基于帧间差分法进行升级的三帧差分法,不同的测试视频可以设置不同二值化阈值来增强效果。
根据实际情况进行形态学处理。
- #include
- #include
- #include
-
- #define threshold_diff1 25 //设置简单帧差法阈值
- #define threshold_diff2 25 //设置简单帧差法阈值
-
- using namespace cv;
- using namespace std;
-
- int main(int argc,unsigned char* argv[])
- {
- Mat img_src1,img_src2,img_src3;
- Mat img_dst,gray1,gray2,gray3;
- Mat gray_diff1,gray_diff2;
- Mat gray_diff11,gray_diff12;
- Mat gray_diff21,gray_diff22;
- Mat gray;
- bool pause=false;
-
- VideoCapture vido_file("test3.avi");
- namedWindow("foreground",0);
- for (;;)
- {
- if(!false)
- {
- vido_file >>img_src1;
- cvtColor(img_src1,gray1,CV_BGR2GRAY);
-
- waitKey(33);
- vido_file >>img_src2;
- cvtColor(img_src2,gray2,CV_BGR2GRAY);
- imshow("video_src",img_src2);
-
- waitKey(33);
- vido_file >>img_src3;
- cvtColor(img_src3,gray3,CV_BGR2GRAY);
-
- Sobel(gray1,gray1, CV_8U,1,0,3,0.4,128);
- Sobel(gray2,gray2, CV_8U,1,0,3,0.4,128);
- Sobel(gray3,gray3, CV_8U,1,0,3,0.4,128);
-
- subtract(gray2,gray1,gray_diff11);
- subtract(gray1,gray2,gray_diff12);
- add(gray_diff11,gray_diff12,gray_diff1);
- subtract(gray3,gray2,gray_diff21);
- subtract(gray2,gray3,gray_diff22);
- add(gray_diff21,gray_diff22,gray_diff2);
-
- for(int i=0;i
- for(int j=0;j
- {
- if(abs(gray_diff1.atchar>(i,j))>=threshold_diff1)
- gray_diff1.atchar>(i,j)=255;
- else gray_diff1.atchar>(i,j)=0;
-
- if(abs(gray_diff2.atchar>(i,j))>=threshold_diff2)
- gray_diff2.atchar>(i,j)=255;
- else gray_diff2.atchar>(i,j)=0;
- }
- bitwise_and(gray_diff1,gray_diff2,gray);
-
- dilate(gray,gray,Mat());erode(gray,gray,Mat());
-
- imshow("foreground",gray);
- }
- if( cvWaitKey(33) >= 0 )
- break;
- }
- return 0;
- }
#include
#include
#include
#define threshold_diff1 25 //设置简单帧差法阈值
#define threshold_diff2 25 //设置简单帧差法阈值
using namespace cv;
using namespace std;
int main(int argc,unsigned char* argv[])
{
Mat img_src1,img_src2,img_src3;//3帧法需要3帧图片
Mat img_dst,gray1,gray2,gray3;
Mat gray_diff1,gray_diff2;//存储2次相减的图片
Mat gray_diff11,gray_diff12;
Mat gray_diff21,gray_diff22;
Mat gray;//用来显示前景的
bool pause=false;
VideoCapture vido_file("test3.avi");//在这里改相应的文件名
namedWindow("foreground",0);
for (;;)
{
if(!false)
{
vido_file >>img_src1;
cvtColor(img_src1,gray1,CV_BGR2GRAY);
waitKey(33);
vido_file >>img_src2;
cvtColor(img_src2,gray2,CV_BGR2GRAY);
imshow("video_src",img_src2);//
waitKey(33);
vido_file >>img_src3;
cvtColor(img_src3,gray3,CV_BGR2GRAY);
Sobel(gray1,gray1, CV_8U,1,0,3,0.4,128);
Sobel(gray2,gray2, CV_8U,1,0,3,0.4,128);
Sobel(gray3,gray3, CV_8U,1,0,3,0.4,128);
subtract(gray2,gray1,gray_diff11);//第二帧减第一帧
subtract(gray1,gray2,gray_diff12);
add(gray_diff11,gray_diff12,gray_diff1);
subtract(gray3,gray2,gray_diff21);//第三帧减第二帧
subtract(gray2,gray3,gray_diff22);
add(gray_diff21,gray_diff22,gray_diff2);
for(int i=0;i(i,j))>=threshold_diff1)//这里模板参数一定要用unsigned char,否则就一直报错
gray_diff1.at(i,j)=255; //第一次相减阈值处理
else gray_diff1.at(i,j)=0;
if(abs(gray_diff2.at(i,j))>=threshold_diff2)//第二次相减阈值处理
gray_diff2.at(i,j)=255;
else gray_diff2.at(i,j)=0;
}
bitwise_and(gray_diff1,gray_diff2,gray);
dilate(gray,gray,Mat());erode(gray,gray,Mat());
imshow("foreground",gray);
}
if( cvWaitKey(33) >= 0 )
break;
}
return 0;
}