Description: 基于像素点的全局阈值法求图像的分割
实现方法有五种：
最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法-Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum entropy method, iterative method Platform: |
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Author:余小勇 |
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Description: 用c#语言使用全局迭代的方法对图像进行阈值分割。-Using c# language using the iterative method of global image threshold segmentation. Platform: |
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Author:winter |
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Description: Snake的初衷是为了进行图像分割，但它对初始位置过于敏感，且不能处理拓扑结构改变的问题。初始位
置的敏感性可以用遗传算法来克服，因为它是一种全局优化算法，且有良好的数值稳定性。为了更精确地进行图
像分割，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜
索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的更精确的分割。将其应用于左心室MRI图像的分割，取得了较好的效果。-Snake s original intention was to carry out image segmentation, but it was too sensitive to initial position and can not deal with the issue of topology change. Initial position
The sensitivity of home can be used to overcome the genetic algorithm because it is a global optimization algorithm, and have good numerical stability. In order to more accurately map
Like segmentation, this paper presents a genetic algorithm based on dual-T-Snake model for image segmentation method, it will double-T-Snake model solution found as a genetic algorithm
Cable space, which not only inherited the T-Snake model the ability to change the topology, but also speed up the convergence rate of genetic algorithm. It uses genetic algorithms as a result of the overall excellent
Of performance, to overcome the local minimum of Snake contour deficiencies, which can be more precise on the target partition. Will be applied to MRI images of left ventricle
Segmentation, and achieved good results. Platform: |
Size: 458752 |
Author:ultraqiangda |
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Description: 基于一种新的二值化优化方法 与 实现：综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method Platform: |
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Author:liycstart |
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Description: 一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for
measuring the evidence for a boundary between two regions using a graph-based representation of the image. We
then develop an efficient segmentation algorithm based on this predicate, and show that although this algorithm
makes greedy decisions it produces segmentations that satisfy global properties. We apply the algorithm to image
segmentation using two different kinds of local neighborhoods in constructing the graph, and illustrate the results
with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and
is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability
image regions while ignoring detail in high-variability regions Platform: |
Size: 455680 |
Author:xudq |
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Description: 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model. Platform: |
Size: 40960 |
Author:erdongchen1985 |
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Description: region growing: Perform segmentation by region grow1ng.
[G, NR, SI, TI] = REGIONGROW(F, SR, T). Scan be an array (the same size as F) with a 1 at the coord1nates of every seed point and 0s elsewhere. S can also be a single seed value. Similarly, T can be an array (the same size as F) containing a threshold value for each pixel in F. T can also be a scalar, in wh1ch case it becomes a global threshold. Platform: |
Size: 1024 |
Author:Altaee |
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Description: ，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜
索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的更精确的分割。将其应用于左心室MRI图像
的分割，取得了较好的效果。-This paper presents a genetic algorithm based on dual-T-Snake model for image segmentation method, it will double T-Snake model solution as the genetic algorithm search space, which not only inherited the T-Snake model for the topology change ability, and speed up the Genetic algorithm convergence speed. Because of its global optimization using genetic algorithm performance, to overcome the local minimum of the Snake contour defects, and thus get more precise on the target partition. Will be applied to MRI image segmentation left ventricle, and achieved good results. Platform: |
Size: 458752 |
Author:fuky |
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Description: This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any
anomaly in behaviours occurring both locally and globally. Specifically,
This paperpropose a semantic scene segmentation model to decompose a wide-area
scene into regions where behaviours share similar characteristic and are represented as classes of video events bearing similar features. To model behavioural correlations globally, This paperinvestigate both a probabilistic Latent Semantic Analysis (pLSA) model and a two-stage hierarchical pLSA model for
global behaviour inference and anomaly detection. The proposed framework
is validated by experiments using complex crowded outdoor scenes. Platform: |
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Author:shpark |
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Description: This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions. Platform: |
Size: 7799808 |
Author:1 |
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Description: 论文Active contours with selective local or global segmentation: a new formulation and level set method. Image and Vision Computing, vol.28, issue 4, pp.668-676, April 2010.的源代码.简单,容易学习-code for Paper K.H.Zhang, Lei Zhang, H.H.Song and W.Zhou.,Active contours with selective local or global segmentation: a new formulation and level set method. Image and Vision Computing, vol.28, issue 4, pp.668-676, April 2010. Platform: |
Size: 312320 |
Author:张开华 |
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Description: 用一种算法自动从灰度图像上求得全局分割阈值，将一幅图像中的目标和背景分割开，设这幅图像的目标与背景有着不同的平均灰度，本实验采用灰度平均值。-Use an algorithm to complete global threshold segmentation. In this source file we use average gray level to distinguish the subject and the background. Platform: |
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Author: |
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Description: 新发表论文Graph cuts based active contour model with selective local or global segmentation 附源码，基于图割的主动轮廓模型，用于有选择的局部分割或全局分割，欢迎下载！-Published Graph cuts based active the contour the model with selective local or global a segmentation attached source, the active contour model based on graph cuts for selected local partition or global segmentation are welcome to download! Platform: |
Size: 342016 |
Author:郑强 |
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Description: 基于点的全局阈值法，即最大类间方差法，并基于Matlab软件环境进行算法的仿真。该系统能够对图像中某些感兴趣的部分进行提取，较好地实现了图像分割-Point-based global threshold method, the Otsu method, the simulation of the algorithm based on Matlab software environment. The system is able to extract some interesting part of the image, to better achieve the image segmentation Platform: |
Size: 122880 |
Author:吴东庭 |
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Description: 一维最大熵，最大类间差，迭代法，全局直方图，四种阈值分割算法MATLAB实现-One-dimensional maximum entropy, the largest class of poor, iterative method, global histogram, four threshold segmentation algorithm based on MATLAB realization Platform: |
Size: 205824 |
Author:王大锤 |
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Description: 主要包括常见的几种图像分割方法，包括全局阈值法、最小误差法、大律法、区域生长法、分水岭方法、分裂-合并方法-ncluding several common image segmentation methods, including global threshold, the minimum error method, large law, region growing, watershed method, split- consolidation method Platform: |
Size: 6144 |
Author:刘新蕾 |
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Description: 数字图像分割，基于全局阈值的分割方法，分割图像的matlab实现示例-Digital image segmentation, the segmentation method based on global threshold and image segmentation of matlab implementation examples Platform: |
Size: 216064 |
Author:gao |
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