Description: 三维图象处理软件,有visual c++写成的
里面还有图象分割,形态学处理-3D image processing software, a visual c there is also written in image segmentation, morphological processing Platform: |
Size: 17657856 |
Author:杨柳恩 |
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Description: This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion
-This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion Platform: |
Size: 145408 |
Author: |
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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
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Size: 1485824 |
Author:Son Tran |
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Description: python写得图形处理程序,针对的是血管图像的3D重建与诊断-written in python graphics processing procedures, targeted at the vascular image of the 3D reconstruction and diagnosis Platform: |
Size: 1078272 |
Author:张华 |
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Description: Theba is a plugin-based image analysis framework for doing segmentation and measurements of 3D volumes. Theba comes with a GUI that allows inspection and manipulation of the 3d volume and implementations for segmentation and a wide range of plugins. -Theba is a plugin-based image analysis framework for doing segmentation and measurements of 3D volumes. Theba comes with a GUI that allows inspection and manipulation of the 3d volume and implementations for segmentation and a wide range of plugins. Platform: |
Size: 2104320 |
Author:apple |
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Description: skulldoo.用于3d图像分割及可视化。c++语言，调用了VTK，FLTK，及TCL。-skulldoo. for 3d image segmentation and visualization. c++ language, call the VTK, FLTK, and TCL. Platform: |
Size: 336896 |
Author:Ying Zhu |
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Description: 15篇光流配准经典文献，目录如下：
1、A Local Approach for Robust Optical Flow Estimation under Varying
2、A New Method for Computing Optical Flow
3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
4、all about direct methods
5、An Introduction to OpenCV and Optical Flow
6、Bayesian Real-time Optical Flow
7、Color Optical Flow
8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network
9、Computing optical flow with physical models of brightness Variation
10、Dense estimation and object-based segmentation of the optical flow with robust techniques
11、Example Goal Standard methods Our solution Optical flow under
12、Exploiting Discontinuities in Optical Flow
13、Optical flow for Validating Medical Image Registration
14、Tutorial Computing 2D and 3D Optical Flow.pdf
15、The computation of optical flow
-15 light流配quasi-classical literature, the directory is as follows: 1, A Local Approach for Robust Optical Flow Estimation under Varying2, A New Method for Computing Optical Flow3, Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms4, all about direct methods5, An Introduction to OpenCV and Optical Flow6, Bayesian Real-time Optical Flow7, Color Optical Flow8, Computation of Smooth Optical Flow in a Feedback Connected Analog Network9, Computing optical flow with physical models of brightness Variation10, Dense estimation and object-based segmentation of the optical flow with robust techniques11, Example Goal Standard methods Our solution Optical flow under12, Exploiting Discontinuities in Optical Flow13, Optical flow for Validating Medical Image Registration14, Tutorial Computing 2D and 3D Optical Flow.pdf15, The computation of optical flow Platform: |
Size: 14508032 |
Author:zhangji |
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Description: 这是一个3D医学图像处理软件，可以对图像进行分割和配准，对于三维和二维的医学图像都可以使用。-This is a 3D medical image processing software, you can image segmentation and registration for three-dimensional and two-dimensional medical images can be used. Platform: |
Size: 24842240 |
Author:gaojuan |
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Description: 利用itk的区域增长算法,分割三维图像并用vtk进行重建显示-Regional growth in the use of the itk algorithm, segmentation and three-dimensional image reconstruction shows vtk Platform: |
Size: 233472 |
Author:宋欣 |
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Description: Cet article présente une méthodologie pour intégrer un nouveau
type de contraintes, formées de relations spatiales, dans des modèles
déformables. Les relations spatiales telles que les directions, les distances,
les adjacences ou les symétries, constituent une formalisation
de la description linguistique d’une image. Ces relations sont représentées
par des ensembles flous de l’espace 3D et sont intégrées dans
le modèle déformable sous la forme d’une nouvelle force. Trois méthodes
de construction d’une force externe à partir d’un ensemble flou
représentant une relation spatiale sont introduites. Cette méthodologie
est appliquée à la segmentation de structures cérébrales internes sur
des Images par Résonance Magnétique (IRM). Les paramètres liés aux
relations spatiales sont estimés lors d’une phase d’apprentissage. Les
résultats obtenus montrent que l’utilisation des relations spatiales améliore
significativement la segmentation des structures mal contrastées. Platform: |
Size: 1176576 |
Author:sara311 |
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Description: This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cut approaches to segmentation can be extended to 3-D data and can be used for segmenting 3-D volumes.Other segmentation techniques use either contour or edge segmentation to perform segmentation. The graph cut techniques use both contour and edge information. The main matting techniques are Poisson matting and probabilistic alpha matting using colour statistics. Poisson matting works directly on the alpha matte of the image, and is interactive. The statisticalapproach uses Gaussians to model colour statistics in the image and is not interactive. Platform: |
Size: 21504 |
Author:巡洋舰 |
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Description: 分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果的例子。-Segmentation is one of the basic problems in MRI analysis.We consider the problem of simultaneously segmenting multiple MR images, which, for example, could be a series
of (2D/3D) images of the same tissue scanned over time,different slices of a volume image, or images of symmetric parts. The multiple MR images to be segmented share
common structure information and hence they are able to assist each other in the segmentation procedure. We propose a Bayesian co-segmentation algorithm where the shared information
across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling. Because our co-segmentation algorithm pulls
all the image information into consideration simultaneously,it provides more accurate and robust results than the individual
segmentation, as supported by results from both simulated and real examples. Platform: |
Size: 812032 |
Author:命运 |
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Description: 在VC++6.0集成开发环境下编程实现了MITK在医学图像分割、配准和三维可视化(体绘制).利用MITK读取五种图片格式：PEG,DICOM,BMP,TIFF.RAW。-In VC++6.0 integrated development environment programming the MITK in medical image segmentation, registration and three-dimensional visualization (volume rendering). Using MITK read five picture format: PEG, DICOM, BMP, TIFF.RAW.-In VC++6.0 integrated development environment programming of MITK in medical image segmentation, registration and 3D visualization (volume rendering). MITK read using five kinds of picture formats: PEG, DICOM, BMP, TIFF.RAW.-In VC++6.0 integrated development environment programming the MITK in medical image segmentation, registration and three-dimensional visualization (volume rendering). Using MITK read five picture format: PEG, DICOM, BMP, TIFF.RAW. Platform: |
Size: 1940480 |
Author:lile |
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Description: Fast continuous max-flow algorithm to 2D/3D image segmentation developed in matlab, C and GPU Platform: |
Size: 2300928 |
Author:lsx |
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