摘要
SIFT图像配准是图像处理领域的一项重要技术,在遥感测绘、目标识别、图像及视频检索、导航制导和场景分类等多个领域应用广泛。在对现有SIFT图像配准文献研究的基础上,介绍了经典SIFT算法,将各种SIFT改进方法划分为基于特征点提取的改进和基于图像匹配的改进两类,对各类型的改进方法进行了系统阐述。介绍了点特征图像配准算法性能评价指标,展望了该算法的研究前景。
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.
作者
黄海波
李晓玲
熊文怡
聂祥飞
HUANG Hai-bo;LI Xiao-ling;XIONG Wen-yi;NIE Xiang-fei(College of Electronic and Information Engineering,Chongqing Three Gorges University,Chongqing 404100,China)
出处
《软件导刊》
2019年第1期1-4,共4页
Software Guide
基金
国家自然科学基金项目(61602072)
重庆市高校市级重点实验室资助项目(C16)
重庆高校创新团队建设计划资助项目(CXTDX201601034)
关键词
SIFT
图像配准
点特征
图像处理
SIFT
image registration
point feature
image processing
