关键词: 图像处理, 特征点匹配, 误匹配, 自适应邻域

Abstract: Aiming at the situation that the matching pair of image feature point brute-match and ratio test can’t take into account both the quantity and the correct rate, an algorithm based on adaptive neighborhood test is proposed to eliminate the mismatched pair. Firstly, the ratio of violent matching and high threshold of feature points is tested to obtain the initial matching point set, then adaptive neighborhood testing is performed on each matching feature point in the initial matching point pair, it tests out the obvious mismatch points in the initial matching points and removes them, achieves the effect of removing only false matches without mistakenly removing the correct match. The experimental results show that the number of matching pairs obtained by this algorithm is more than 30% higher than the original algorithm, on the premise that the correct rate is not reduced, and the algorithm has good versatility for image rotation and scaling.

Key words: image processing, feature point matching, mismatching, adaptive neighborhood