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基于提升小波的影像变换与匹配
引用本文:陈鹰,林怡.基于提升小波的影像变换与匹配[J].测绘学报,2006,35(1):19-23.
作者姓名:陈鹰  林怡
作者单位:同济大学,测量与国土信息工程系,上海,200092;同济大学,测量与国土信息工程系,上海,200092
摘    要:从第二代小波即小波提升方法出发,研究了一种反对称小波的影像变换算法、导出了其更新函数,并与线性提升算法进行了比较,结果表明,该算法不仅具有在位计算的特性,而且能够更好地突出影像边缘特征,为影像匹配提供了丰富的信息。在实时影像匹配中,同时采用了低频信息和高频分量,构成了多窗口匹配算法,试验证明,该算法能够提高匹配的效率和可靠性。

关 键 词:提升小波  反对称小波  实时影像匹配
文章编号:1001-1595(2006)01-0019-05
收稿时间:02 24 2005 12:00AM
修稿时间:2005-02-242005-09-13

Image Maching and Translation Based on Lifting Scheme Wavelet
CHEN Ying,LIN Yi.Image Maching and Translation Based on Lifting Scheme Wavelet[J].Acta Geodaetica et Cartographica Sinica,2006,35(1):19-23.
Authors:CHEN Ying  LIN Yi
Institution:Department of Surveying and Geo-Informatics, TongJi University, ShangHai, 200092
Abstract:An algorithm of image transform based on lifting scheme wavelet is researched.The update function for the algorithm is educed.Comparing the algorithm with linear lifting wavelet indicates that has not only capability of calculating at same position but also makes image edge clear.This algorithm provides image matching with rich information.Multiwindows matching algorithm is made using low frequency and high frequency image components in image matching.Experiences prove the algorithm is able to improve reliability and efficiency.
Keywords:lifting scheme wavelet  Anti-symmetrical Wavelet  real image matching  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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