根据拼接方向的不同，分为concat()和hconcat()

    1. #include <opencv2\opencv.hpp>
    2. #include <iostream>
    4. using namespace std;
    5. using namespace cv;
    7. int main()
    8. {
    9.     //矩阵数组的横竖连接
    10.     Mat matArray[] = { Mat(1, 2, CV_32FC1, cv::Scalar(1)),
    11.         Mat(1, 2, CV_32FC1, cv::Scalar(2)) };
    12.     Mat vout, hout;
    13.     vconcat(matArray, 2, vout);
    14.     cout << "图像数组竖向连接：" << endl << vout << endl;
    15.     hconcat(matArray, 2, hout);
    16.     cout << "图像数组横向连接：" << endl << hout << endl;
    18.     //矩阵的横竖拼接
    19.     Mat A = (cv::Mat_<float>(2, 2) << 1, 7, 2, 8);
    20.     Mat B = (cv::Mat_<float>(2, 2) << 4, 10, 5, 11);
    21.     Mat vC, hC;
    22.     vconcat(A, B, vC);
    23.     cout << "多个图像竖向连接：" << endl << vC << endl;
    24.     hconcat(A, B, hC);
    25.     cout << "多个图像横向连接：" << endl << hC << endl;
    27.     //读取4个子图像，00表示左上角、01表示右上角、10表示左下角、11表示右下角
    28.     Mat img00 = imread("lena00.png");
    29.     Mat img01 = imread("lena01.png");
    30.     Mat img10 = imread("lena10.png");
    31.     Mat img11 = imread("lena11.png");
    32.     if (img00.empty() || img01.empty() || img10.empty() || img11.empty())
    33.     {
    34.         cout << "请确认图像文件名称是否正确" << endl;
    35.         return -1;
    36.     }
    37.     //显示4个子图像
    38.     imshow("img00", img00);
    39.     imshow("img01", img01);
    40.     imshow("img10", img10);
    41.     imshow("img11", img11);
    43.     //图像连接
    44.     Mat img, img0, img1;
    45.     //图像横向连接
    46.     hconcat(img00, img01, img0);
    47.     hconcat(img10, img11, img1);
    48.     //横向连接结果再进行竖向连接
    49.     vconcat(img0, img1, img);
    51.     //显示连接图像的结果
    52.     imshow("img0", img0);
    53.     imshow("img1", img1);
    54.     imshow("img", img);
    55.     waitKey(0);
    56.     return 0;
    57. }