// 创建一个空矩阵
cv::Mat image1;// 创建一个6行6列的8位1通道的矩阵
cv::Mat image2(6, 6, CV_8UC1);// 创建一个7行7列的8位3通道的矩阵
cv::Mat image3(cv::Size(7, 7), CV_8UC3);    cv::Mat image4(8, 8, CV_32FC2, cv::Scalar(1, 3));
cv::Mat image4(10, 8, CV_8UC1, cv::Scalar(5));cv::Mat image5(cv::Size(9, 9), CV_8UC3, cv::Scalar(1, 2, 3));cv::Mat image6(image2);

Mat m(2,2,CV_8UC3);
m.create(3,2,CV_8UC2);

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>using namespace cv;void showManyImages(const std::vector<cv::Mat>& srcImages, cv::Size imgSize)
{int nNumImages = srcImages.size();cv::Size nSizeWindows;if(nNumImages > 12){std::cout << "Not more than 12 images!" << std::endl;return ;}// 根据图片序列数量来确定分割小窗口形态switch(nNumImages){case 1: nSizeWindows = cv::Size(1,1);break;case 2: nSizeWindows = cv::Size(2,1);break;case 3:case 4: nSizeWindows = cv::Size(2,2);break;case 5: case 6: nSizeWindows = cv::Size(3,2);break;case 7:case 8: nSizeWindows = cv::Size(4,2);break;case 9: nSizeWindows = cv::Size(3,3);break;default: nSizeWindows = cv::Size(4,3);break;}// 设置小图像尺寸 间隙 边界int nShowImageSize = 200;int nSplitLineSize = 15;int nAroundLineSize = 50;// 创建输出图像 图像大小根据输入源确定const int imagesHeight = nShowImageSize * nSizeWindows.width + nAroundLineSize + (nSizeWindows.width - 1) * nSplitLineSize;const int imagesWidth = nShowImageSize * nSizeWindows.height + nAroundLineSize + (nSizeWindows.height - 1) * nSplitLineSize;std::cout << imagesWidth << " " << imagesHeight <<std::endl;cv::Mat showWindowImages(imagesWidth, imagesHeight, CV_8UC3, cv::Scalar(0, 0, 0));//提取对应小图像的左上角坐标X Yint posX = (showWindowImages.cols - (nShowImageSize * nSizeWindows.width + (nSizeWindows.width - 1) * nSplitLineSize))/2;int posY = (showWindowImages.rows - (nShowImageSize * nSizeWindows.height + (nSizeWindows.height - 1) * nSplitLineSize)) / 2;std::cout << posX << " " << posY << std::endl;int tempPosX = posX;int tempPosY = posY;// 将每一小幅图像整合成大图像for (int i = 0; i < nNumImages; i++){// 小图像坐标转换if((i % nSizeWindows.width == 0) && (tempPosX != posX)){tempPosX = posX;tempPosY += (nSplitLineSize + nShowImageSize);}// 利用Rect区域将小图像置于大图像相应区域cv::Mat tempImage = showWindowImages(cv::Rect(tempPosX, tempPosY, nShowImageSize, nShowImageSize));//利用resize函数实现图像缩放resize(srcImages[i], tempImage, cv::Size(nShowImageSize, nShowImageSize));tempPosX += (nSplitLineSize + nShowImageSize);}cv::imshow("showWindowImages", showWindowImages);
}int main()
{// 图像源输入std::vector<cv::Mat> srcImages(9);srcImages[0] = cv::imread("a.jpg");srcImages[1] = cv::imread("a.jpg");srcImages[2] = cv::imread("a.jpg");srcImages[3] = cv::imread("a.jpg");srcImages[4] = cv::imread("a.jpg");srcImages[5] = cv::imread("a.jpg");srcImages[6] = cv::imread("a.jpg");srcImages[7] = cv::imread("a.jpg");srcImages[8] = cv::imread("a.jpg");// 判断当前vector读入的正确性for (int i = 0; i < srcImages.size(); i++){if (!srcImages[i].data){std::cout << "read error!" << std::endl;return -1;}}//调用单窗口显示图像showManyImages(srcImages, cv::Size(512, 400));cv::waitKey(0);return 0;
}