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matlab connected component labeling & sizefilter 图像处理模块，用于对图像进行分块消除噪声-matlab sizefilter image processing module is used to eliminate noise
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二值图像区域标记的算法以及源代码、实例介绍-Binary image connected component labeling algorithm as well as code examples introduced
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The Strongly connected component algorithm. This is my exercise of Introduction to Algorithm subject.
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基于区域生长的连通域标记，应包含头文件#include "Afxtempl.h"-Connected component labeling based on region growing
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C语言编写的图像连通域标记函数，对于图像的形态学预处理非常有用。-Image connected component labeling functions written in C language, the morphological preprocessing of the image is very useful.
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code pf mat lab for connected component algo on a binary image.
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Step 1: 二值化一幅图像，结果存为binary.bmp Step 2: 用不同彩色填充连通域（连通分量），结果存为connect.bmp Step 3: 在二值图像中找出轮廓并存储为countour.bmp-Step 1: The binary image of the results are saved as binary.bmp Step 2: fill with a different color connected domain (connected component), and
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VC++实现图像连通区域标记以及根据面积大小进行面积消去-VC++ achieve image connected component labeling and size area elimination
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this program label on image shape : connected component
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该算法可以完成二值图像的连通域标记， 并计算出各连通域的面积。非常的方便好用，本人已经测试。-The algorithm can complete the connected component labeling of binary images, and calculate the area of the connected domain. Very convenient and easy to use, I have tested.
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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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Sql Connected panel Component
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一种最新的连通域标记方法,能够快速进行连通域标记-One of the latest connected component labeling method to quickly connected component labeling
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遍历一遍，判断图分为几部分（假定为P部分，即图有 P 个连通分量）,对于每一个连通分量，如果无环则只能是树，即：边数＝结点数－1,只要有一个满足边数>结点数－1,原图就有环.
-Traverse again, the determination map is divided into several parts (assumed to section P, with P in Figure connected component), for each connected compone
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二值化一幅图像，用不同彩色填充连通域（连通分量），在二值图像中找出轮廓并存储。-Binarized image, communicating with a different fill color field (connected component) to identify the outline of the binary image and stored.
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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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强连通分支Kosaraju算法+源码.txt -Strongly connected component Kosaraj strongly connected branch Kosaraju algorithm+ source code. Txt strongly connected components of Kosaraju algorithm+ source code. Txtu algorithm+ source code. Txt
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本算法使用两种方式实现了连通域分析，二次扫描法和种子填充法。-this algorithm realizes the connected component analysis,including two methods: two pass and seed filling.
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Connected component used to connect the component
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