An Improved Matching Method based on SURF

被引：0
|
作者：
Ren, Shaoqian [1 ]
Li, Jun [1 ,2 ]
机构：
[1] Guilin Univ Elect Technol, Sch Elect Engn & Automat, Guilin 541000, Peoples R China
[2] Guilin Univ Elect Technol, Guangxi Key Lab Optoelect Informat Proc, Guilin 541000, Peoples R China
来源：
TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018) | 2018年 / 10806卷
关键词：
SURF; Adaptive threshold; Spearman correlation coefficient;
D O I：
10.1117/12.2502819
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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收藏
页数：5
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