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

页码：2933 / 2937

页数：5

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