太原理工大学学报2017，Vol.48Issue(5)：828-832,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.05.022
基于局部统计特性及SIFT算法的图像配准
Image Registration Based on Statistic Characteristics and SIFT Algorithm
摘要
Abstract
In order to overcome the great computational complexity in SIFT (i.e.,scale invar-iant feature transform) image matching algorithm,the paper has been designed to firstly estimate the local information function of two images to be matched,and subsequently to apply SIFT fea-ture exaction in the areas of larger amount of local information whereas not to utilize it in the are-as of small amount of local information.A relational formula for geometric calibration has been established by using the correspondence between detected feature points with the aim of matching their images.The theoretical analysis and experimental results show that most SIFT feature points can be obtained through detecting SIFT features in less image positions by using local in-formation functions to prescreen them.This method can further improve the speed of computa-tions through giving up some feature points with lesser information.This algorithm achieves good matching effect.关键词
局部信息/SIFT算法/图像配准/图像分割Key words
local information/SIFT algorithm/image registration/image segmentation分类
信息技术与安全科学引用本文复制引用
冀振宁..基于局部统计特性及SIFT算法的图像配准[J].太原理工大学学报,2017,48(5):828-832,5.基金项目
国家自然科学基金资助项目:基于反相对称法的分集技术的理论研究(61271249) （61271249）
