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Proceedings Paper

An improved matching method base on SURF
Author(s): Shaoqian Ren; Jun Li
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Paper 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.

Paper Details

Date Published: 9 August 2018
PDF: 5 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062D (9 August 2018); doi: 10.1117/12.2502819
Show Author Affiliations
Shaoqian Ren, Guilin Univ. of Electronic Technology (China)
Jun Li, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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