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一个薄板样条模型(thin plate spline)matlab源代码
Update : 2008-10-13 Size : 44.28kb Publisher : zhu

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.
Update : 2025-02-17 Size : 45kb Publisher : Jing Fan

Fast computation of a discretized thin-plate smoothing spline for image data
Update : 2025-02-17 Size : 3kb Publisher : 聂建辉

一个薄板样条模型(thin plate spline)matlab源代码-A thin plate spline model (thin plate spline) matlab source code
Update : 2025-02-17 Size : 44kb Publisher : zhu

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.
Update : 2025-02-17 Size : 44kb Publisher : 季全

DL : 0
Radial basis functions are used for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass). The package also calculates line integrals between two points. For more information, see blog.nutaksas.com for academic papers.
Update : 2025-02-17 Size : 10kb Publisher : ssss

DL : 0
Non-rigid image warping using Thin-plate spline interpolation
Update : 2025-02-17 Size : 251kb Publisher : mansour nejati

DL : 0
径向基函数神经网络Matlab源代码,非常实用-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
Update : 2025-02-17 Size : 19kb Publisher : 陈明

薄板样条图像变换方法,MATLAB程序,根据控制点变化平滑地变形图像,experiment.m为例子-Thin plate spline image transformation method, MATLAB program, based on the control points change smoothly deformed image, experiment.m for example
Update : 2025-02-17 Size : 39kb Publisher : yixiao

DL : 0
径向基函数插值使用一系列基函数,它们在每个采样点对称且居中。径向基函数是一类特殊的函数,其主要特征是它们的响应与中心点的距离单调地减小(或增加)。中心、距离刻度和精确的形状是模型的参数。(Radial Basis Function interpolation with biharmonic, multiquadric, inverse multiquadric, thin plate spline, and Gaussian basis functions for Matlab/Octave. RBF interpolation uses a series of basis functions that are symmetric and centered at each sampling point. Radial basis functions are a special class of functions with their main feature being that their response decreases (or increases) monotonically with distance from a central point. The center, the distance scale, and the precise shape are parameters of the model.)
Update : 2025-02-17 Size : 33kb Publisher : baidudu
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