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A Combination of the Total Variation Filter and a Fourth-Order Filter for Image Registration

机译:总变化滤镜和四阶滤镜的组合用于图像配准

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摘要

We introduce a novel method for nonrigid image registration which combines the total variation filter and a fourth-order filter. We decompose the deformation field into two components, that is, a piecewise constant component and a smooth component. The total variation filter is used for the first component and the fourth-order filter is used for the second one. Then, we present a new PDE-based image registration model suitable for both smooth and nonsmooth deformation problem. Meanwhile, the local-global similarity measure is used in our method to improve the accuracy and robustness for image matching. By applying the split Bregman algorithmand dual algorithm, we present a fast and stable numerical scheme. The numerical experiments and comparisons on both synthetic images and real images demonstrate the effectiveness of our method in nonrigid image registration.
机译:我们介绍了一种新的非刚性图像配准方法,该方法结合了总变化滤波器和四阶滤波器。我们将变形场分解为两个分量,即分段常数分量和平滑分量。总变化滤波器用于第一个分量,四阶滤波器用于第二个分量。然后,我们提出了一个新的基于PDE的图像配准模型,该模型同时适用于平滑和非平滑变形问题。同时,在我们的方法中使用局部-全局相似性度量来提高图像匹配的准确性和鲁棒性。通过应用分裂的Bregman算法和对偶算法,我们提出了一种快速稳定的数值方案。在合成图像和真实图像上的数值实验和比较证明了我们的方法在非刚性图像配准中的有效性。

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  • 来源
    《Mathematical Problems in Engineering 》 |2015年第9期| 235314.1-235314.16| 共16页
  • 作者单位

    E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China.;

    E China Normal Univ, Dept Comp Sci, Shanghai 200241, Peoples R China.;

    E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China.;

    E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China.;

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