Abstract
Speed up Robust Features (SURF) algorithm is an effective feature point extraction algorithm and its high efficiency and high stability are superior to similar algorithms, so it is widely used in image feature point extraction. However, due to the shortcomings of the SURF algorithm itself, it is easy to produce a mismatch phenomenon when performing feature point matching. When the image to be matched and the template image are quite different, the mismatch phenomenon is particularly obvious. In order to eliminate the mismatch, this paper improves the SURF algorithm by adding the RANSAC algorithm that eliminates the mismatched points. Experimental results show that the improved SURF algorithm can effectively eliminate false matching points.
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