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: 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: 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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Description: 基于图论的图像分割matlab库，很好用，有2d和3d-Image segmentation based on graph theory matlab library, useful, 2d and 3d Platform: |
Size: 1183744 |
Author:bskyfish |
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Description: Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. How- ever, traditional snake models prove to be limited in sev- eral aspects. The presentpaper describes a set of difision equations applied ro image gradient vectors, yielding a vec- torfeld over the image domain. The obtained vectorfield pmvides the Snake Model an exrernal force as well as an auromatic way to generate the initial contours. Finally a region merging technique is employed to further impmve the segmentation results. Platform: |
Size: 1024 |
Author:tarik zahouane |
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Description: 基于边缘检测的三维图像分割方法，通过扫描线检测边缘点-edge based 3D image segmentation algorithm in which the edge point is detected by line scanning. Platform: |
Size: 368640 |
Author:fisher |
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Description: 三维重建方面的一篇俄罗斯博士论文，主要是图像分割方面附有源码，高深值得多看-Three-dimensional reconstruction of a Russian doctoral thesis, the main image segmentation, accompanied by a source, highly worthwhile to look at Platform: |
Size: 2628608 |
Author:sunkaixin |
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Description: 计算机视觉大牛Andrew Blake著的书。
《视觉和图像处理中的马尔科夫随机场》
Markov random fields for vision and image processing-This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently
developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction,
image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more
detailed chapters that follow, as well as a stand-alone introduction to MRFs. Platform: |
Size: 5147648 |
Author:xuyuhua |
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Description: 该资源是一篇关于三维图像分割的文献，文献中详细的介绍了三维分割的方法步骤-This resource is an article about the three-dimensional image segmentation literature, the literature describes in detail the three-dimensional segmentation method steps! ! Platform: |
Size: 1224704 |
Author:李木木 |
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Description: Wepropose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels(In addition, we evaluate the performance of the level set representation of the object shape by comparing it with the point distribution model (PDM). We found the algorithm to be robust to noise and able to handle multidimensional data, while able to avoid the need for explicit point correspondences during the training
phase) Platform: |
Size: 629760 |
Author:songggg
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