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Description: 在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour models such as the geodesic contours Die Mumford - or-shah model and the other a combination of segmentation. Specific image may be some a priori knowledge (gray and shape information) to join algorithm
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Size: 55877 |
Author: 牛牛 |
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Description: Implicit and Non-parametric Shape Reconstruction from Unorganized Data using a Variational Level Set Method
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Size: 1287946 |
Author: 亚子 |
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Description: 在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour models such as the geodesic contours Die Mumford- or-shah model and the other a combination of segmentation. Specific image may be some a priori knowledge (gray and shape information) to join algorithm
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Size: 55296 |
Author: 牛牛 |
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Description: 图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章，文章列表为：
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf
[6]An active contour model for object tracking using the previous contour.pdf
[7]Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf
[8]Segmentation in echocardiographic sequences using shape-based snake model.pdf
[9]Active Contours Without Edges.pdf
学习图像处理的人必看的几篇文章-Image Processing on the Snakes: Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of level sets by mean curvature I.pdf [5] Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf [6] An active contour model for object tracking using the previous contour.pdf [7 ] Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf [8] Segmentation in echocardiographic sequences using shape-based snake model.pdf [9] Active Contours Without Edges.pdf learning image processing articles were a must-see
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Size: 5512192 |
Author: 张阳 |
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Description: Implicit and Non-parametric Shape Reconstruction from Unorganized Data using a Variational Level Set Method
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Size: 1288192 |
Author: 亚子 |
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Description: 基于目标监督的先验形状level set模型分割心脏MR图像-Based on the objectives of supervision level set a priori shape model segmentation of cardiac MR images
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Size: 278528 |
Author: jm2005 |
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Description: 1.图像分割方法研究综述；2.基于边缘检测算子的双阈值二值化方法；3.结合形状统计信息的水平集图像分割 4.基于方向局部方差的快速主动纹理分割 5.基于目标轮廓的运动跟踪 6.左心室核磁共振图像的分割-1. Methods of image segmentation 2. Based on Edge Detection Operator of dual-threshold binarization methods 3. Combined with the shape of the level of statistical information set image segmentation 4. Based on the direction of the rapid local variance texture segmentation initiatives 5 . Based on the objectives of the outline of the movement tracking 6. left ventricular magnetic resonance image segmentation
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Size: 14075904 |
Author: Li Li |
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Description: XTools is a comprehensive set of useful vector spatial analysis, shape conversion, and table management tools for ArcGIS that greatly enhances ArcGIS functionality and allows ArcGIS users to get to a new level of efficiency and performance.
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Size: 550912 |
Author: johnny |
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Description: Level-Set人体分割和跟踪 多区域外观模型和自上而下的形状信息分割-Level-Set Person Segmentation and Tracking with Multi-Region Appearance Models and Top-Down Shape Information
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Size: 9646080 |
Author: 王华 |
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Description: 这几张PPT内容主要是李春明针对水平集的一些基本知识、应用展开的。-Lichunming--
Curve evolution and level set methods:
Curve Evolution: from snake to general curve evolution
Level Set Methods: basic concepts and methods
Numerical issues:
Difference scheme: upwind scheme, ENO interpolation…
Reinitialization, velocity extension …
Introduction to calculus of variations and applications:
Segmentation: variational level set, shape prior …
Denoising: diffusion, TV
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Size: 2539520 |
Author: zhangjie |
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Description: 很有用的对于结合形状先验的水平集，国外的的一些文献。-Very useful for combining shape prior level set, some of the literature abroad.
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Author: 王叶 |
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Description: 本产品是一款组态软件。通过本软件可以实现工业数据的采集与监控。在电力系统于电力系统、给水系统、石油、化工等领域的数据采集与监视控制以及过程控制等诸多领域，快速构建工业自动控制系统监控是一项重要需求。组态软件是自动控制系统监控层级的软件平台，使用灵活，部署方便，可以便捷地完成数据的采集与过程控制。基于此种需要，开发了本软件。（1）主要功能列表
1.图形绘制：绘制 点、线、圆、矩形、圆弧、扇形、弦、任意多边形等基本。
2.图形属性设置：图形的形状、颜色、位置的改变等。
3.编辑操作：剪切，复制，粘贴、删除，撤销 重做。
4.文件操作：打开、保存、关闭、另存等。
（2）产品特色
1.操作简单，易于掌握，上手即会。-This product is a configuration software. This can be achieved by software industry data collection and monitoring. In the electric power system in the power system, water supply system, petroleum, chemical industry and many other areas of supervisory control and data acquisition and process control, rapid construction of industrial automatic control system monitoring is an important requirement. Configuration software is the automatic level control system monitoring software platform, flexible, easy to deploy, can easily complete data acquisition and process control. Based on this need, the development of this software. (1) The main function list
1. Rendering: draw points, lines, circles, rectangles, arcs, fan-shaped, string, freeform basic.
2. Set graphic attributes: shape, color, change the position of the graphics and the like.
3. editing operations: cut, copy, paste, delete, undo redo.
4. File operations: open, save, close, save and so on.
(2) Features
1. Simple to operate
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Author: 李自松 |
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Description: Shape priors for level set representations
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Size: 245760 |
Author: xiaozhang |
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Description: image analysis, since thickening of the bladder wall
can indicate abnormality. However, it is a challenging task due to
the artifacts inside bladder lumen, weak boundaries in the apex
and base areas, and complicated outside intensity distributions.
To deal with these difficulties, in this paper, an adaptive shape
prior constrained directional level set model is proposed to segment
the inner and outer boundaries of the bladder wall. In addition,
a coupled directional level set model is presented to refine
the segmentation by exploiting the prior knowledge of region information
and minimum thickness. With our proposed method,
the influence of the artifacts in the bladder lumen and the complicated
outside tissues surrounding the bladder can be appreciably
reduced
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Size: 1906688 |
Author: yangs |
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Description: liver contrast-enhanced CT images
that uses shape-intensity prior level set combining probabilistic
atlas and probability map constrains. We first weight all of
the atlases in the selected training datasets by calculating the
similarities between the atlases and the test dataset to dynamically
generate a subject-specific probabilistic atlas for the test dataset.
Based on the generated probabilistic atlas
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Size: 2123776 |
Author: yangs |
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Description: STACS minimizes an energy functional that combines stochastic region-based and edge-based information with shape priors of the heart and local properties of the contour.The minimization algorithm solves, by the level set method(the Euler-Lagrange equation that describes the contour evolution.
STACS includes an annealing schedule that balances dynamically
the weight of the different terms in the energy functional.)
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Size: 361472 |
Author: songggg
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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)
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Size: 629760 |
Author: songggg
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Description: 水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)
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Size: 61440 |
Author: sixiudant |
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