A Centroid-Based Automatic Image Registration Method
Received:August 18, 2019  Revised:October 25, 2019
Key Word: automatically matching   threshold function   closed boundary extracting matrix   image registration  
Fund ProjectL: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 NameAffiliation
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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