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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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非刚性强壮点匹配图像配准。用于医学图像配准。thin plate splines robust point matching.-nonrigid strong point matching image registration. For the medical image registration. Thin plate spline robust point matching.
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The problem of image registration subsumes a number of problems and techniques in multifr a me
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature trackin
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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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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 of Thin plate spline, the completion point of the non-rigid registration method. Such packages provide the algorithm.-
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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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Registration of two 2D/3D images, rigid and with smooth b-spline grid.
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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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matlab code for B-spline Grid, Image and Point based Registration
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MATLAB TOOLBOX FOR NONRIGID IMAGE REGISTRATION USING B SPLINE GRID FOR NON RIGID IMAGE DEFORMATION.CONSISTS OF MANY EXAMPLES IN 2D AND 3D
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基于交叉累计剩余熵的图像配准中插值方法的改进
交叉累计剩余熵（CCRE）比传统互信息在配准强噪声图像时更具优势,但采用部分体积（PV）插值的CCRE在网格点容易产生局部极值,不利于变换参数的优化。针对该问题,研究基于3阶B样条函数的PV插值（BPV）、哈宁窗sinc函数的PV插值（HPV）和Blackman-Harris窗sinc函数的PV插值（BHPV）方法在CCRE中的应用,提出一种新的插值方法。该方法采用灵活的邻域中心,将插值点对联合直方图贡献的权重分散到临近的9个点上,并使用高
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基于B样条的demons弹性图像配准，可用于2D/3D弹性图像配准。-Demons based elastic image registration B-spline, can be used in 2D/3D image registration elasticity.
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B样条弹性配准，内附完整数据，有Demo-B-spline elastic registration
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根据2D或3D图像生成平滑的B样条网格，可用于表征图像(B-spline registration of two 2D / 3D images or corrsp. points, affine and with smooth b-spline grid.)
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数字图形配准示例代码 B样条弹性配准算法（有示例）(Graph registration B spline elastic algorithm (example))
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