I am working with opencv 2.48 and visual studio 2010. I would like to find the highest intensity of the image moving the camera back and fourth. Could you please give me an advise? Here is my code:

include <opencv2\core\core.hpp>

include <opencv2\highgui\highgui.hpp>

include <opencv2\opencv.hpp>

include <opencv2\imgproc\imgproc.hpp>

include <iostream>

using namespace cv; using namespace std;

int main(){ VideoCapture cap(0); cap.open(0); if (false) { return -1; }

namedWindow("wind1", 0);

cap.set(CV_CAP_PROP_FRAME_WIDTH, 3840);
cap.set(CV_CAP_PROP_FRAME_HEIGHT, 2748);
cap.set(CV_CAP_PROP_FPS, 30.00);
cap.set(CV_CAP_PROP_POS_MSEC, 300);

int width = cap.get(CV_CAP_PROP_FRAME_WIDTH);
int height = cap.get(CV_CAP_PROP_FRAME_HEIGHT);
double fps = cap.get(CV_CAP_PROP_FPS);
    IplImage* videoFrame = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);

    cout << "W" << width << "FPS" << fps << endl;

    Mat frame, gray;
    while(1)
   {

cap.read(frame);
if (!frame.data) break;
cvtColor(frame, gray, COLOR_BGR2GRAY);
threshold(frame, gray, 100,255,CV_THRESH_BINARY_INV);

imshow("wind1", gray);
    int key = cvWaitKey(10);
if (key == 27) break;
    cout << "imshow" << endl;

}
return 0;

}

I am working with opencv 2.48 and visual studio 2010. I would like to find the highest intensity of the image moving the camera back and fourth. Could you please give me an advise? Here is my code:

#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\opencv.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <iostream>

using namespace cv;
using namespace std;
 
std;

int main(){
    VideoCapture cap(0);
    cap.open(0);
    if (false)
    {
        return -1;
    }
 
}

    namedWindow("wind1", 0);

 cap.set(CV_CAP_PROP_FRAME_WIDTH, 3840);
 cap.set(CV_CAP_PROP_FRAME_HEIGHT, 2748);
 cap.set(CV_CAP_PROP_FPS, 30.00);
 cap.set(CV_CAP_PROP_POS_MSEC, 300);

 int width = cap.get(CV_CAP_PROP_FRAME_WIDTH);
 int height = cap.get(CV_CAP_PROP_FRAME_HEIGHT);
 double fps = cap.get(CV_CAP_PROP_FPS);
     IplImage* videoFrame = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);

     cout << "W" << width << "FPS" << fps << endl;

     Mat frame, gray;
     while(1)
    {

 cap.read(frame);
 if (!frame.data) break;
 cvtColor(frame, gray, COLOR_BGR2GRAY);
 threshold(frame, gray, 100,255,CV_THRESH_BINARY_INV);

 imshow("wind1", gray);
     int key = cvWaitKey(10);
 if (key == 27) break;
     cout << "imshow" << endl;

 }
 return 0;
}
  
}