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);
}