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有向图的强连通分量算法的java语言实现，-directed graph algorithms strongly connected component of java language.
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Strongly Connected Component Library to obtaion strongly connected components of a graph, for PC platforms writeen in Visual C-Strongly Connected Component Library to obtaion strongly connected components of a graph, for PC platforms writeen in Visua
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connected component using OpenCV
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这个函数获取二进制图像，然后根据图像中标记目标的连接性和每个连接组成的像素数量来判断是否是噪声。 -The function to get the binary image, then image tag target connectivity and the number of pixels of each connected component to determine whether it is noise.
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数字图像处理利用形态学进行连通分量提取法程序-Digital image processing using morphological connected component extraction process
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performs connected component labeling and removes noises by using size filter.
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Find out strongly connected component of a directed graph in c
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实现形态学的阈值分割，可得到分割后的阈值图像，形态学图像，L的直方图，最大连通成分提取图像以及最后得出的结果图像。-Achieve morphological thresholding, the threshold obtained after image segmentation, image morphology, L histogram, the largest connected component extraction result image and the final image.
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This contained BG/FG detection(simple version and adaptive background mixture models), blob tracking(connected component tracking and MSPF resolver, mean shift, particle filter), Kalman filter using OpenCV. It can be helpful who studying object detec
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这是一个使用vc++实现的图像连通区域标记算法，可以找出二值化图像的连通域个数。-This is achieved using vc++ image connected component labeling algorithm can find the binary image of the number of connected domains.
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将图像中的连通域部分分别提取出来，但是输出的时候不能连续输出，我用的是最繁琐的方法-The the connected domain part of the image were extracted, but the output is not continuous output, I used the most tedious method
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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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对于数字图像连通区域标记的一种方法，简便快捷-A method of digital image connected component labeling, quick and easy
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提取一幅图像中的最大连通分量，即物体的最大外边缘-extract connected component
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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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The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used
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这里包括2015年论文利用游程集合的标号传播实现快速连通域标记的论文原文和源代码，有作者本人提供，检测二值图像的连通域，我们认为速度比其他算法快得多。-Fast Connected component labeling
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Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labele
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求取图像的最大连通域，像素点，及连通分量中心-Obtaining an image of the largest connected domain, pixels, and connected component center
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别人写的物体连通域计算的verilog 源代码(Object connected domain calculation of the Verilog source code)
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