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20110301151907
- ：为解决现有视频监控系统中目标检测算法无法应付复杂的室外环境且计算量和存储量较大等问题，将像素从RGB 空间转换到YUV 空间建立基于码本的背景模型，并单独对每个码字中的亮度分量进行高斯建模，提取运动目标的轮廓后，用连通区域算法对图像进行形态 学处理。典型测试序列和ROC 数据的对比实验结果证明该算法是高效和实用的，且易于在DSP 或FPGA 等嵌入式系统上实时实现。-】In order to solve the problems that the existing motion det
The-polygon-filling-experiment
- 对多边形进行填充，对于不规则图形可以通过图像处理连通后再进行填充，从而准确提取运动目标并实时跟踪。-For filling to the polygon, to irregular graphics can be connected through the image processing again filled, and accurate extract the moving object and real-time tracking.
liantongbiaoji
- 图像处理方面，用VC++实现的连通区域标记的程序。-Image processing, with VC++ implementation of the procedures connected region markers.
Literature
- 此文献是图像处理中车牌识别的连通域算法，该算法是基于等价对的。-This literature is connected domain algorithm of license plate recognition in image processing, the algorithm is based on equivalence.
DSPLIT
- 完成图像中连通区域的周长，面积测量,连通区域的标记，用到8连通-measuring the length and area
marker_identify_test0316
- 基于连通域搜索的目标识别算法 可以完成图像中连通域搜索和重心计算-target identification algorithm based on region searching
expand
- 通过递归实现对图像四邻域的膨胀，并统计膨胀后连通域的个数-Through the recursive realize to the image of the neighbourhood domain expansion, and statistical expansion of number of connected domain
quyuliantong
- 寻找图像中的连通区域，逐块寻找得到连同区域并用不同灰度标记。-Find the connected region, block by block to find together with the area and marked with different gray-scale image
tuxiangbiaoji
- 在二值图像中，相互联结的黑像素的集合成为一个(黑)区域。本程序通过对图像内每个区域进行标记操作，求得区域的数目。 采用8连通判别算法。 从左到右，从上到下，依次检测每个像素，如果发现某像素点像素值为0，则依次检测该点的右上、正上、左上及左前点共四个点的像素值，判断他们的连通性。-Value of the two images, connected black pixels set to become a regional ( black ). The procedures of im
RegionGrow
- 对二值图像，利用区域生长算法实现连通区域的标记-For binary image， using the region growing algorithm to achieve the mark of connected regions
M_segmentation_tree
- 分割树的实现（1.4版本） ============================================== 这个软件包包含MATLAB实现了低层次多尺度 [1]中描述的分层分割算法。 介绍 ------------ 低级别的图像分割的目标是检测到的所有图像区域 不论其形状，大小和内部同质化的水平。在这里， 地区被建模为一个斜坡边缘包围的像素连通集 这些不连续的幅度较大相比，连续性 区域内的变化。-Segmentatio
label
- 在matlab开发环境中，对于图像采用贴便签算法识别出不同连通域后，对该图像的不同连通域索引不同的颜色，显示出标签的效果！-In the Matlab development environment for the images posted notes algorithm to identify different connected domains, the different colors of the image connected domain index, showing the e
opencvMontionCount
- 用Opencv实现的视频处理中前景二值图像中连通区域个数的统计，需要再Visual C++6.0下配置opencv1.0才能运行-Opencv realize the video processing statistics of the number of connected regions in binary image of the prospects, the need to Visual C++ 6.0 to configure opencv1.0 to run
HW1
- 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
find-connection
- VC6.0中对于bmp图像做去噪处理，寻找连通域方法-find connection
cvBlob
- 获取图像的连通区域，并进行标定在opencv下运行-Access to the connectivity of the image area, and the calibration run opencv under
connectionSplit
- 图像处理，对图像文件的文字和图形进行分割，采用连通域与投影相结合的方法，效果比较好。-It accomplishes the work of splitting characters and graph, using the connection algorithm.
DFStraverse2
- matlab实现的DFS算法，可以计算二值图像的连通区域的数目和各个区域的像素数-matlab implementation of the DFS algorithm can calculate the number of binary image of connected regions and across regions, the number of pixels
matlabAnalyzingImages
- matlab图像处理工具箱自带的针对大米图片进行背景均衡、对比度增强、二值化、连通区域获取、面积计算的实现过程，基于matlab的函数实现。-Matlab Image Processing Toolbox comes with rice picture background equalization, contrast enhancement, binarization, connected region to obtain the area of the imple
labe_forOpencv
- 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.