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中文摘要：
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。
英文摘要：
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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