opencv图像遮掩及移动区域像素占比

#include "opencv2/opencv.hpp"#include "opencv2/video/background_segm.hpp"using namespace cv;using namespace std;int main(){VideoCapture capture;capture.open(0);int frameNum = 1;Mat frame, mask, thresholdImage, output;if (!capture.isOpened())cout << "fail to open!" << endl;capture >> frame;Ptr<BackgroundSubtractorMOG2> bgsubtractor = createBackgroundSubtractorMOG2();bgsubtractor->setVarThreshold(20);while (true) {capture >> frame;++frameNum;// 视频遮挡//cv::Mat logo = cv::imread("mark.bmp");Mat logo(400, 300, CV_8UC3, Scalar(0, 0, 255));cv::Mat imageROI;int x = (frame.cols - logo.cols)/2;int y = frame.rows - logo.rows;imageROI = frame(cv::Rect(x, y, logo.cols, logo.rows));logo.copyTo(imageROI);cv::namedWindow("result");cv::imshow("result", frame);// 背景建模法提取前景mask//bgSubtractor(frame, mask, 0.001);bgsubtractor->apply(frame, mask, -1);// 计算黑白二值前景的非黑像素占比int nTotalPixel = 0;int nWhitePixel = 0;Mat_<uchar>::iterator it = mask.begin<uchar>();Mat_<uchar>::iterator itend = mask.end<uchar>();for (; it != itend; ++it){nTotalPixel++;if ((*it)>0) nWhitePixel += 1;//二值化后，像素点是0或者255  }float fPercent = (nWhitePixel / (float)nTotalPixel) * 100;// 在图片中显示结果char text[64] = { 0 };sprintf(text, "%d/%d=%.4f", nWhitePixel, nTotalPixel, fPercent);cv::putText(mask, text, cv::Point(50, 60), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255, 23, 0), 2, 4);imshow("mask", mask);waitKey(10);}return 0;}