| 基于SURF算法和SC-RANSAC算法的图像配准 |
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| 引用本文： | 杨海燕,罗文超,刘国栋.基于SURF算法和SC-RANSAC算法的图像配准[J].计算机应用研究,2013,30(5):1586-1588. |
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| 作者姓名： | 杨海燕 罗文超 刘国栋 |
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| 作者单位： | 江南大学 轻工过程先进控制教育部重点实验室, 江苏 无锡 214122 |
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| 基金项目： | 国家自然科学基金资助项目（60574051）; 中央高校基本科研业务费专项基金资助项目（JUSRP11022） |
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| 摘 要： | 提出了一种融合SURF算法和SC-RANSAC算法的图像配准方法。首先利用SURF算法提取待匹配图像的特征, 然后用最近邻方法找出匹配点, 最后运用SC-RANSAC算法剔除错误的匹配点, 实现图像的正确配准。实验结果表明, 该方法在保持较高的特征点正确匹配率的前提下, 配准速度高于SURF和RANSAC相结合的方法和SIFT和RANSAC相结合的方法。
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| 关 键 词： | SURF算法 SC-RANSAC算法 特征提取 图像配准 |
Image registration based on SURF algorithm and SC-RANSAC algorithm |
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| YANG Hai-yan,LUO Wen-chao,LIU Guo-dong.Image registration based on SURF algorithm and SC-RANSAC algorithm[J].Application Research of Computers,2013,30(5):1586-1588. |
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| Authors: | YANG Hai-yan LUO Wen-chao LIU Guo-dong |
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| Affiliation: | Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi Jiangsu 214122, China |
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| Abstract: | This paper utilized a hybrid algorithm combined SURF and SC-RANSAC together. This algorithm could be utilized to do image registration. It utilized SURF algorithm to extract image features, and then utilized a nearest-neighbor-search method to find the matching points of two images. At last, it utilized SC-RANSAC algorithm to get rid of the error matches then the results were used to do image registration. Experiments show that the proposed algorithm has a higher matching feature points, and runs faster than algorithm combining SURF or SIFT with RANSAC. |
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| Keywords: | SURF algorithm SC-RANSAC algorithm feature extraction image registration |
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