An Impoved Image Registration Method Based on SIFT And SC-RANSAC Algorithm

被引：0
|
作者：
Chen, Chen [1 ]
Mu, Zixin [1 ]
机构：
[1] Wuhan Univ Technol, Automat Sch, Wuhan, Hubei, Peoples R China
来源：
2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年
基金：
中国国家自然科学基金;
关键词：
SIFT algorithm; SC-RANSAC algorithm; image registration; feature extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the speed and accuracy of image registration, this paper proposes a hybrid algorithm combined SIFT and SC-RANSAC algorithm. It utilizes the SIFT algorithm to extract the feature points, and then utilizes nearest-neighbor method to find the matching points of two images. Finally, the SC-RANSAC algorithm is used to get rid of the wrong matching points. The experimental result shows that the proposed algorithm runs faster than algorithm combining SIFT with RANSAC.
引用
收藏
页码：2933 / 2937
页数：5
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