现代电子技术2017，Vol.40Issue(3)：38-42,5.DOI:10.16652/j.issn.1004-373x.2017.03.011
一种基于历史特征的SURF改进算法研究
Research on a SURF improved algorithm based on historical characteristics
摘要
Abstract
The image registration is one of the fundaments for further application of the digital image processing. The SURF?based image registration algorithm is widely researched and applied due to its high recognition rate,but it has large data quantity and high calculation requirement,so a registration method based on object association is proposed. The object ROI is extracted in the front end of SURF to detect whether a new object has entered into the detection area,so as to divide the old and new ob?jects into two classes for processing. The existing objects can be further filtered according to the motion feature association to sig?nificantly reduce the detection and calculation of the repeated feature points,and avoid the excessive error caused by relying on the gradient direction of the local region pixel. The experimental results show that the improved algorithm has improved the regis?tration rate,its calculation quantity is reduced by 20%,its frame rate trends to be stable when it is dropped to about 0.8,and the algorithm insures good real?time performance.关键词
SURF算法/Hessian矩阵/运动对象识别/匹配率Key words
SURF algorithm/Hessian matrix/moving object recognition/matching rate分类
信息技术与安全科学引用本文复制引用
黄进勇,李哲,张天凡..一种基于历史特征的SURF改进算法研究[J].现代电子技术,2017,40(3):38-42,5.基金项目
国家自然科学基金项目（61303224）；湖北省自然科学基金项目（2014CFB576）；湖北省公安厅自主科研项目 （）
