首页> 外文会议>Proceedings of 2016 IEEE Information Technology,Networking, Electronic and Automation Control Conference >The pixel-level anti-diffusion method and its application in corresponding points matching
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The pixel-level anti-diffusion method and its application in corresponding points matching

机译:像素级反扩散方法及其在对应点匹配中的应用

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摘要

Texture enhancement is extremely important for image analysis. In this paper, a pixel-level texture enhancement method based on heat conduction equation is proposed. Using this texture enhancement method can efficiently enhance the hidden texture which would increase matching accuracy. And the existence and uniqueness theorem of corresponding points matching(CPM) are also given, the paper proposes pixel-level texture enhancement method based on heat diffusion principle The experiment shows that when the texture contrast and hidden texture visibility increases, the feature points have no moving by using this proposed method, which can be also an advantage. In addition, the proposed method improves the distinction between local texture, meanwhile, increases the quantity of the corresponding points(CPs) of the matching.
机译:纹理增强对于图像分析极为重要。提出了一种基于热传导方程的像素级纹理增强方法。使用这种纹理增强方法可以有效地增强隐藏的纹理,从而提高匹配精度。并给出了对应点匹配(CPM)的存在性和唯一性定理,提出了一种基于热扩散原理的像素级纹理增强方法。实验表明,当纹理对比度和隐藏纹理可见性增加时,特征点就没有了。使用此建议的方法进行移动,这也是一个优势。另外,该方法改善了局部纹理之间的区别,同时增加了匹配的对应点(CP)的数量。

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