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Proceedings Paper

A registration algorithm of improved correlation coefficient for image of rotation and scaling
Author(s): Chun-tao Wei; Tao Hu; Kai-min Yuan
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Paper Abstract

In stereo vision technology, image matching is one of the most important parts, and the coefficient of correlation matching is recognized to be more mature and stable matching algorithm. Correlation coefficient method has high sensitivity to image rotation, but do not have rotation invariance, and require a large computational complexity. Because of this it cannot be widely applied in the field of real-time image matching. This paper is aimed at this drawback to make its computational complexity greatly reduced, posses the scale and rotation invariance, so as to meet the requirements of real-time image matching system, this paper proposes a image registration algorithm of accurate registration combined with Fourier-Mellin transform and Radon transform of image. After the introduction of Fourier transform and correlation coefficient method to detect the correct rotation factor and scale factor, it is provided a reliable basis for correlation coefficient method of image registration to achieve both rotation and scaling invariance, image using this method is verified by the experiments on the feasibility of the registration, the registration accuracy is improved.

Paper Details

Date Published: 9 December 2015
PDF: 10 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98080X (9 December 2015); doi: 10.1117/12.2207599
Show Author Affiliations
Chun-tao Wei, Chongqing Jiaotong Univ. (China)
Guilin Univ. of Technology (China)
Tao Hu, Guilin Univ. of Technology (China)
Kai-min Yuan, Guilin Univ. of Technology (China)
Land Planning Research Lab. of Shijiazhuang (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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