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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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图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的
一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem,
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最陡下降法的梯度估计matlab小程序,对初学者有借鉴意义-Steepest gradient descent method is estimated matlab small procedures, there is reference for beginners
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matlab最速下降法,MATLAB最速下降法(梯度法)程序。-matlab steepest descent method, MATLAB steepest descent method (gradient method) program.
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通过最速下降算法研究基于梯度的自适应方法,最速下降是递归的,-Through the study of steepest descent algorithm based on gradient adaptive method, the steepest decline is recursive,
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通过最速下降算法研究基于梯度的自适应方法,最速下降是递归的,-Through the study of steepest descent algorithm based on gradient adaptive method, the steepest decline is recursive,
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