A method for image registration combined by edge region and cross correlation

被引：0
作者：
Chen L. [1 ]
Zhou M.-Z. [1 ]
Chen H. [1 ]
机构：
[1] School of Information and Electronics, Beijing Institute of Technology, Beijing
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2016年 / 36卷 / 03期
关键词：
Cross-correlation coefficient; Edge extraction; Edge region; Image registration; Similarity function;
D O I：
10.15918/j.tbit1001-0645.2016.03.018
中图分类号：
学科分类号：
摘要：
A new algorithm aimed at infrared and visible image registration based on cross-correlation coefficient and Canny edge region was presented: regarded the improved Cross-correlation coefficient as the similarity function, extracted the edge region and its nearby area, removed other regions with low correlation, used the particle swarm optimization(PSO) to seek. It shows that this algorithm can overcome the shortcomings which infrared and visible images are poor correlated and avoid the bad matching between multi-sensor images. Multi-sensor image registration could be achieved and small error is guaranteed. © 2016, Beijing Institute of Technology. All right reserved.
引用
收藏
页码：320 / 325
页数：5
相关论文
共 14 条
[1]  
Liang J., Liu X., Huang K., Et al., Automatic registration of multi sensor images using and integrated spatial and mutual information (SMI) metric, IEEE Transaction on Geoscience and Remote Sensing, 52, 1, pp. 604-615, (2014)
[2]  
Cao W.P., Che R.S., Ye D., An illumination independent edge detection and fuzzy enhancement algorithm based on wavelet transform for non-uniform weak illumination images, Pattern Recognition Letters, 29, 3, pp. 192-199, (2008)
[3]  
Sarvaiya J.N., Patnaik S., Bombaywala S., Image registration by template matching using normalized cross-correlation, 2009 International Conference on Advances in Computing, Control and Telecommnication Technologies, 28, pp. 819-822, (2009)
[4]  
Wang Y., Yu Q., Yu W., An improved normalized cross correlation algorithm for SAR image registration, Proceedings of 2012 IEEE International Conference on Geoscience and Remotes Sensing Symposium(IGARSS), pp. 2086-2089, (2012)
[5]  
Cao Q., Image registration based on mutual information, (2008)
[6]  
Zhang L., Infrared and visible image registration algorithm, (2012)
[7]  
Sun S., Wu Y., Wu J., Image registration based on edge feature, Computer Engineering and Applications, 44, 7, pp. 94-96, (2008)
[8]  
Wang Y., Multispectral image registration based on mutual information and corner points, (2005)
[9]  
Irani M., Anandan P., Robust multi-sensor image alignment, Proceedings of IEEE International Conference on Computer Vision, pp. 959-966, (1998)
[10]  
Canny J., A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 6, pp. 679-698, (1986)
12