搜索资源列表
TPS-RPM
- 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.
feigangxing
- 基于matlab 图像配准 利用非刚性强壮点匹配法匹配两幅图像的一个解约方案
rigid-registration
- 医学图像配准中的刚性配准两幅图像,希望大家用得到。-Medical Image Registration in the rigid registration of two images, I hope you get to use.
nonrigid_version7b
- 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
siftregistration
- 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
my_method
- 一种新的方法,可以自动对两幅图像进行刚性配准。采用matlab和c++混编,速度得到一定的提高。-Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
ThinPlateSpline_MatlabCode
- 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.
nonrigid_ver4b
- 性能良好的非刚性配准程序,能够实现局部形变的非刚性配准,程序内赋有配准和待配准图像。-a excellent nonrigid registration program. it could achieve the local deformable image registration.
medicalimageregistration
- 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 h
ThinPlateSplines
- 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
imagestitching
- 这是完全用C++编程的图像拼接程序,在配准上能够很好的适应图像的刚性变换。-This is entirely in C++ programming, image stitching program, registration can be a good fit on the image of rigid transformation.
peizhun
- 基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题,推崇寻找某种适当的空间变换,使两幅图达到空间位置上的定位和配准,进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an
nonrigid-register
- 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 comm
demons
- demons三维非刚性图像配准,速度很快,基于ITK-demons of 3D non-rigid image registration, very fast, based on ITK
registration
- 非刚性物体的图像配准,matlab-Image registration of non-rigid objects, matlab. . . . .
a-models-algorithm(ppt)
- 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
registration_feigangxing
- 关于非刚性配准的matlab 代码,解决图像非线性形变的配准问题(Matlab code about non-rigid registration, solve the problem of nonlinear deformation image registration)
基于互信息的肝脏图像配准算法研究
- 基于互信息的肝脏图像配准算法研究 肝脏是人体重要的消化器官,肝脏疾病直接影响到人的生命健康。医学影像 学的快速发展为临床诊断提供了丰富直观的医学图像,肝脏CT增强扫描图像使 用造影剂可以在不同相期得到肝动脉与肝静脉高亮的图像,而不同模态的肝脏图 像反映了不同的病理信息。单一相期图像和单一模态图像往往都不能全面反映出 病理信息,通常融合不同肝脏相期图像和不同模态的肝脏图像可以提供更丰富的 信息以便医生掌握病变肝脏的综合信息,从而做出正确诊断或制定出合适的治疗 方案。而这首先要将待融合
nonrigid2d
- 对两幅图像的非刚性配准,适合于脑部,心脏等(Non rigid registration of two images is suitable for brain and so on.)
38867232
- 非刚性强壮点匹配图像配准,用于医学图像配准 good(Strong non-rigid point matching image registration, for medical image registration is good)