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基于SIFT算法的图像配准综述

黄海波 李晓玲 熊文怡 聂祥飞

软件导刊2019,Vol.18Issue(1):1-4,4.
软件导刊2019,Vol.18Issue(1):1-4,4.DOI:10.11907/rjdk.182042

基于SIFT算法的图像配准综述

A Survey of Image Registration Based on SIFT

黄海波 1李晓玲 1熊文怡 1聂祥飞1

作者信息

  • 1. 重庆三峡学院 电子与信息工程学院,重庆 404100
  • 折叠

摘要

Abstract

Image registration based on SIFT is an important technology in image processing.This technology has been widely used in many fields such as remote sensing mapping, object identification, image and video retrieval, navigation guidance and scene classification.With the study of existing documents of SIFT image registration, the classical SIFT algorithm is introduced in this paper.And the improved methods of SIFT are divided into two categories:the improvement of feature point extraction and the improvement of image registration.And then, the systematical introduction of them are conducted.At the same time, several performance evaluation standards of feature points image registration algorithms are introduced, and the research prospects of this algorithm are forecasted.

关键词

SIFT/图像配准/点特征/图像处理

Key words

SIFT/image registration/point feature/image processing

分类

信息技术与安全科学

引用本文复制引用

黄海波,李晓玲,熊文怡,聂祥飞..基于SIFT算法的图像配准综述[J].软件导刊,2019,18(1):1-4,4.

基金项目

国家自然科学基金项目(61602072) (61602072)

重庆市高校市级重点实验室资助项目(C16) (C16)

重庆高校创新团队建设计划资助项目(CXTDX201601034) (CXTDX201601034)

软件导刊

1672-7800

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