计算机应用与软件2017，Vol.34Issue(7)：166-170,5.DOI:10.3969/j.issn.1000-386x.2017.07.031
基于多尺度角点的改进SIFT算法
AN IMPROVED SIFT ALGORITHM BASED ON MULTI-SCALE CORNER POINT
成春阳 1张静亚1
作者信息
- 1. 常熟理工学院物理与电子工程学院 江苏 常熟 215500
- 折叠
摘要
Abstract
This paper focuses on a kind of improved SIFT algorithm based on the corner point.The algorithm deletes the unstable edge response points by using the unified low main curvature ratio, and combine the SIFT features points which have been screened according to main curvature ratio with the corner points of the image space of Gaussian.In addition, on the aspect of the corner detection, the variance of image region dynamically determines the threshold of the corner detection, so that greatly improving the adaptability of the algorithm.Experiments show that the improved algorithm can extract more dense and high matching feature points, and has the advantage of being insensitive to the main curvature ratio.关键词
特征提取/SIFT算法/角点检测/改进优化Key words
Feature extraction/ SIFT algorithm/ Corner detection/ Improvement optimization分类
信息技术与安全科学引用本文复制引用
成春阳,张静亚..基于多尺度角点的改进SIFT算法[J].计算机应用与软件,2017,34(7):166-170,5.
