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Description: 用Floyd算法设计的最小费用最大流，求最大流时，用的是标号算法-Floyd algorithm design with the minimum cost maximum flow, for maximum flow, the algorithm is labeling
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Author: 杨 |
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Description: MATLAB真正强有力的地方在于它的数值处理能力。然而，经常希望操作文本，例如把标号和标题放在图上。在MATLAB里，文本当作特征字符串或简单地当作字符串。-MATLAB real strong point is its numerical processing capability. Often, however, hope that the operation of the text, such as labeling and the title on the map. MATLAB, as a text string or a feature simply as a string.
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Author: jojo |
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Description: MCRGSA------组播路由问题遗传模拟退火算法
％M-----------遗传算法进化代数
％N-----------种群规模，取偶数
％Pm----------变异概率调节参数
％K-----------同一温度下状态跳转次数
％t0----------初始温度
％alpha-------降温系数
％beta--------浓度均衡系数
％ROUTES------备选路径集
％Num---------到各节点的备选路径数目
％Cost--------费用邻接矩阵
％Source------源节点标号
％End---------目的节点标号组成的向量
％MBR---------各代最优路径编码-MCRGSA------ Multicast Routing genetic simulated annealing% M----------- genetic algorithm algebra% N----------- population size, even take Pm----------% probability parameter variation%----------- same temperature K Jump under a number of state----------% t0 initial temperature cooling% alpha------- beta coefficient%-------- balanced concentration coefficient% ROUTES------ Alternative Path Set% Enable--------- nodes to the number of alternative paths%-------- Cost adjacent costs Matrix% Source------ source node labeling% End--------- destination node labeling Group Vector%% of the MBR--------- generations optimal path coding
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Author: 程爱华 |
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Description: 以rice．tif为图像实例，介绍用形态学方法对灰度图像进行处理与分析的技术要点，即对灰度图像进
行如下操作：去除图像的不均匀背景；用设置阈值的方法(thresholding)将结果图像转换成二值图像；通过成分标记(components labeling)返回图像中的目标对象属性，并计算目标对象的统计数字特征。-to rice. Tif images for example, introduces the morphology of gray image processing and analysis techniques, that the gray image proceed as follows : Removal of uneven background image; by setting the threshold value method (thresholding) will be converted into images results binary image; through the composition tags (components labeling) to image targets attribute, and calculate the statistics target characteristics.
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Author: 何子鸣 |
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Description: 解决图论中Warshall-Floyd 算法，Kruskal 避圈法，匈牙利算法，求最佳匹配的算法，求最大流的Ford--Fulkerson 标号算法，求解最小费用流问题的matlab程序-Solve the graph theory Warshall-Floyd algorithm, Kruskal avoid lap law, Hungary algorithm, and the best matching algorithm, for maximum flow of the Ford- Fulkerson labeling algorithm for solving the minimum cost flow problem of matlab procedures
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Author: yangfei |
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Description: VC6环境下的二值图像的连通域标记程序，程序中中文注释详细-VC6 environment connectivity binary image labeling procedures, the procedures detailed in the Chinese Notes
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Description: BP算法
给定一个由N维向量X组成的集合，这些向量将是一个响应agent的感知处理单元计算出的特征向量。这些分量的值可以是数值，也可以是布尔值。这些动作也许是学习者所观察到的一个教师对一组输入的响应。这些相关的动作有时称为向量的“标号”或“类别”。集合与响应的标号组成“训练集合(training set)”.机器学习问题就是寻找一个函数。-BP algorithm given by the N-dimensional vector X composed of a collection, these vectors will be a response to the perceived agent processing unit eigenvector calculated. These components can be numerical values may also be a boolean value. These movements may be observed by the learner, a teacher of a group of input response. These related actions are sometimes referred to as Vector s labeling or category. Collection with the label in response to form a training set (training set) . Machine learning problem is to find a function.
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Author: 张志丹 |
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Description: 八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling
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Size: 2048 |
Author: zhangjing |
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Description: 在matlab环境下，对图像中的单个目标进行标号-In the matlab environment, the image of a single target labeling
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Author: 王渝 |
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Description: Simple image 2-pass labeling algorithm, included warshall algorithm to fill the equivalent matrix.
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Size: 3072 |
Author: pawci0 |
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Description: 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing.
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Author: mayan |
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Description: 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 -Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing
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Author: 秦陈刚 |
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Description: it is a image processing project which can find special and certain object with certain shapes in the images. it obtain the P and S for each object and compare P/S ratio to template image and object.
Sobel use for P and finding edges and Labeling algorithm use for S.
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Size: 11264 |
Author: Mohammadali |
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Description: This package contains some MatLab tools for multi-scale image
processing. Briefly, the tools include:
- Recursive multi-scale image decompositions (pyramids), including
Laplacian pyramids, QMFs, Wavelets, and steerable pyramids. These
operate on 1D or 2D signals of arbitrary dimension. Data
structures are compatible with the MatLab wavelet toolbox.
- Fast 2D convolution routines, with subsampling and boundary-handling.
- Fast point-operations, histograms, histogram-matching.
- Fast synthetic image generation: sine gratings, zone plates, fractals, etc.
- Display routines for images and pyramids. These include several
auto-scaling options, rounding to integer zoom factors to avoid
resampling artifacts, and useful labeling (dimensions and gray-range).
-This package contains some MatLab tools for multi-scale image
processing. Briefly, the tools include:
- Recursive multi-scale image decompositions (pyramids), including
Laplacian pyramids, QMFs, Wavelets, and steerable pyramids. These
operate on 1D or 2D signals of arbitrary dimension. Data
structures are compatible with the MatLab wavelet toolbox.
- Fast 2D convolution routines, with subsampling and boundary-handling.
- Fast point-operations, histograms, histogram-matching.
- Fast synthetic image generation: sine gratings, zone plates, fractals, etc.
- Display routines for images and pyramids. These include several
auto-scaling options, rounding to integer zoom factors to avoid
resampling artifacts, and useful labeling (dimensions and gray-range).
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Author: not applicable |
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Description: 图论算法及其MATLAB 程序代码
1.求赋权图G = (V, E , F )中任意两点间的最短路的Warshall-Floyd 算法、Kruskal 避圈法
2.求二部图G 的最大匹配的算法(匈牙利算法)、利用可行点标记求最佳匹配的算法
3.从一个可行流f 开始, 求最大流的Ford--Fulkerson 标号算法
6.-Graph Theory Algorithm and MATLAB program code 1. Seeking weighted graph G = (V, E, F) in the shortest path between any two points of the Warshall-Floyd algorithm, Kruskal avoid the circle method 2. Seeking the maximum bipartite graph G matching algorithm (the Hungarian algorithm), using feasible point mark seeking the best match algorithm 3. a feasible flow f from the beginning, find the maximum flow of the Ford- Fulkerson Labeling Algorithm 6.
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Size: 47104 |
Author: 肖翔 |
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Description: 本程序应用了取两次阈值、基于特征的逻辑、二值形态学和相连成分的标识，确定了钢的显微图像中颗粒的边界，标识了不同的颗粒。-This procedure applies to take the two threshold values, based on characteristics of logic, binary morphology and connected component labeling, to determine the microstructure of steel grain boundaries of the image, identifies the different particles.
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Size: 64512 |
Author: zhaofei |
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Description: floyd算法的matlab程序
floyd-最短路问题
输入：
B-邻接矩阵(bij)，指i到j之间的距离，可以是有向的。
sp- 起点标号。
ep- 终点标号。
输出：
d- 最短路的距离。
path-最短路的路径。-floyd algorithm matlab program floyd-shortest path problem Input: B-adjacency matrix (bij), refers to the distance between i to j, can be directed to. Sp-starting label. Ep-end labeling. Output: d-shortest distance. Path-shortest path.
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Author: 陆明巧 |
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Description: Image Region Labeling Software
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Size: 16384 |
Author: utrade1 |
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Description: performs connected component labeling and removes noises by using size filter.
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Size: 89088 |
Author: rick |
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Description: 有两种方法可以向脚本节点中输入 MATLAB脚本。
( 1)使用 Operating 或Labeling 工具直接向MATLAB 脚本节点中输入脚本
（2）可以直接导入写好了的脚本 ,方法是使用鼠标右健单击 MATLAB 脚本节点,从快捷菜单中选Import,从打开的 Choose a script 选择脚本对话框中选择要导入的文件并单击 Open, MATLAB 脚本文本将出现在脚本节点中。为了便于调试 ,建议在导入脚本到 LabVIEW 之前 ,先在 MATLAB 环境内编写并运行。
-Continuous and discrete systems. The system that all its variables are continuous functions of time is called continuous-variable or analog system the describing equations are differential equations.
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Author: ruansz |
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