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Proceedings Paper

Image registration based on geometric pattern matching
Author(s): Ke Wang; Ying Yan; Tielin Shi; Shiyuan Liu; Qi Xia
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Paper Abstract

We present an image registration method based on geometric pattern matching. The method is applicable to the situation that there is a similarity transformation between two images. First of all, the edges of the images were detected and the edge points were described with subpixel position and direction of gradient vector of intensities. The geometric denoising method was proposed to smooth the position and direction of the edge points. And then a coarse registration was performed to compute the similarity transformation parameters with pixel accuracy. In the end, a high accuracy registration based on iterative closest point (ICP) algorithm is used to obtain the final result.

Paper Details

Date Published: 15 November 2011
PDF: 7 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351K (15 November 2011); doi: 10.1117/12.918113
Show Author Affiliations
Ke Wang, Huazhong Univ. of Science and Technology (China)
Ying Yan, Huazhong Univ. of Science and Technology (China)
Tielin Shi, Huazhong Univ. of Science and Technology (China)
Shiyuan Liu, Huazhong Univ. of Science and Technology (China)
Qi Xia, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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