opencv——同一窗口显示多幅图像

#include<iostream>#include<opencv2/imgproc/imgproc.hpp>#include<opencv2/highgui/highgui.hpp>using namespace cv;using namespace std;void imshowMany(const string winName, const vector<Mat>imgs);//定义一个函数用于多图像显示int main(){        vector<Mat> imgs(3);//相当于matlab中的subplot        imgs[0] = imread("1.jpg");        Mat gray;        cvtColor(imgs[0],gray, CV_RGB2GRAY);        //namedWindow("gray", WINDOW_NORMAL);//用户可以改变窗口的大小        imshow("gray", gray);        imwrite("3.jpg", gray, vector<int>());//写入图像        imgs[1] = imread("3.jpg");        Mat hsv;        cvtColor(imgs[0], hsv, CV_RGB2HSV);        imwrite("4.jpg", hsv, vector<int>());//写入图像        imgs[2] = imread("4.jpg");        //imgs[1] = imread("2.jpg");        //imgs[2] = imread("F:\\SA.jpg");        //imgs[3] = imread("F:\\SA.jpg");        imshowMany("Multiple Images", imgs);//调用函数    waitKey(0);    return 0;}void imshowMany(const string winName, const vector<Mat>imgs){    int nImg = (int)imgs.size();//imgs个数    Mat dispImg;    int size;    int x, y;    int w, h;//每行最多显示w张图片,每列最多显示h张图片    float scale;// scale - How much we have to resize the image     int max;        if (nImg <= 0)    {        printf("Number of arguments too small....\n");        return;    }    else if (nImg > 12)    {        printf("Number of arguments too large....\n");        return;    }   //最多显示12副图    else if (nImg == 1)    {        w = h = 1;        size = 300;    }//一行一列    else if (nImg == 2)    {        w = 2; h = 1;        size = 300;    }//一行两列    else if (nImg == 3 || nImg == 4)    {        w = 2; h = 2;        size = 300;    }//两行两列    else if (nImg == 5 || nImg == 6)    {        w = 3; h = 2;        size = 200;    }//两行三列    else if (nImg == 7 || nImg == 8)    {        w = 4; h = 2;        size = 200;    }//两行四列    else    {        w = 4; h = 3;        size = 150;    }//三行四列    dispImg.create(Size(80+size*w, 60+size*h), CV_8UC3);//创建一个新的三通道的窗口    for (int i = 0, m = 20, n = 20; i<nImg; i++, m += (20 + size))//m,n为坐标点，20为每幅图间距    {        x = imgs[i].cols;        y = imgs[i].rows;        max = (x > y) ? x : y;        scale = (float)((float)max / size);//获取第i幅图像与规定size的比例        if (i%w == 0 && m != 20)        {            m = 20;            n += 20 + size;        }        Mat imgROI = dispImg(Rect(m, n, (int)(x / scale), (int)(y / scale)));//选取感兴趣区域        resize(imgs[i], imgROI, Size((int)(x / scale), (int)(y / scale)));//图像缩放    }    //namedWindow(winName);    imshow(winName, dispImg);}