Description: 医学影像配准（Medical Image Registration）的入门资料。其中包括：
Fast Parametric Elastic Image Registration.pdf
Image Registration of Sectioned Brains.pdf
Mutual-information-based registration of medical images - a survey.pdf
Registration of histological serial sectionings.pdf
RegistrationMethodsOverview.pdf Platform: |
Size: 11051367 |
Author:ricky yan |
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Description: 医学影像配准（Medical Image Registration）的入门资料。其中包括：
Fast Parametric Elastic Image Registration.pdf
Image Registration of Sectioned Brains.pdf
Mutual-information-based registration of medical images - a survey.pdf
Registration of histological serial sectionings.pdf
RegistrationMethodsOverview.pdf-Medical Image Registration (Medical Image Registration) introductory information. These include: Fast Parametric Elastic Image Registration.pdfImage Registration of Sectioned Brains.pdfMutual-information-based registration of medical images- a survey.pdfRegistration of histological serial sectionings.pdfRegistrationMethodsOverview.pdf Platform: |
Size: 11051008 |
Author:ricky yan |
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Description: 提出一种新的指纹匹配算法.在配准阶段,引入局部方向场匹配,并结合局部细节点拓扑结构匹配以进行指纹对齐 在对齐后的匹配中,首先在两个指纹的细节点集之间进行弹性匹配,得到一个由匹配的细节点对组成的相集,然后以相似集中的细节点做顶点,以各顶点之间的连线为边,为输入指纹和模板指纹组对应的拓扑图进行图匹配 还引入了全局方向场匹配,并与细节点集匹配进行融合,以提高算法的精度.采用FVC2002公布的指纹库进行对比实验,结果证明了算法的有效性.-A new fingerprint matching algorithm. In the registration phase, the introduction of local orientation field matching, combined with the topology of local minutiae matching for fingerprint alignment in alignment after the match, the first two fingerprint minutiae elastic matching between sets, get the details of a matching set of points on the phase composition, and then focus on the details of the points made similar peak to the connection between the vertices for the edge of the input fingerprint and template fingerprint groups corresponding graphs, graph matching also introduces the global orientation field matching, point set match with the details of the fusion to improve the algorithm accuracy. FVC2002 published fingerprint database using comparative experiment results demonstrate the effectiveness of the algorithm. Platform: |
Size: 333824 |
Author:李辉艳 |
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Description: 主要介绍了当前图像配准的情况，并介绍了非弹性图像配准，是一篇很好的参考文献-Introduces the current situation in image registration, and introduced the non-elastic image registration, is a good reference Platform: |
Size: 484352 |
Author:潘雨 |
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Description: 里面包含有关于互信息 距离测度 图像变换等的子代码，还有2D，3D刚性以及弹性配准的代码-Which contains information on the Internet and other distance measure sub-image transform code, as well as 2D, 3D rigid and elastic registration code Platform: |
Size: 2610176 |
Author:媛媛 |
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Description: 医学图像弹性配准新算法的研究，博士论文，对该方面有研究的人可以参考一下-Medical image elastic registration of new algorithms, Ph.D. thesis, the study of people can have a look Platform: |
Size: 5061632 |
Author:沈宇轩 |
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Description: 。 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 models based on physical models of the registration method two broad approaches. Platform: |
Size: 123904 |
Author:高嘉瑜 |
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Description: 弹性配准算法，不是刚性的，内有文章，和实现的源码（matlab），注意看Readme，先运行Init才能运行后面的-Elastic registration algorithm, not rigid, there are articles, and implement source code (matlab), pay attention to see Readme, run the Init to run behind Platform: |
Size: 6587392 |
Author:昊天 |
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Description: 弹性图像配准方法在气象图像中的应用，图像配准是计算机视觉和模式识别领域中的一项重要课题，在遥感探测、医学成像和基于多传感器融合的目标识别等研究中都有重大的应用价值。-Elastic image registration method in meteorological image application, image registration in computer vision and pattern recognition is an important topic in remote sensing, medical imaging, and based on multi-sensor fusion target recognition study have significant Value. Platform: |
Size: 9730048 |
Author:AG枪手 |
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Description: 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. Platform: |
Size: 1319936 |
Author:yxy200530210 |
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Description: 我们采用无办法变形质量人体模板的网格从其原来的姿势对点云数据指定不同的姿势。在此方法中，我们首先建立粗模板网格和点云通过压缩的光谱嵌入技术，利用人体四肢之间的对应关系。基于这些对应关系，我们定义使用弹性能量泛函的非刚性配准的目标和应用离散的梯度流，以减少粗控制网格和点云之间的区别。然后可从之后使用均值坐标控制网格的变形变形的模板网格。(We employ a deformable, deformable human body template mesh to specify different poses from its original pose to point cloud data. In this approach, we first build coarse template meshes and point clouds through compressed spectral embedding techniques that exploit the correspondence between human limbs. Based on these correspondences, we define the use of elastic energy functionals for nonrigid registration of targets and apply discrete gradient flows to reduce the difference between coarse control grids and point clouds. Thereafter, the template mesh can be controlled by using mean coordinates to control mesh deformation.) Platform: |
Size: 6510592 |
Author:CeciEve
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Search - elastic registration