搜索资源列表
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寻找图像物体的外轮廓，通过Connected component分析实现-Find images of objects outside the contour, through the Connected component analysis to achieve
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connected component labeling
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This program calculates the number of connected components in a graph (Two vertices are in the same connected component of the graph, if there exists a path between these two vertices.
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强连通分量的实现 强连通分量的实现 -Strongly connected component strongly connected component to achieve the realization of strongly connected components to achieve the realization of strongly connected components
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python code to do connected component labeling of the thresholded image
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A rough implementation of "A Component-Labeling Algorithm Using Contour Tracing Technique" paper on an implementation of connected component algorithm using contour tracing, allowing the algorithm to do connected component labelling with just one pas
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this is very simple connected component algo. we can easily understand this algo as well .
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TFlightJoyStick is developed as part of the Aircraft library from Diprode. The question how to use a joystick with Delphi is a regular one. This Freeware Component should provide a total solution for anyone that needs to use a Joystick.
TFlightJ
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建立一个图，实现连通图的，输出一个最大连通图的连通分量-A graph, connectivity graph, the output of one of the largest connected component of graph connectivity
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用VC++编写的求双连通分支的程序，这个程序的算法是《算法引论—一种创造性方法》中的算法-Written by VC++ double-connected component of the program requirements, the program' s algorithm is the " Introduction to Algorithms- A creative approach" in the algorithm
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poj上1112题，综合性较强，先求出补图，再求每个连通分量的两种类别的点数，最后dp-poj on the 1112 title, more integrated, first find the complement, and then find each connected component of the two categories of points, the last dp
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二值图像连通域标记快速算法,能进行区域检测，附代代说明文档，VB开发-Binary image connected component labeling fast algorithm, region detection attached generation documentation, VB developers
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这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are the binary image connected component labeling algorithm including direct scan labeling algorithm and a binary image connected component labeling fast algorithm
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月亮和五毛钱,主要考查了广度优先搜索、强连通分量、缩点、动态拓扑规划等相关知识-Moon and five cents, the main test of breadth-first search, strongly connected component, shrinkage point, dynamic topology planning and other related knowledge
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八邻域实现的连通域标记，可以去除小的区域-Achieve eight neighborhood connected component labeling, you can remove some of the small non-candidate region
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图的强连通部分,给定一个有向图，求改图的强连通部分-the strongly connected component
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Connected component used to connect the component
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Kruskal 算法是一种按照图中边的权值递增的顺序构造最小生成树的方法。其基本思想是：设无向连通网为G＝（V，E），令G 的最小生成树为T，其初态为T＝（V，{}），即开始时，最小生成树T 由图G 中的n 个顶点构成，顶点之间没有一条边，这样T 中各顶点各自构成一个连通分量。然后，按照边的权值由小到大的顺序，考察G 的边集E 中的各条边。若被考察的边的两个顶点属于T 的两个不同的连通分量，则将此边作为最小生成树的边加入到T 中，同时把两个连通分量连接为一个连通分量；若被考察边的两个顶点属于同一
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本资源介绍了一种高效的基于二值图像的连通域标记的算法-The resource based on a two value image connected component labeling algorithm is efficient
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.c++连通区域标记算法2，功能和matlab 中的 bwlabel相似，用opencv 编写-.c++ connected component labeling algorithm 2, function and MATLAB similar to the bwlabel, prepared by opencv
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