#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <iostream>
using namespace std;
using namespace cv;
 
int main()
{
 ///讀入圖像/
 ///image1
 //cv::Mat image::zeros(768,1300);
 Mat image1;
 image1= cv::imread("1.jpg");
 if(!image1.data)
 {
  cout<<"image does not exist"<<endl;
 }
 namedWindow("Image1");//定義窗口
 imshow("Image1",image1);//顯示圖像
 ///image2
 Mat image2;
 image2= cv::imread("2.jpg");
 if(!image2.data)
 {
  cout<<"image does not exist"<<endl;
 }
 namedWindow("Image2");
 imshow("Image2", image2);
 //image3
 Mat image3;
 image3= cv::imread("3.jpg");
 if(!image3.data)
 {
  cout<<"image does not exist"<<endl;
 }
 cv::namedWindow("Image3");
 cv::imshow("Image3", image3);
 
 ///定義生成圖像/
 cv::Mat combine = cv::Mat::zeros( 700, 1300,image1.type());
 //cout<<image.type()<<endl;   我擦那個(gè)哈士奇竟然是16
 // define ROI
 Mat imageROI1= combine(Rect(0,0,500,700));
 Mat imageROI2= combine(Rect(500,0,800,350));
 Mat imageROI3= combine(Rect(500,350,800,350));
 //DEBUG
 //std::cout<<combine.cols<<" "<<combine.rows<<endl; 
 
 //圖像直接拷貝的方式~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~••
 image1(cv::Rect( 0, 0, 500, 700)).copyTo(imageROI1);
 image2(cv::Rect( 0, 0, 800, 350)).copyTo(imageROI2);
 image3(cv::Rect( 0, 0, 800, 350)).copyTo(imageROI3);
 
 
 //通過(guò)看到數(shù)值來(lái)驗(yàn)證是否是這個(gè)地方出錯(cuò)
 //std::cout<<combine(cv::Rect(0, 0, 3, 3))<<std::endl;
 
 
 //最終效果顯示~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 namedWindow("Combined Image");
 imshow("Combined Image", combine);
 
 
 
 ///另外一種方式/
 /
 //那么我們使用另外一種方式，就是resize的方式來(lái)搞下這個(gè)東西，恩，讓所有的圖像都搞到這里面
 
 ///!!!建議用等比縮放然后獲得出現(xiàn)的黑框
 
 resize(image1, imageROI1, imageROI1.size(),INTER_CUBIC);
 resize(image2, imageROI2, imageROI2.size(),INTER_CUBIC);
 resize(image3, imageROI3, imageROI3.size(),INTER_CUBIC);
 
 namedWindow("Combined Image++");
 imshow("Combined Image++", combine);
 
 waitKey(0);
 
}