光学精密工程2011，Vol.19Issue(6)：1391-1397,7.DOI:10.3788/OPE.20111906.1391
改进的SIFT特征提取和匹配算法
Improved algorithm for SIFT feature extraction and matching
摘要
Abstract
A robust automated image matching strategy based on an improved SIFT feature extraction algorithm was proposed according to the characteristics of SIFT algorithm and lunar images. Firstly, the extraction equilibrium of key points was improved by automatically adjusting the coefficient of controlling contrast in the SIFT algorithm. Then, the coarse matching was carried out by using the ratio of the minimum and the second minimum Euclidean distance between the description vectors of SIFT as a threshold and the part incorrect matching of the coarse matching set was removed by principal direction angle difference histogram of matches. Finally, the initial parameters of perspective transformation model were determined by using modified RANSAC method, automatically calculated random sampling numbers, and parameters of error tolerance. Moreover, the model and the error tolerance were used to calibrate the matching pairs in the matching set and to select the correct matching pairs. The experimental results prove that the proposed method is stable and reliable under some variationsfor view points, illumination, rotation, scale and out of focus and it can select the matching threshold of images automatically without manual intervention.关键词
图像处理；月球图像；SIFT特征；图像匹配Key words
image processing/lunar image/Scale Invariant Feature Transform(SIFT) feature/image matching分类
信息技术与安全科学引用本文复制引用
曾峦,王元钦,谭久彬..改进的SIFT特征提取和匹配算法[J].光学精密工程,2011,19(6):1391-1397,7.基金项目
总装备部试验技术研究项目(No.2009SY4110005) （No.2009SY4110005）
