Automatic image registration algorithm based on wavelet transform

被引:0
|
作者
School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China [1 ]
机构
来源
J Beijing Inst Technol Engl Ed | 2006年 / 4卷 / 437-442期
关键词
Estimation - Feature extraction - Least squares approximations - Wavelet transforms;
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学科分类号
摘要
An automatic image registration approach based on wavelet transform is proposed. This proposed method utilizes multiscale wavelet transform to extract feature points. A coarse-to-fine feature matching method is utilized in the feature matching phase. A two-way matching method based on cross-correlation to get candidate point pairs and a fine matching based on support strength combine to form the matching algorithm. At last, based on an affine transformation model, the parameters are iteratively refined by using the least-squares estimation approach. Experimental results have verified that the proposed algorithm can realize automatic registration of various kinds of images rapidly and effectively.
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