三帧差法运动目标检测代码及注释

      代码及注释仅供参考。

int CallTime = 0;//定义调用次数计数器  IplImage* BackGroundImage;//上一帧灰度图  IplImage* DiffImage_1;//上一帧差分图的二值化图    void ThreeFrmDiff(IplImage* pColorIn)  {      CallTime++;      if(CallTime > 10)//防止溢出      {          CallTime = 10;      }        CvSize ImageSize = cvSize(pColorIn->width,pColorIn->height);      IplImage* GrayImage = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);//当前帧的灰度图      IplImage* GxImage = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);//当前帧的X方向梯度图      IplImage* GyImage = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);//当前帧的Y方向梯度图      IplImage* DiffImage = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);//当前帧的差分图      IplImage* DiffImage_2 = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);//前一帧差分图      IplImage* pyr = cvCreateImage(cvSize((ImageSize.width&-2)/2,(ImageSize.height&-2)/2),8,1); //进行腐蚀去除噪声的中间临时图片        uchar* DiffImageData_2;      DiffImageData_2 = (uchar*)DiffImage_2->imageData;//得到前一帧差分图的数据        int height,width,step;//定义图像的高，宽，步长      int SumInRect = 0;//指定矩形内图像数据之和      int y1, y2, x1, x2;//对运动目标画框时的四个坐标点位置      y1 = 0;      y2 = 0;      x1 = 0;      x2 = 0;        char Kx[9] = {1,0,-1,2,0,-2,1,0,-1};//X方向掩模，用于得到X方向梯度图      char Ky[9] = {1,2,1,0,0,0,-1,-2,-1};//Y方向掩模，用于得到Y方向梯度图      CvMat KX,KY;      KX = cvMat(3,3,CV_8S,Kx);//构建掩模内核      KY = cvMat(3,3,CV_8S,Ky);//构建掩模内核        cvCvtColor(pColorIn,GrayImage,CV_BGR2GRAY);//将当前帧转化为灰度图      cvSmooth(GrayImage,GrayImage,CV_GAUSSIAN,7,7);//进行平滑处理      cvFilter2D(GrayImage,GxImage,&KX,cvPoint(-1,-1));//得到X方向的梯度图      cvFilter2D(GrayImage,GyImage,&KY,cvPoint(-1,-1));//得到Y方向的梯度图      cvAdd(GxImage,GyImage,GrayImage,NULL);//得到梯度图        height = GrayImage->height;      width = GrayImage->width;      step = GrayImage->widthStep;        CvRect rect;//定义矩形框        if(CallTime == 1)//如果是第一帧      {          //对Image_1,BackGroundImage,DiffImage_1进行内存申请          BackGroundImage = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);          DiffImage_1 = cvCreateImage(ImageSize,IPL_DEPTH_8U,1);          cvCopy(GrayImage,BackGroundImage,NULL);//如果是第一帧，设置为背景      }      else      {          cvAbsDiff(GrayImage,BackGroundImage,DiffImage);//得到当前帧的差分图          cvCopy(GrayImage,BackGroundImage,NULL);//将当前帧的梯度图作为下一帧的背景          cvThreshold(DiffImage,DiffImage,15,255,CV_THRESH_BINARY);//二值化当前差分图          if(CallTime > 2)//如果大于等于第三帧          {              cvAnd(DiffImage,DiffImage_1,DiffImage_2);//进行“与”运算，得到前一帧灰度图的“准确”运动目标              char str[256];              memset(str, '\0', 256*sizeof(char));              static int iCount = 0;              sprintf(str, "./img/%d.jpg", iCount++);              cvSaveImage(str, DiffImage_2);          }          cvPyrDown(DiffImage_2,pyr,7);//向下采样          cvErode(pyr,pyr,0,1);//腐蚀，消除小的噪声          cvPyrUp(pyr,DiffImage_2,7);          cvCopy(DiffImage,DiffImage_1,NULL);//备份当前差分图的二值化图      }        cvReleaseImage(&GxImage);      cvReleaseImage(&GyImage);      cvReleaseImage(&GrayImage);      cvReleaseImage(&DiffImage);      cvReleaseImage(&DiffImage_2);         cvReleaseImage(&pyr);  }