Save repeatedly 5 data and do averaging after 5 frames in video processing

edit

ok let me try to digest and try.. thanks for opening the path! :)

but you only store a single double for each image so that you can't create the mean image. And why do you move the nb++; into the loop?

nb is into the loop because you want five images. If you write it into for() you're not sure to have acquire 5 images into the array if your function is very short in time. I think that you want to use a real camera and not video stream I'm sorry but I have a mistake in reading you question. If you want to make a decision using mean image (5 images) may be you should use a recursive filter (butterworth for example). With recursive filter you have an updated mean value after acquire : Im(t)=Im(t-1)+k*I(t)

"If you write it into for() you're not sure to have acquire 5 images into the array if your function is very short in time." What do you mean by that?

In opencv doc : The methods/functions decode and return the just grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more frames in video file), the methods return false and the functions return NULL pointer. So if you write something like this with a real camera:

captureVideo->retrieve(frame[0]);
captureVideo->retrieve(frame[1]); // frame[1] is empty
captureVideo->retrieve(frame[2]); // frame[2] is empty

but if you write

   captureVideo->retrieve(frame[0]);
    sleep(30); // wait 30ms
    captureVideo->retrieve(frame[1]); // frame should be OK
    sleep(30);
    captureVideo->retrieve(frame[2]);  // frame should be OK

Sorry, I misread you code a bit. Moving the increment inside the check of the return values makes perfekt sense.

Hi FooBar and LBerger, thanks informative for the discussion, anyway, it is not the whole image mean. Currently i'm doing the pixel count --> countNonZero(frame) for each of the images. Then this 5 values from 5 images must be average and use as the result for the last function. so, the above coding can be done?

you can use function calcHist (instead of MyFunction) with a mask and check if h(0] is equal to the mask surface. An another way it's to scan pixel in the mask and stop when a non null pixel is found. May be you should give your code and like this it woul be easier to check

Here is the code ..

while(1) {

    bool bSuccess = cap.read(frame); // read a new frame from video

    if (!bSuccess) //if not success, break loop
    {
                    cout << "Cannot read the frame from video file" << endl;
                    break;
    }

    //do video processing

     //*averaging pixels for 5 frames
     if(count != 5)
     {
         totalpix5 += whitepix;
        cout << "totalpix5 = "<< endl << " "  <<totalpix5<< endl;
        count++;
     }

     if(count == 3)
     {

     if (totalpix5/5 >2500)  
     {
     putText();
     }
     else
        {   
        putText();
        }

        imshow("detected", cdst);    
     count=0;
     totalpix5=0;
     }

waitKey(); return 0; }

May be you can use calcHist with cumulate histogram

        for (;;) 
        {
        hist[0]=Mat::zeros(Size(1,sizes[0]),CV_32F);
        hist[1]=Mat::zeros(Size(1,sizes[0]),CV_32F);
        hist[2]=Mat::zeros(Size(1,sizes[0]),CV_32F);
        for (int nb=0;nb<5;)
            {
            if (capture.retrieve(frame[nb])) 
                {
                cout<<"*******Image "<<nb<<endl;
                int nbc=2;
                if (frame[nb].empty())
                    break;
                imshow(window_name, frame[nb]);
                split( frame[nb], planCouleur );
                for (int i=0;i<frame[nb].channels();i++)
                    {
                    calcHist(&planCouleur[i],1,channels,mask, hist[i], 1, sizes, listRange, true, true);
                    cout<<"Plane "<<i<<"\t"; 
                    for (int j=0;j<sizes[0];j++)
                        cout<<"h["<<j<<"]="<<hist[i].at<float>(j,0)<<"\t";
                    cout<<endl;
                    }
                nb++;
                }
             }
        }