计算机应用与软件Issue(9)：147-150,4.DOI:10.3969/j.issn.1000-386x.2013.09.041
一种改进的 SIFT特征点检测方法
AN IMPROVED SIFT FEATURE POINT DETECTION METHOD
摘要
Abstract
Difference of Gaussians operator is used in SIFT image matching algorithm to detect feature points .In calculation the adjacent scales Gaussian smoothed image subtraction is used.In practices, the feature points detected are scattered on whole image and that leads to large amount of subsequent calculations and high mismatching rate , and the real-time property of SIFT algorithm is reduced.To solve the above problems, an optimised region detection method is adopted to improve the feature points detection of SIFT algorithm.First, the target object is detected by an optimised region detection method .Then, the feature points are extracted by Difference of Gaussians operator.It makes the feature points concentrated on the target object, so that simplifies the calculations and improves the real-time property of SIFT algorithm.Finally, the experimental results and application prospects of the improved algorithm are given.关键词
尺度不变特征变换/图像匹配/特征点检测/区域检测/实时性Key words
Scale invariant feature transform (SIFT)/Image matching Feature point detection/Region detection/Real-time property分类
信息技术与安全科学引用本文复制引用
李海洋,永革,何红洲..一种改进的 SIFT特征点检测方法[J].计算机应用与软件,2013,(9):147-150,4.基金项目
四川省教育厅项目（12ZB070）；绵阳师范学院科研项目（2012A18）；绵阳师范学院自然科学资助项目（2013A 12）。 （）
