光学精密工程2012，Vol.20Issue(11)：2531-2539,9.DOI:10.3788/OPE.20122011.2531
基于不变特征描述符实现星点匹配
Star matching based on invariant feature descriptor
摘要
Abstract
To match automatically rotated stellar images, a rotation invariant matching method based on invariant feature descriptors was proposed, in which the Speeded Up Robust Features (SURF) was used to describe and match star features for the first time. First, a stellar image was segmented, and the non-maxima value was suppressed to extract star points in the stellar image. Then, a star distribution scale factor was calculated, the dominant orientation was obtained in a circle region with a radius of 6s, and the 2O.sX2Os local region was rotated to the dominant orientation. In the local region, the SURF descriptor was calculated for each star. Finally, an automatic matching strategy based on the difference between dominant orientations was proposed. By this method, the threshold was calculated automatically and the transform matrix was given. Experimental results demonstrate that the proposed method can robustly detect star features and achieve a high precision stellar image matching between images with rotation, translation and perspective change. Obtained results show that corre- spondent star errors is below 1 pixel and 1. 5 pixel for simulation and real image experiments, respectively. It indicates that the method to apply SURF descriptor to star matching and recognition is feasible.关键词
星点检测/星点匹配/加速鲁棒特征描述符/尺度不变特征变换描述符Key words
star extraction/ star matching/ Speed-up Robust Feature(SURF) descriptor/ Scale Invariable Feature Transformation(SIFT) descriptor分类
信息技术与安全科学引用本文复制引用
翟优,曾峦,熊伟..基于不变特征描述符实现星点匹配[J].光学精密工程,2012,20(11):2531-2539,9.基金项目
省部级试验技术研究项目(No.2009SY4110005) （No.2009SY4110005）
