Description: 优化大师绿色版本,不需要进行注册,既可以直接使用,非常方便.-optimization Masters green version, does not require registration, either directly use, very convenient. Platform: |
Size: 5277758 |
Author:zhangjian |
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Description: This paper describes the implementation of a multidimensional block-matching nonrigid registration algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possible using local entropy-based similarity measures and the avoidance of the optimization module. -This paper describes the implementation of a multidimensional block-matching nonrigid registration algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possible using local entropy-based similarity measures and the avoidance of the optimization module. Platform: |
Size: 361472 |
Author:fan shuzai |
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Description: 2维的基于互信息的图像配准算法,使用powell法作为优化算法-2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell Platform: |
Size: 78848 |
Author:张旭 |
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Description: 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 minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems Platform: |
Size: 245760 |
Author:zhangji |
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Description: 本代码是利用互信息法进行配准,多分辨率优化地刚性配准。-The code is the use of mutual information registration method, multi-resolution optimization to rigid registration. Platform: |
Size: 3641344 |
Author:齐汝 |
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Description: 基于互信息的图像配准源代码,采用粒子群优化算法-Based on Mutual Information Image Registration source code, the use of particle swarm optimization algorithm Platform: |
Size: 497664 |
Author:hyliu |
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Description: 本人的计算机硕士论文,Powell和SA混合优化的互信息图像配准,-I am a computer master' s thesis, Powell, and SA Hybrid Optimization of mutual information image registration, Platform: |
Size: 90112 |
Author:tangyu |
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Description: 提出了一种图像配准随机梯度下降优化与自适应步长法预测的新的图像配准的方法-Presents a decline in image registration optimization and stochastic gradient adaptive step size to predict a new method of image registration Platform: |
Size: 532480 |
Author:高雪 |
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Description: 基于互信息的图像配准,使用pso和powell优化算法,GUI界面,proj.m-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces, proj.m Platform: |
Size: 21504 |
Author:周一一 |
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Description: 这是一个快速的拟牛顿法程序,非常实用,非常强大-FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients.
Supported:
- Quasi Newton Broyden–Fletcher–Goldfarb–Shanno (BFGS).
- Limited memory BFGS (L-BFGS).
- Steepest Gradient Descent optimization. Platform: |
Size: 10240 |
Author:奕风 |
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Description: 摘 要 为了实现快速精确的图像配准, 提出了基于改进粒子群优化算法的互信息图像配准方法, 以互信息作为图像配准的相似性测度, 使用改进的 PSO 算法来求解配准所需的空间变换参数 改进的粒子群算法引入组织的概念把整个种群划分为多个子群体共同进化, 并引入变异运算减少算法陷入局部最优 把改进的粒子群优化算法应用到医学图像配准领域上来, 实验结果表明, 算法能够得到比较满意的配准结果-Abstract In order to realize the fast precise image registration,a mutual information image registration method based on improved particle swarm optimization is proposed. Mutual information is used as the similar measure. The improved particle swarm optimization algorithm solves the space transformation parameters of registration. The organization concept is introduced in the method to divide the entire population into several sub-groups,meanwhilthe mutation operation in genetic algorithm is introduced to reduce the local extreme. And improved PSO is used in the medical image registration. The results show that the method can achieve more satisfied results of the image registration. Platform: |
Size: 191488 |
Author:vivi |
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Description: 基于互信息的图像配准,优化算法采用Powell算法,采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using matlab-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab Platform: |
Size: 25518080 |
Author:王强 |
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Description: 基于互信息的图像配准,优化算法采用Powell算法,采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using matlab-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab Platform: |
Size: 474112 |
Author:王强 |
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Description: 一个完整的基于互信息的图像配准程序,包括POWELL和PSO两种优化算法,可对有平移和旋转的两幅图像实现准确配准。-A complete image registration based on mutual information procedure, including two POWELL and PSO optimization algorithm can be run properly. Platform: |
Size: 4096 |
Author:chen |
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