Opencv convex Hull (convex bag)

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace Std;
using namespace CV;

Mat img1, Img2, IMG3, Img4, Img_result, Img_gray1, Img_gray2, Img_gray3, img_canny1;

Char win1[] = "Window1";
Char win2[] = "Window2";
Char win3[] = "WINDOW3";
Char win4[] = "WINDOW4";
Char win5[] = "WINDOW5";

int thread_value = 100;
int max_value = 255;
RNG rng1 (12345);

int Demo_convex_hull ();
void Demo_1 (int, void*);

Discover Convex hull
int Demo_convex_hull ()
{
Namedwindow (Win1, cv_window_autosize);
Namedwindow (win2, cv_window_autosize);
Namedwindow (Win3, cv_window_autosize);

IMG1 = Imread ("d://images//1//temp2.jpg");
Img2 = Imread ("d://images//1//p5_1.jpg");
if (Img1.empty ())
{
cout << "Could not load image ..." << Endl;
return 0;
}

Imshow (Win1, IMG1);
IMG4 = Mat::zeros (Img1.size (), CV_8UC3);

Turn Gray Chart
Cvtcolor (IMG1, Img_gray1, Cv_bgr2gray);
Blur processing
Blur (Img_gray1, Img2, Size (3, 3), point ( -1,-1), border_default);

Createtrackbar ("track", Win1, &thread_value, Max_value, demo_1);
Demo_1 (0,0);

return 0;
}

void Demo_1 (int,void*)
{
Vector<vector<point>> vec_p;
Vector<vec4i> vec_4i;

Threshold (Img2, IMG3, Thread_value, Max_value, thresh_binary);
Findcontours (IMG3, vec_p, vec_4i, Retr_tree, Chain_approx_simple, point (0, 0));

Vector<vector<point>> Convexs (Vec_p.size ());
For (size_t i=0;i<vec_p.size (); i++)
{
Convexhull (Vec_p[i], convexs[i], false, true);
}

For (size_t j=0;j<vec_p.size (); j + +)
{
Scalar color_1 = scalar (rng1.uniform (0,255), rng1.uniform (0, 255), Rng1.uniform (0, 255));
Drawcontours (Img4, Vec_p, J, color_1, 2, Line_8, vec_4i, 0, point (0, 0));
Drawcontours (Img4, Convexs, J, color_1, 2, Line_8, vec_4i, 0, point (0, 0));
}
Imshow (WIN2,IMG4);
}

int main ()
{
Demo_convex_hull ();

Waitkey (0);
return 0;
}

Opencv convex Hull (convex bag)