从摄像头获得图片并存储变化大的图片

#include <windows.h>#include <time.h>#include <opencv2\opencv.hpp>#include <cv.h>#include <highgui.h>using namespace cv;#pragma   comment(lib,   "winmm.lib ")#pragma comment(lib,"opencv_core244d.lib")#pragma comment(lib,"opencv_highgui244d.lib")int diffPics(Mat frame_src1, Mat frame_src2, int i_threshold, Mat& m_dst); //将两图片相减并阈值分割bool isDiff(Mat m_src1, Mat m_src2, int i_threshold, long l_total);//调用diffPics，判断分割后的图像是否差异很大Mat g_diffPics;int main(int argc,char** argv){SYSTEMTIME sys;//time_t the_time;namedWindow("capture", 1);namedWindow("diff", 1);VideoCapture cap(0);if(!cap.isOpened()) return -1;Mat frame1;Mat frame2;static char filename[40];static char filename2[45];cap >> frame2;frame1 = frame2.clone();imshow("capture", frame1);imshow("diff", frame1);while( 1 ){cap >> frame2;imshow("capture", frame2);if(isDiff(frame1, frame2, 20, 5000))                                     {//(void) time(&the_time);//tm tm_ptr = *localtime(&the_time);GetLocalTime(&sys);sprintf(filename,"%04d%02d%02d%02d%02d%02d%03d.jpg", sys.wYear, sys.wMonth, sys.wDay, sys.wHour, sys.wMinute, sys.wSecond, sys.wMilliseconds/*tm_ptr.tm_year-100+2000,tm_ptr.tm_mon + 1, tm_ptr.tm_mday,  tm_ptr.tm_hour,tm_ptr.tm_min, tm_ptr.tm_sec8*/);sprintf(filename2,"diff_%04d%02d%02d%02d%02d%02d%03d.jpg", sys.wYear, sys.wMonth, sys.wDay, sys.wHour, sys.wMinute, sys.wSecond, sys.wMilliseconds /*"diff_%04d%02d%02d%02d%02d%03d.jpg", tm_ptr.tm_year-100+2000,tm_ptr.tm_mon + 1, tm_ptr.tm_mday,  tm_ptr.tm_hour,tm_ptr.tm_min, tm_ptr.tm_sec*/);imshow("diff", frame2);imwrite(filename, frame2);imwrite(filename2, g_diffPics);frame1 = frame2.clone();}if(waitKey(2)>=0) break;}destroyWindow("capture");destroyWindow("diff");return 0;}int diffPics(Mat frame_src1, Mat frame_src2, int i_threshold, Mat& m_dst){m_dst.create(frame_src1.size(), CV_8UC1);//Mat m_threshold = Mat::ones(frame_src1.rows,frame_src1.cols,CV_8UC1)*i_threshold;Mat tem = abs(frame_src1 - frame_src2);cvtColor(tem, m_dst,  CV_RGB2GRAY);//m_dst = (m_dst - m_threshold);threshold(m_dst, m_dst, i_threshold, 255, THRESH_TOZERO);namedWindow("diffPics", 1);imshow("diffPics", m_dst);//destroyWindow("diffPics");return 0;}bool isDiff(Mat m_src1, Mat m_src2, int i_thresh, long l_total){bool flag;long total= 0;diffPics(m_src1, m_src2, i_thresh, g_diffPics);for(unsigned int i = 0;i<g_diffPics.rows; i++)for(unsigned int j = 0;j<g_diffPics.cols; j++)//for (unsigned int n = 0;n < temp.channels(); n++){if (g_diffPics.at<uchar>(i, j)>0)total += 1;}//sum += temp.at<uchar>(i,j*temp.channels()+n);   //取得像素或者赋值//if (sum > (307200*60))//flag = true;//else//flag = false;if ( total > l_total)flag = true;elseflag = false;return flag;}