搜索资源列表
flood_hls
- 此代码实现了连通区域的标记。利用OpenCV开发环境完成。-This code implements the connected region of the tag. Complete development environment using OpenCV.
HMMDemo
- 基于opencv的HMM人脸识别，可连接摄像头实时拍摄识别！（opencv1.0）-Opencv of HMM-based face recognition, can be connected to real-time camera shot Recognition! (Opencv1.0))
labe_forOpencv
- 利用opencv对二值图像进行连通域标记-Use of binary image opencv connected domain markers
connect
- 使用OPENCV填充连通域，并提取出连通区域的轮廓-OPENCV filled with connected domain, and extract the contour
RingBuffer
- Ring Buffer Implementation A circular buffer or ring buffer is a data structure that uses a single, fixed-size buffer as if it were connected end-to-end. This structure lends itself easily to buffering data streams.-Ring Buffer ImplementationA circ
useopencvopenavifile
- 利用opencv来打开AVI视频并可读出USB连接的摄像头-The use of AVI video opencv to open and read a USB-connected camera
max_area
- 二值化图像，求最大连通区域，然后分割最大连通区域，用opencv开发-Binary image, and the largest regional connectivity, and then split the largest connected region, with the development of opencv
code
- 查找连通分量的个数， 本程序的例子是查找一个图片中细胞的个数。-use openCV to find the number of connected components. This example is to find the number of cells in a picture.
CarCount
- 该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项-The program function is to achieve movement of vehicles on the road statistics. A small module function has t
MFC_OPENCV
- 在MFC中应用OpenCv。可以打开保存图片的基本程序框架。（想正确运行，请确保已装OpenCv并且已经和VC6正确连接）-In the MFC Application OpenCv. You can save the image to open a basic procedural framework. (Think correctly, make sure that has been installed and has OpenCv and VC6 properly connected)
CarCount
- 该代码实现车辆的检测，采用了训练的方式，从视频中提取背景，然后做差分，连通域提取等步骤得道前景。该代码采用OPENCV实现。-The code to achieve vehicle detection, using training methods to extract from the video background, and then do differential, connected components extraction and other steps to attain the
connect
- 对图片以及视频帧进行连通域提取，环境需要opencv vs2005，必要的配置，连通域的算法是基于递归的二值图像标记算法。-Frame of the picture, and video connectivity components extraction, environmental needs opencv vs2005, the necessary configuration, connected components algorithm is based on the recursive
connected_component
- connected component using OpenCV
RemoveBlackConnectedComponents
- 使用opencv去掉二值化图像中黑色面积较小的连通域。 程序中语句 tmparea = fabs(cvContourArea(contour)) 可以得到当前连通域的面积，当此面积小于阈值时对其填充为白色。 rect = cvBoundingRect(contour,0) 得到的是框住连通域的最小矩形，对矩形中的黑色部分将其填充为白色，但是这样的话，连通域6和4两个连通域被填充成了白色的矩形，这显然不符合我们的要求，这样就要判断此连通域是黑色联通域还是白色连通域，采用的方法是测试矩
TrackingBlobAlgorithms
- 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
OpenCV
- 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.
opencv-liantongyu
- opencv实现连通域检测，可以标记处图片中的连通域。-opencv domain for connectivity detection. You can mark pictures connected domain.
opencv-doc
- 图像数据操作（内存分配与释放，图像复制、设定和转换） 图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出） 矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解） 支持多种动态数据结构（链表、队列、数据集、树、图） 基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构） 结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
Edge detection
- 目标检测首先利用统计的方法得到背景模型，并实时地对背景模型进行更新以适应光线变化和场景本身的变化，用形态学方法和检测连通域面积进行后处理，消除噪声和背景扰动带来的影响，在HSV色度空间下检测阴影，得到准确的运动目标。(object detectWe use statistical methods to obtain the background model, and real-time of the background model is updated to adapt to illumina
opencv标记法实现连通区域 (1)
- 采用连通区域算法，实现目标区域的连通标记，有利于目标的分割(The connected domain algorithm, to achieve connectivity marking the target region, is conducive to the target segmentation)