opencv实践程序7——混合高斯算法

来源：互联网发布：决战萨斯城知乎编辑：程序博客网时间：2024/06/05 09:58
//2.0教材代码#include <iostream>#include <cv.h>#include <highgui.h>#include "cvaux.h" using namespace std;using namespace cv;int main( int argc, char** argv ){VideoCapture cap(0);  if(!cap.isOpened())return 0;Mat frame,foreground;     namedWindow("提取的前景",CV_WINDOW_AUTOSIZE); BackgroundSubtractorMOG mog;bool stop(false);while(!stop)     {   if(!cap.read(frame))break;mog(frame,foreground,0.09);//更新背景并返回前景threshold(foreground,foreground,128,255,THRESH_BINARY_INV);        imshow("原视频", frame);        imshow("提取的前景", foreground);          if(waitKey(10) >= 0) stop=true;  }   return 0;}/*//中文网站的代码#include <stdio.h>  #include <cv.h>  #include <cxcore.h>  #include <highgui.h>  #include <cvaux.h>//必须引此头文件  int main( int argc, char** argv )  {  IplImage* pFrame = NULL;    IplImage* pFrImg = NULL;  IplImage* pBkImg = NULL;    CvCapture* pCapture = cvCaptureFromAVI("2.avi");    int nFrmNum = 0;  cvNamedWindow("video", 1);  cvNamedWindow("background",1);  cvNamedWindow("foreground",1);   cvMoveWindow("video", 30, 0);  cvMoveWindow("background", 360, 0);  cvMoveWindow("foreground", 690, 0);  //初始化高斯混合模型参数  CvGaussBGModel* bg_model=NULL;  while(pFrame = cvQueryFrame( pCapture ))    {     nFrmNum++;           if(nFrmNum == 1)    {     pBkImg = cvCreateImage(cvSize(pFrame->width, pFrame->height),  IPL_DEPTH_8U,3);    pFrImg = cvCreateImage(cvSize(pFrame->width, pFrame->height),  IPL_DEPTH_8U,1);     //高斯背景建模，pFrame可以是多通道图像也可以是单通道图像  //cvCreateGaussianBGModel函数返回值为 CvBGStatModel*，  //需要强制转换成CvGaussBGModel*  bg_model = (CvGaussBGModel*)cvCreateGaussianBGModel(pFrame, 0);  }     else  {     //更新高斯模型  cvUpdateBGStatModel(pFrame, (CvBGStatModel *)bg_model );  //pFrImg为前景图像，只能为单通道  //pBkImg为背景图像，可以为单通道或与pFrame通道数相同  cvCopy(bg_model->foreground,pFrImg,0);  cvCopy(bg_model->background,pBkImg,0);  //把图像正过来  pBkImg->origin=1;  pFrImg->origin=1;  cvShowImage("video", pFrame);     cvShowImage("background", pBkImg);     cvShowImage("foreground", pFrImg);        if( cvWaitKey(2) >= 0 )       break;     }     }  //释放高斯模型参数占用内存     cvReleaseBGStatModel((CvBGStatModel**)&bg_model);  cvDestroyWindow("video");  cvDestroyWindow("background");  cvDestroyWindow("foreground");    cvReleaseImage(&pFrImg);  cvReleaseImage(&pBkImg);    cvReleaseCapture(&pCapture);    return 0;  } */
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