I am working with opencv 2.48 and visual studio 2010. When I add into my code Gaussian filtering and canny edge detection, the time of the image capturing was increased. How can I accelerate this process. If I have to add more functions for image processing and object tracking I thing that the speed for image capturing will be decreased more? I am using uEye camera 1490-M-GL.

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; }

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);

namedWindow("wind1", 0);
namedWindow("wind50", 0);
    IplImage* videoFrame = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);

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

    Mat gray;
    int counter = 0;

    while(1)
    {
   Mat frame; 
   cap.read(frame);

   imshow("wind1", frame);

   if (!frame.data) break;

   cvtColor(frame, gray, COLOR_BGR2GRAY);
   GaussianBlur(gray, gray, Size(7,7), 1.5, 1.5);
       Canny(gray, gray, 0, 30, 3);

   imshow("wind50", gray);
   }
   return 0;

}

I am working with opencv 2.48 and visual studio 2010. When I add into my code Gaussian filtering and canny edge detection, the time of the image capturing was increased. How can I accelerate this process. If I have to add more functions for image processing and object tracking I thing that the speed for image capturing will be decreased more? I am using uEye camera 1490-M-GL.

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;
    }
 
}

    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);

 namedWindow("wind1", 0);
 namedWindow("wind50", 0);
     IplImage* videoFrame = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);

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

     Mat gray;
     int counter = 0;

     while(1)
     {
    Mat frame; 
    cap.read(frame);

    imshow("wind1", frame);

    if (!frame.data) break;

    cvtColor(frame, gray, COLOR_BGR2GRAY);
    GaussianBlur(gray, gray, Size(7,7), 1.5, 1.5);
        Canny(gray, gray, 0, 30, 3);

    imshow("wind50", gray);
    }
    return 0;
}
  
}