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首页> 外文期刊>International Journal of Image Processing >Adaptive Multiscale Stereo Images Matching Based on WaveletTransform Modulus Maxima
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Adaptive Multiscale Stereo Images Matching Based on WaveletTransform Modulus Maxima

机译:基于小波变换模极大值的自适应多尺度立体图像匹配

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In this paper we propose a multiscale stereo correspondence matching method based on wavelets transform modulus maxima. Exploitation of maxima modulus chains has given us the opportunity to refine the search for corresponding. Based on the wavelet transform we construct maps of modules and phases for different scales, then extracted the maxima and then we build chains of maxima. Points constituents maxima modulus chains will be considered as points of interest in matching processes. The availability of all its multiscale information, allows searching under geometric constraints, for each point of interest in the left image corresponding one of the best points of constituent chains of the right image. The experiment results demonstrate that the number of corresponding has a very clear decrease when the scale increases. In several tests we obtained the uniqueness of the corresponding by browsing through the fine to coarse scales and calculations remain very reasonable.Abdelhak EZZINE aezzine@uae.ac.ma39 imm serghiniya Rue liban ENSAT/ SIC/LABTICAbdelmalek ESSAADI UniversityTangier, 99000, Morocco
机译:本文提出了一种基于小波变换模极大值的多尺度立体对应匹配方法。最大模量链的利用为我们提供了完善相应搜索的机会。基于小波变换,我们构建了不同比例的模块和相位图,然后提取了最大值,然后构建了最大值链。点组成的最大模量链将被视为匹配过程中的关注点。其所有多尺度信息的可用性允许在几何约束下针对左图像中的每个兴趣点搜索,这些兴趣点对应于右图像的组成链的最佳点之一。实验结果表明,随着比例的增加,相应的数量有非常明显的减少。在几项测试中,我们通过浏览从细到粗的比例表获得了对应项的唯一性,并且计算仍然非常合理。

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