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主要是连通分量提取及实现,通过matlab实现的了在人脸局部图像中定位嘴的中心.-Mainly connected component extraction and realization, through matlab to achieve in the face of local images to locate the center of the mouth.
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强连通分支Kosaraju算法+源码.txt
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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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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Kruskal s algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in
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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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一种新的连通区域标记算法,挺有价值的，值得参考-A new connected component labeling algorithm, quite the value, worth considering
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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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该书介绍了连通域标记的方法，基于递归的连通域标记，方法适用有效-The book is a connected component labeling method, based on recursive connected component labeling, the method is applicable
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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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connected component labeling algorithm
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Sql Connected panel Component
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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 binary image connected component labeling fast algorithm
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HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB-HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB
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