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A Feature Points Matching Algorithm Based on Wavelet Analysis

机译:基于小波分析的特征点匹配算法

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In this paper we present an application of wavelet analysis on feature points matching. Wavelet coefficients which produced by wavelet transform can best display part character of the image. A new method based on the weighted statistics of wavelet coefficients for feature points matching is proposed. Through the new feature description and feature matching method, we can build a feature point database for each image and improve the efficiency of feature points matching. The experimental results show that this method is practicability, feasibility, good precision and fast speed.
机译:在本文中,我们提出了小波分析在特征点匹配中的应用。通过小波变换产生的小波系数可以最好地显示图像的部分特征。提出了一种基于小波系数加权统计的特征点匹配新方法。通过新的特征描述和特征匹配方法,我们可以为每个图像建立特征点数据库,提高特征点匹配的效率。实验结果表明,该方法实用,可行,精度高,速度快。

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