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OPENCV1
- 可以找出视频中的元件，从不同角度,采用OPENCV-You can find the video components, from different angles, 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
OPENCV-pcb
- 基于opencv1.0的0805元件对中程序，从摄像头读取图像，进行图像处理后，找到元件的中心点。-Opencv1.0 based on the 0805 program components, read the images from the camera, for image processing, to find the components of the center.
OPENCV2
- 可以找出视频中的元件，采用OPENCV作为DLL算法库-You can find the video components, using the algorithm library as a DLL OPENCV
connected_components.cpp
- Connected components of opencv
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
ChooseColor
- 基于opencv平台，分别提取出一张彩色图片中的不同颜色的分量.-Based the opencv platform, respectively, to extract a color picture of the different color components.
Chapter-07
- Extracting Lines, Contours, and Components
find_connected_components
- 连通域法，将帧间差分或者平均背景法得到的图像进行去除噪声处理，使其得到光滑的图像-find connected components
pinggjunbj
- 此方法是平均背景减除法。主要用于运动目标检测，当然此方法在静止的背景下检测运动目标比较好-Averaging Background Method We’ve just seen a simple method of learning background scenes and segmenting fore- ground objects. It will work well only with scenes that do not contain moving backgro
camera_face_detection
- 基于Opencv+VC6.0的脸部识别。本程序用DirectShow组件，解决了Win7下VC6.0里面不能打开笔记本摄像头的问题，而且自带需要的DLL文件，需要的朋友可以下载。-Opencv+VC6.0 based face recognition. The procedures used DirectShow components to solve the problem which can not be opened VC6.0 under Win7 notebook camera, an
Opencv-check-degree-test
- vc6.0 opencv1.0 电子元件角度识别 初学者必看-vc6.0 opencv1.0 electronic components beginners Watchable angle recognition
col_roberts
- 基于三维彩色空间ColorRoberts算子实现，充分利用了全面的色彩信息，所以进行彩色图像边缘检测的效果优于只分别作用在彩色三分量上的传统彩色边缘检测方法。 法-Based on three-dimensional color space ColorRoberts operator to achieve full use of the full color information, so the color image edge detection is better than the
motion-objects-segmentation
- 此程序演示了一种寻找轮廓，连接组件，清除背景的简单方法，实现跟踪分割视频中运动的物体-This program demonstrates the outline of a Looking to connect components, cleanup simple way of background, the video division for tracking moving objects
connection
- 关于提取连通域的两种方法，一种是基于种子法另外一种是二次扫描法-About extraction of connected components of two methods, one is based on a seed law is another secondary scanning
color
- 编程实现颜色标量量化。输入为24位彩色图像，将RGB分量分别保持头3位、头3位、头2位的值不变，其余各位变为10000、10000和100000，观察处理后的图像的颜色失真情况。注意OpenCV中的RGB分量的存储顺序为BGR。-Programming color scalar quantization. Enter the 24-bit color images, the RGB components respectively held the first three, the first t
ROI
- core组件，访问图像像素，图像混合，ROI，分离颜色通道和多通道图像等-Core components, access to image pixels, image mixing, ROI, separate color channels and multi-channel images, etc.
LXWUQIU
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步(I write the car license plate based on color components of location identification, basically has the following steps)