i want to loop over my images that saved on my working folder and apply in all of them a converter to gray and then to equalized. I have the code but just for one image and I want it for 50 images.
Here is the code:

include "opencv2/core/core.hpp"

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include <iostream>

using namespace cv; using namespace std;

int main() {

Mat image;
image = imread("user2-6.jpg", CV_LOAD_IMAGE_COLOR);

if (!image.data)
{
    cout << "Could not open or find the image" << std::endl;
    return -1;
}

// Create a new matrix to hold the gray image
Mat gray;

// convert RGB image to gray
cvtColor(image, gray, CV_BGR2GRAY);

namedWindow("Display window", CV_WINDOW_AUTOSIZE);
imshow("Display window", image);

namedWindow("Result window", CV_WINDOW_AUTOSIZE);
imshow("Result window", gray);


Mat img = imread("user2-6.jpg", CV_LOAD_IMAGE_COLOR); //open and read the image

if (img.empty())
{
    cout << "Image cannot be loaded..!!" << endl;
    return -1;
}

cvtColor(img, img, CV_BGR2GRAY); //change the color image to grayscale image

Mat img_hist_equalized;
equalizeHist(img, img_hist_equalized); //equalize the histogram

//create windows
namedWindow("Original Image", CV_WINDOW_AUTOSIZE);
namedWindow("Histogram Equalized", CV_WINDOW_AUTOSIZE);

//show the image
imshow("Original Image", img);
imshow("Histogram Equalized", img_hist_equalized);

waitKey(0); //wait for key press

destroyAllWindows(); //destroy all open windows

return 0;

}

i want to loop over my images that saved on my working folder and apply in all of them a converter to gray and then to equalized. I have the code but just for one image and I want it for 50 images.
Here is the code:

#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

using namespace cv;
using namespace std;
 
std;
int main()
{
 
{
Mat image;
 image = imread("user2-6.jpg", CV_LOAD_IMAGE_COLOR);
 if (!image.data)
 {
  cout << "Could not open or find the image" << std::endl;
 return -1;
 }
 // Create a new matrix to hold the gray image
 Mat gray;
 // convert RGB image to gray
 cvtColor(image, gray, CV_BGR2GRAY);
 namedWindow("Display window", CV_WINDOW_AUTOSIZE);
 imshow("Display window", image);
 namedWindow("Result window", CV_WINDOW_AUTOSIZE);
 imshow("Result window", gray);
 Mat img = imread("user2-6.jpg", CV_LOAD_IMAGE_COLOR); //open and read the image
 if (img.empty())
 {
  cout << "Image cannot be loaded..!!" << endl;
 return -1;
 }
 cvtColor(img, img, CV_BGR2GRAY); //change the color image to grayscale image
 Mat img_hist_equalized;
 equalizeHist(img, img_hist_equalized); //equalize the histogram
 //create windows
 namedWindow("Original Image", CV_WINDOW_AUTOSIZE);
 namedWindow("Histogram Equalized", CV_WINDOW_AUTOSIZE);
 //show the image
 imshow("Original Image", img);
 imshow("Histogram Equalized", img_hist_equalized);
 waitKey(0); //wait for key press
 destroyAllWindows(); //destroy all open windows
 return 0;
}
  
}