An improved matching method base on SURF

Shaoqian Ren; Jun Li

doi:10.1117/12.2502819

9 August 2018 An improved matching method base on SURF

Shaoqian Ren, Jun Li

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108062D (2018) https://doi.org/10.1117/12.2502819
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

An improved matching method base on Speed Up Robert Feature(SURF) is proposed to solve the problem of of false matching in image. Firstly, the SURF keypoints and SURF feature vector are extracted. Then, the coarse matching is performed based on the traditional method of Euclidean distance. Finally, adaptive threshold of Spearman correlation coefficient is used to obtain the final matching points set. The experiments show that the proposed algorithm based on SURF and Spearman correlation coefficient can reduce false matching rate compared with original algorithm in translation, zooming, rotation, varying illumination and noise jamming.

Citation Download Citation

Shaoqian Ren and Jun Li "An improved matching method base on SURF", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062D (9 August 2018); https://doi.org/10.1117/12.2502819

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