Automatic image registration based on feature region
SHU Xiao-hua1,2, SHEN Zhen-kang2
1.School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou Hunan 412008, China;
2.ATR Laboratory, National University of Defense Technology, Changsha Hunan 410073, China
Abstract：In order to solve the problem of feature points definition and extraction in image registration based on feature points, an approach was proposed in this paper. Feature region was defined and extracted instead of feature point. Moravec operator was applied to choose the preparatory feature regions, and rotation-invariant Zernike moment was used to characterize the feature regions. Two-step matching strategy was employed for matching the feature regions, i.e. the initial matching was based on self-organizing mapping network and the fine matching. The automatic image registration framework was established and the image registration was realized. The experiments show that this method can effectively extract the image feature points and perform accurate matching of the feature points, the registration process is completely automated.
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2012, Vol. 32 
