| 注册
首页|期刊导航|科技广场|图像特征提取算法研究

图像特征提取算法研究

李亚杰

科技广场Issue(5):4-7,4.
科技广场Issue(5):4-7,4.

图像特征提取算法研究

Research on Image Feature Extraction Algorithm

李亚杰1

作者信息

  • 1. 江西理工大学信息工程学院,江西 赣州 341000
  • 折叠

摘要

Abstract

Image feature extraction involves in computer vision techniques and image processing,and the analysis and processing of computer to extract invariant features of the image can greatly improve the image processing accu-racy and speed. This paper mainly studies three kinds of classic algorithms of image feature extraction,namely SIFT algorithm,SURF algorithm and ASIFT algorithm. By using Matlab platform,VC platform and OpenCV library func-tion,the paper simulates and debugs the above algorithms,compares the effect of three feature extraction algo-rithms,and analyzes their performances as well as advantages and disadvantages.

关键词

图像特征提取/SIFT/SURF/ASIFT

Key words

Image Feature Extraction/SIFT/SURF/ASIFT

分类

信息技术与安全科学

引用本文复制引用

李亚杰..图像特征提取算法研究[J].科技广场,2016,(5):4-7,4.

科技广场

1671-4792

访问量0
|
下载量0
段落导航相关论文