Image registration based on geometric pattern matching

Ke Wang; Ying Yan; Tielin Shi; Shiyuan Liu; Qi Xia

doi:10.1117/12.918113

15 November 2011 Image registration based on geometric pattern matching

Ke Wang, Ying Yan, Tielin Shi, Shiyuan Liu, Qi Xia

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351K (2011) https://doi.org/10.1117/12.918113
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

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.

Citation Download Citation

Ke Wang, Ying Yan, Tielin Shi, Shiyuan Liu, and Qi Xia "Image registration based on geometric pattern matching", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351K (15 November 2011); https://doi.org/10.1117/12.918113

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