计算机工程与应用Issue(5)：167-171,5.DOI:10.3778/j.issn.1002-8331.1403-0480
新型优化SIFT的图像快速配准方法研究
Research on novel optimization SIFT algorithm based fast mosaic method
摘要
Abstract
The Scale Invariant Feature Transform(SIFT)algorithm with low matching rate and long time is widely used in image registration. In order to improve the matching rate and the real-time performance, an improved SIFT algorithm is proposed, which extracts the extreme feature of image in the overlapping areas and down-sample the image registration. In feature matching process, the extreme consistency constraints of matching points in overlap region are considered. In order to reduce the description of operator dimension and false matching, and improve the matching accuracy, the local unipolar value in differential scale space is used. On the basis, the image scaling constraints with 180×180 are presented. According to the resized image and original image, the relationship between two transformation matrixes is derived to realize the rapid and accurate image registration. At last, experimental results show the effectiveness and feasibility of the proposed method.关键词
尺度不变特征变换(SIFT)/降采样/图像匹配/图像拼接Key words
Scale Invariant Feature Transform(SIFT)/decimation/image matching/image stitching分类
信息技术与安全科学引用本文复制引用
魏利胜,周圣文..新型优化SIFT的图像快速配准方法研究[J].计算机工程与应用,2015,(5):167-171,5.基金项目
国家自然科学基金（No.61203033）；安徽省自然科学基金（No.1208085QF124）；安徽省教育厅高校自然科学研究项目（No. KJ2011B010）。 （）
