| A Centroid-Based Automatic Image Registration Method |
| Received:August 18, 2019 Revised:October 25, 2019 |
| Key Words:
automatically matching threshold function closed boundary extracting matrix image registration
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| Fund Project:Supported by the Special Scientific Research Program of the Education Department of Shaanxi Province (Grant No.18JK0161) and the Scientific Research Foundation of Shaanxi University of Technology (Grant No.SLGQD1807). |
| Author Name | Affiliation | | Peng ZHENG | School of Mathematics and Computer Science, Shaanxi University of Technology, Shaanxi 723001, P. R. China | | Keni ZHENG | Division of Physics, Engineering, Mathematics, and Computer Science, Delaware State University, Dover 19901, U. S. A. | | Xiquan SHI | Division of Physics, Engineering, Mathematics, and Computer Science, Delaware State University, Dover 19901, U. S. A. |
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| Abstract: |
| Image registration is a kind of image processing that merges a series of pictures, any two neighbors having a common part, into one global image. Together with the feature extracting, the most difficult work in automatic registration is how to efficiently match the common feature information in different images. Based on the invariant property of affine transform, a centroid-based method of automatic feature matching is presented in this paper. Compared with the current state-of-the-art methods, the method in this paper is more efficient for the testing images, including MRI, CT, and satellite images. Another advantage of the method in this paper is that it has a linear computational complexity. |
| Citation: |
| DOI:10.3770/j.issn:2095-2651.2019.06.009 |
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