我想给下面的代码用opencv制作一个界面该怎么做

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

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
    VideoCapture cap(0); //capture the video from web cam
    
    if (!cap.isOpened())  // if not success, exit program
    {
        cout << "Cannot open the web cam" << endl;
        return -1;
    }

    namedWindow("control", 1);
    int ctrl = 0;
    createTrackbar("ctrl", "control", &ctrl, 7);

    while (true)
    {
        Mat imgOriginal;

        bool bSuccess = cap.read(imgOriginal); // read a new frame from video
        if (!bSuccess) //if not success, break loop
        {
            cout << "Cannot read a frame from video stream" << endl;
            break;
        }

        // imgOriginal = imread("4.jpg");

        Mat imgHSV, imgBGR;
        Mat imgThresholded;

        if(0)
        {
            vector<Mat> hsvSplit;   //创建向量容器，存放HSV的三通道数据
            cvtColor(imgOriginal, imgHSV, COLOR_BGR2HSV); //Convert the captured frame from BGR to HSV
            split(imgHSV, hsvSplit);            //分类原图像的HSV三通道
            equalizeHist(hsvSplit[2], hsvSplit[2]);    //对HSV的亮度通道进行直方图均衡
            merge(hsvSplit, imgHSV);                   //合并三种通道
            cvtColor(imgHSV, imgBGR, COLOR_HSV2BGR);    //将HSV空间转回至RGB空间，为接下来的颜色识别做准备
        }
        else
        {
            imgBGR = imgOriginal.clone();
        }



        switch(ctrl)
        {
        case 0:
            {
                inRange(imgBGR, Scalar(128, 0, 0), Scalar(255, 127, 127), imgThresholded); //蓝色
                break;
            }
        case 1:
            {
                inRange(imgBGR, Scalar(128, 128, 128), Scalar(255, 255, 255), imgThresholded); //白色
                break;
            }
        case 2:
            {
                inRange(imgBGR, Scalar(128, 128, 0), Scalar(255, 255, 127), imgThresholded); //靛色
                break;
            }
        case 3:
            {
                inRange(imgBGR, Scalar(128, 0, 128), Scalar(255, 127, 255), imgThresholded); //紫色
                break;
            }
        case 4:
            {
                inRange(imgBGR, Scalar(0, 128, 128), Scalar(127, 255, 255), imgThresholded); //黄色
                break;
            }
        case 5:
            {
                inRange(imgBGR, Scalar(0, 128, 0), Scalar(127, 255, 127), imgThresholded); //绿色
                break;
            }
        case 6:
            {
                inRange(imgBGR, Scalar(0, 0, 128), Scalar(127, 127, 255), imgThresholded); //红色
                break;
            }
        case 7:
            {
                inRange(imgBGR, Scalar(0, 0, 0), Scalar(127, 127, 127), imgThresholded); //黑色
                break;
            }
        }
                                                                        
        imshow("形态学去噪声前", imgThresholded);

        Mat element = getStructuringElement(MORPH_RECT, Size(5, 5));
        morphologyEx(imgThresholded, imgThresholded, MORPH_OPEN, element);
        morphologyEx(imgThresholded, imgThresholded, MORPH_CLOSE, element);

        imshow("Thresholded Image", imgThresholded); //show the thresholded image
        imshow("直方图均衡以后", imgBGR);
        imshow("Original", imgOriginal); //show the original image

        char key = (char)waitKey(300);
        if (key == 27)
            break;
    }

    return 0;

}

现在的情况是之体现了人机交互，但是缺少界面，我想用c直接写出一个界面