计算机技术与发展2016，Vol.26Issue(11)：58-62,5.DOI:10.3969/j.issn.1673-629X.2016.11.013
改进的SIFT图像匹配算法
Improved SIFT Image Matching Algorithm
摘要
Abstract
In many image matching algorithm, SIFT algorithm puts the scale space theory fusion into image feature point extraction process based on the summary of the advantages of many traditional algorithms,so that it keeps the scale and rotation invariance for image and in the external light illumination changes and other factors influence,can also match the image feature points accurately. But it still exists great shortage in terms of affine transformation. Aiming at them,the SIFT method is used to extract image feature points and ASIFT method is applied to carry out affine transformation for extracted feature points and to distribute direction,enhancing image anti affine and maintaining the image rotation invariance. The experimental results show that the improved algorithm can achieve good results in enhan-cing the anti radiation of the image based on the advantages of the original SIFT algorithm.关键词
SIFT/ASIFT/抗仿射性/图像匹配/特征点Key words
SIFT/ASIFT/anti affine/image matching/feature points分类
信息技术与安全科学引用本文复制引用
李炀,翟社平..改进的SIFT图像匹配算法[J].计算机技术与发展,2016,26(11):58-62,5.基金项目
陕西省自然基金面上项目(2012JM8044) （2012JM8044）
陕西省教育厅项目(12JK0733) （12JK0733）
西安邮电大学创新基金项目(114-602080059) （114-602080059）
