在Raspberry pi上调用摄像头，读取视频流中的每一帧，并利用Canny边缘检测，提取每一帧中的边缘，最终效果如下：
ReadVideo.cpp
#include "opencv2/opencv.hpp" using namespace cv; int main(int, char**) { VideoCapture cap(0); // open the default camera if(!cap.isOpened()) // check if we succeeded return -1; Mat edges; namedWindow("edges",1); for(;;) { Mat frame; cap >> frame; // get a new frame from camera cvtColor(frame, edges, CV_BGR2GRAY); GaussianBlur(edges, edges, Size(7,7), 1.5, 1.5); Canny(edges, edges, 0, 30, 3); imshow("edges", edges); if(waitKey(30) >= 0) break; } // the camera will be deinitialized automatically in VideoCapture destructor return 0; }注：代码来自OpenCV官网
CMakeLists.txt
project( ReadVideo ) find_package( OpenCV REQUIRED ) add_executable( ReadVideo ReadVideo ) target_link_libraries( ReadVideo ${OpenCV_LIBS} )编译
cmake . make运行程序 ： ./ReadVideo
