背景差法OpenCV实现程序代码

#include "highgui.h"

#include "cv.h"

#include <stdio.h>

#include"例子一.h"

int main(int argc,char**argv)

{

//声明指针，矩阵

IplImage*image=NULL;

IplImage*backimage=NULL;

IplImage*foreimage=NULL;

IplImage*tank=NULL;

CvMat*imagemat=NULL;

CvMat*foremat=NULL;

CvMat*backmat=NULL;

CvCapture*capture=NULL;

int num=0;

//创建窗口

cvNamedWindow("cvcamwindow",CV_WINDOW_AUTOSIZE);

cvNamedWindow("foreground",1);

cvNamedWindow("background",1);

cvNamedWindow("wo",1);

//读取摄像头

       if(argc==1||(argc==2&&strlen(argv[1])==1&&isdigit(argv[1][0])))

              capture=cvCaptureFromCAM(argc==2?argv[1][0]-'0':0);

       else if(argc==2)

              capture=cvCaptureFromAVI(argv[1]);

//声明视频结构

int isColor = 1;

       int frameW=160;

       int frameH=120;

       int fps=8;

   CvVideoWriter* camWriter=cvCreateVideoWriter("E://directx//jianhua12.avi",-1,fps,cvSize(frameW,frameH),isColor);

       if(!capture)

       {

              fprintf(stderr,"could not initialize capturing.../n");

          return 0;

      }

//处理图像

       while(image=cvQueryFrame(capture))

       {

              num++;

              if(num==1)//第一针申请内存

              {

foreimage=cvCreateImage(cvGetSize(image),8,1);

                  backimage=cvCreateImage(cvGetSize(image),8,1);

           tank=cvCreateImage(cvGetSize(image),8,3);

            backmat=cvCreateMat(image->height,image->width,CV_32FC1);

            foremat=cvCreateMat(image->height,image->width,CV_32FC1);

            imagemat=cvCreateMat(image->height,image->width,CV_32FC1);

               //转换成单通道处理

               cvCvtColor(image,backimage,CV_BGR2GRAY);

               cvCvtColor(image,foreimage,CV_BGR2GRAY);

            //矩阵初始化

            cvConvert(foreimage,foremat);

            cvConvert(foreimage,backmat);

            cvConvert(foreimage,imagemat);

          }

              else

              {

                     cvCvtColor(image,foreimage,CV_BGR2GRAY);

                     cvConvert(foreimage,imagemat);

                    //高斯滤波，平滑图像

                     cvSmooth(imagemat,imagemat,CV_GAUSSIAN,3,0,0);

                     //当前跟背景差分

                     cvAbsDiff(imagemat,backmat,foremat);

                     cvConvert(foremat,foreimage);

                    //二值化

                     cvThreshold(foreimage,foreimage,60,255.0,CV_THRESH_BINARY);

                     //进行形态学滤波，去掉噪音

                     cvDilate(foreimage, foreimage, 0, 1);

                    cvErode(foreimage, foreimage, 0, 1);

                     cvErode(foreimage, foreimage, 0, 1);

                     cvDilate(foreimage, foreimage, 0, 1);