circular correlation
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2019 ◽  
Vol 21 (6) ◽  
pp. 1538-1550 ◽  
Author(s):  
Yuxin Peng ◽  
Jinwei Qi


2017 ◽  
Vol 60 (6) ◽  
pp. 1827-1847 ◽  
Author(s):  
Xiaoping Zhan ◽  
Tiefeng Ma ◽  
Shuangzhe Liu ◽  
Kunio Shimizu
Keyword(s):  






2014 ◽  
Vol 912-914 ◽  
pp. 1092-1097
Author(s):  
Fu Hua Song ◽  
Peng Hui Li ◽  
Jian Ran Deng

Image registration is an important task in image processing. In this paper, a new and fast contour-based image registration algorithm is proposed. In this algorithm, we fetch contour points and calculate the normal angles firstly, then figure out the histogram of the contour-feature points. By computing circular correlation of the histogram, the rotation angle can be gained. As the rotation angle is obtained, it vastly simplifies the complexity of estimating other registration parameters and reduces the calculated amount, thus achieving a fast image registration algorithm. This algorithm has the invariance of rotation, translation and scale, and it has high robustness for either open contour or closed contour.



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