UVC预览+曝光滑动调节+Canny阈值调节+圆心打点2

//---------------------------------【头文件、命名空间包含部分】---------------------------- // 描述：包含程序所使用的头文件和命名空间 //----------------------------------------------------------------------------------------- #include <opencv2\opencv.hpp> using namespace cv; using namespace std; #define WINDOW_NAME1 "【原始图窗口】" //为窗口标题定义的宏 #define WINDOW_NAME2 "【LED轨迹图】" //为窗口标题定义的宏 //----------------------------------------------------------------------------------------- // 全局变量 //----------------------------------------------------------------------------------------- //从摄像头读入视频 VideoCapture capture; //计算帧率 double time0; //曝光值 int exposure = -10; //作为绘制圆心点的画布 Mat drawing; //用于存储摄像头的每一帧图像 Mat g_srcImage; //用于存储灰度化处理后的图像 Mat g_grayImage; //用于存储canny算法的结果 Mat g_cannyMat_output; //canny阈值和最大值 int g_nThresh = 80; int g_nThresh_max = 255; //轮廓向量集 vector< vector<Point> > g_vContours; vector<Vec4i> g_vHierarchy; //----------------------------------------------------------------------------------------- // 局部函数声明 //----------------------------------------------------------------------------------------- //曝光值变化回调函数 void onExposureChange(int pos, void* userdata); //canny阈值变化回调函数 void onThreshChange(int, void* ); //鼠标回调函数 void onMouseCallback(int event, int x, int y, int flags, void* userdata); //-----------------------------------【main( )函数】-------------------------------------------- // 描述：控制台应用程序的入口函数，我们的程序从这里开始 //---------------------------------------------------------------------------------------------- int main( ) { Point2f prev_center; //上一次计算出来的中心点 Point2f center; //当前计算的中心点 float radius = 0; //最小包围圆的半径 bool first_detect = true; //当前摄像头的分辨率最大就是640x480 drawing = Mat( Size(640, 480), CV_8UC3, Scalar(255, 255, 255)); Scalar color = Scalar(0, 0, 255 ); //红色 //先加载一张图片，以灰度模式加载 g_srcImage = imread("1.jpg", 0); if (g_srcImage.empty()) { return -1; } // 创建窗口 namedWindow( WINDOW_NAME1, CV_WINDOW_AUTOSIZE ); namedWindow( WINDOW_NAME2, CV_WINDOW_AUTOSIZE ); imshow( WINDOW_NAME1, g_srcImage ); imshow( WINDOW_NAME2, g_srcImage ); //显示当前帧 waitKey(1000); //打开摄像头 capture.open(0); if(false == capture.isOpened()) { return -1; } //设置曝光值 capture.set(CV_CAP_PROP_EXPOSURE, exposure); exposure = capture.get(CV_CAP_PROP_EXPOSURE); //显示曝光值 cout << ">设置后: 曝光值= " << exposure << endl; double width = capture.get(CV_CAP_PROP_FRAME_WIDTH); double height = capture.get(CV_CAP_PROP_FRAME_HEIGHT); //显示尺寸 cout << ">宽：= " << width << "; 高: =" << height << endl; exposure = 50 - exposure; createTrackbar("曝光值", WINDOW_NAME1, &exposure, 100, onExposureChange); onExposureChange(0, 0); createTrackbar( "canny阈值", WINDOW_NAME2, &g_nThresh, g_nThresh_max, onThreshChange ); onThreshChange( 0, 0 ); //鼠标回调函数——双击清空图片 setMouseCallback(WINDOW_NAME2, onMouseCallback); //循环处理每一帧 while(1) { time0 = static_cast<double>(getTickCount( ));//记录起始时间 capture >> g_srcImage; //读取当前帧 //若视频播放完成，退出循环 if (g_srcImage.empty()) { break; } imshow(WINDOW_NAME1, g_srcImage); //显示当前帧 //====================获取LED圆心====================== // 转成灰度并模糊化降噪 cvtColor( g_srcImage, g_grayImage, CV_BGR2GRAY ); blur( g_grayImage, g_grayImage, Size(3,3) ); // 用Canny算子检测边缘 Canny( g_grayImage, g_cannyMat_output, g_nThresh, g_nThresh*2, 3 ); // 寻找轮廓 findContours( g_cannyMat_output, g_vContours, g_vHierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) ); // 绘出轮廓或圆心 //for( int i = 0; i < g_vContours.size(); i++ ) if(g_vContours.size() > 0) { //先只考虑对第一个轮廓 //对给定的 2D 点集，寻找最小面积的包围圆 minEnclosingCircle(Mat(g_vContours[0]), center, radius); if(true == first_detect) { prev_center = center; first_detect = false; } //用当前的圆心和前一次检测的圆心画线 line(drawing, center, prev_center, color, 1, CV_AA); //保存当前的圆心，下次用 prev_center = center; } // 显示效果图 imshow( WINDOW_NAME2, drawing ); //显示帧率 cout << ">帧率= " << getTickFrequency() / (getTickCount() - time0) << endl; char c = (char)waitKey(10); if( c == 27 ) break; } return 0; } //将Mat中的每个元素设置为某个数值 void setMatInt(Mat & input_image, uchar val) { //行数 int rows = input_image.rows; //列数x通道数=每一行的元素个数 int cols = input_image.cols * input_image.channels(); for(int i = 0; i< rows; i++) { uchar *pdata = input_image.ptr<uchar>(i); for(int j = 0; j < cols; j++) { pdata[j] = val; } } } //曝光值变化回调函数 void onExposureChange(int pos, void* userdata) { exposure = 50 - exposure; //设置曝光值 capture.set(CV_CAP_PROP_EXPOSURE, exposure); } void onThreshChange(int, void* ) { ; } //鼠标回调函数 void onMouseCallback(int event, int x, int y, int flags, void* userdata) { if(event == EVENT_LBUTTONDBLCLK) { setMatInt(drawing, 255); } }