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使用薄板样条函数，完成点对的非刚体配准方法。此类提供算法的封装。-use thin-plate spline function, the completion point of the non-rigid registration method. Algorithm for such packaging.
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基于b样条的弹性图像配准程序
matlab实现,B-spline-based elastic image registration procedures for the realization of matlab
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非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
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nonrigid_version10: Registration of two 2D images or 3D volumes both rigid and non-rigid with smooth b-spline grid without landmarks
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thin plate spline（薄板样条）模型，将已知图像通过非刚性变换得到所需要的图像，在图像配准中非常有用。-thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.
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介绍如何使用薄板样条对图像进行分解和变形，对图像进行非刚性配准-Describes how to use the thin-plate spline decomposition and deformation of the image, the image is non-rigid registration
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。 该文提出了多项式法、 样条函数法等基于空间变换的配准方法， 以及弹性模型、 粘性流体模型和光流场
模型等基于物理模型的配准方法两大类方法。-. This paper presents a polynomial, spline function method based on spatial transformation registration method, and an elastic model, viscous fluid model and optical flow model
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