
|
[12]
|
Stone H, Orchard M, Chang E C. Sub-pixel registration of images[C]//Proc 33rd Asilomar Conf on Signals, Systems, and Computers, 1999: 1446-1452. |
|
[13]
|
Reddy B S, Chatterji B N. An FFT-based technique for translation,rotation, and scale-invariant image registration[J]. IEEE Transactions on Image Processing, 1996(5): 1266-1271. |
|
[14]
|
|
|
[15]
|
Zokai S, Wolberg G. Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations[J]. IEEE Transactions on Image Processing, 2005, 14: 1422-1434. |
|
[16]
|
|
|
[17]
|
Xu Junze, Hu Bo, Lin Qing. Mutual information image registration based on log-polar transform[J]. Information and Electronic Engineering, 2009, 7(4): 289-293. (in Chinese) 许俊泽, 胡波, 林青. 对数极坐标变换域下互信息图像配准方法[J]. 信息与电子工程, 2009, 7(4): 289-293. |
|
[18]
|
|
|
[19]
|
Gao Bingxiang, Liu Jun. Infrared image registration based on Fourier-Mellin transform[J]. Journal of Hangzhou Dianzi University, 2011, 31(4): 185-187. (in Chinese) 高炳像, 刘俊. 基于Fourier-Mellin变换的红外图像配准[J]. 杭州电子科技大学学报, 2011, 31(4): 185-187. |
-
-
Proportional views
-
DownLoad: