Description: 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. Platform: |
Size: 2743 |
Author:方宝玉 |
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Description: This a collection of utilities for warping of MRI image volumes.
See the man pages for documentation.
The warp method is described in detail in the following paper
Enhancing the Multivariate Signal of 15-O water PET Studies With a
New Non-Linear Neuroanatomical Registration Algorithm
IEEE Transactions on Medical Imaging, 1999, 18(6), p306-19
-This a collection of utilities for warpi Vi of MRI image volumes. See the man pages for doc umentation. The warp method is described in det annexed in the following paper Enhancing the Multiv ariate Signal of 15-O water PET Studies With a Ne w Non-Linear Registration Al Neuroanatomical gorithm IEEE Transactions on Medical Imaging, 1999, 18 (6), p306-19 Platform: |
Size: 141312 |
Author:胡顺波 |
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Description: 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. Platform: |
Size: 2048 |
Author:方宝玉 |
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Description: nonrigid_version10: Registration of two 2D images or 3D volumes both rigid and non-rigid with smooth b-spline grid without landmarks Platform: |
Size: 507904 |
Author:zhangxq |
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Description: edited by Joseph Hajnal, David Hawkes and Derek Hill. Part 1. Methodology.Part 2. Applications of rigid-body registration.Part 3. Techniques and applications of non-rigid registration Platform: |
Size: 4930560 |
Author:陈晨 |
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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: 这是一篇对于SIFT算法应用于非刚性图像配准的论文,相当不错-This is one for the SIFT algorithm is applied to non-rigid image registration of papers, quite good Platform: |
Size: 453632 |
Author:黄显武 |
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Description: 本书详细介绍了医学图像注册方面的知识,包括配准的原理、刚性配准、非刚性配准,对于医学图像处理方面的研究具有很重要的参考价值。-The book details the registration of medical image information, including the principle of registration, rigid registration, non-rigid registration for medical image processing research has important reference value. Platform: |
Size: 5411840 |
Author:郭静 |
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Description: 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 Platform: |
Size: 345088 |
Author:丁呈 |
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Description: 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.- Platform: |
Size: 46080 |
Author:tzj |
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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: 系统地阐述了医学图像非刚性配准技术的当前现状。从非刚性配准的四个模型入手,在常用的医学图像配准框架之上。有PPT,mindmanager 的思维导图可以帮助大家更好地理解-Systematic exposition of non-rigid medical image registration technology, the current status quo. From the non-rigid registration of four models to start, in a common framework for medical image registration above. Platform: |
Size: 4421632 |
Author:薛晓虎 |
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Description: 一篇关于现今常用图像配准算法的一个PPT,主要是关于非刚性配准算法的一些数学模型-A PPT on now common image registration algorithms, mainly about some mathematical models of the non-rigid registration algorithm Platform: |
Size: 1655808 |
Author:钱春俊 |
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Description: Demons算法是一种基于灰度信息的全自动非刚性配准方法,其配准结果容易受图像之间灰度不一致的影响-Demons algorithm is a kind of automatic non rigid registration method based on gray level information, and the result of registration is easy to be affected by the gray level between images.
Platform: |
Size: 3235840 |
Author:zcwl |
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