图像匹配是图像处理应用于诸多领域的一项关键技术,基于不变特征的图像匹配是近年来图像匹配的研究热点.尺度不变特征是最有效的平移、尺度、旋转和亮度局部不变特征之一,但该算法一般会产生大量的错误匹配点.首先给出了交叉线和“一对多”类型的错误匹配点的剔除方法.然后针对一般性错误匹配点,提出了一种基于相似三角形的剔除方法,并通过实验将该算法与另外两种常用剔除算法进行了比较,证实本文提出的方法速度更快,且在剔除错误匹配点的同时保留了较多的正确匹配点.%Image matching is a key technology of image processing applied to many fields. The image matching based on invariant features is the hot spot in image match research recently. SIFT is one of the most effective scale, rotation and illumination invariant features. However there are a lot of wrong match pairs produced by the original SIFT algorithm. Two specific types of wrong matches are analyzed and the corresponding eliminating methods are given. Aiming at general wrong match elimination, a method based on similar triangles is proposed. Experiments are carried out and the results confirm that: the proposed method is faster than the commonly-used two algorithms and it can eliminate wrong matches and preserve correct matches as well.
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