opencv2实现10张图像上下左右拼接融合_opencv 特征匹配 上下融合

在前面的“ opencv2两张图像拼接融合_基于SURF特征提取”博文中，实现了两张左右图像的拼接融合，后来我也实现了多张图像的拼接融合。但是opencv2自带一种函数，直接就实现了图像的上下左右拼接。具体程序如下：

#include <iostream>
#include<vector>
#include <fstream>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/stitching/stitcher.hpp"
 
using namespace std;
using namespace cv;
 
bool try_use_gpu = false;
vector<Mat> imgs;
string result_name = "result.jpg";
int main(int argc, char* argv[])
//int _tmain(int argc, _TCHAR* argv[])
{
 // 读取图像
 /*Mat img1 = imread("img1.jpg");
 Mat img2 = imread("img2.jpg");
 Mat img3 = imread("img3.jpg");*/
 
 Mat image11= imread("1.jpg");
	Mat image22= imread("2.jpg");
	Mat image33= imread("3.jpg");
	Mat image44= imread("4.jpg");
	Mat image55= imread("5.jpg");
	Mat image66= imread("6.jpg");
	Mat image77= imread("7.jpg");
	Mat image88= imread("8.jpg");
	Mat image99= imread("9.jpg");
	Mat image1010= imread("10.jpg");
	if (!image11.data || !image22.data|| !image33.data|| !image44.data|| !image55.data
		|| !image66.data|| !image77.data|| !image88.data|| !image99.data|| !image1010.data
		)
		return 0; 
 
 
	因为老师给的图像太大，先处理下。处理后的图像存放在imagei中。
	 
	Mat image1;
	Mat image2;
	Mat image3;
	Mat image4;
	Mat image5;
	Mat image6;
	Mat image7;
	Mat image8;
	Mat image9;
	Mat image10;
	resize(image11,image1,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image22,image2,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image33,image3,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image44,image4,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image55,image5,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image66,image6,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image77,image7,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image88,image8,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image99,image9,Size(400,300),0,0,CV_INTER_LINEAR); 
	resize(image1010,image10,Size(400,300),0,0,CV_INTER_LINEAR); 
 
 
 
 imgs.push_back(image1);
 imgs.push_back(image2);
 imgs.push_back(image3);
 imgs.push_back(image4);
 imgs.push_back(image5);
 imgs.push_back(image6);
 imgs.push_back(image7);
 imgs.push_back(image8);
 imgs.push_back(image9);
 imgs.push_back(image10);
 
 
 // 调用createDefault函数生成默认的参数
 Stitcher stitcher = Stitcher::createDefault(try_use_gpu);
 
 // 使用stitch函数进行拼接
 Mat pano;
 Stitcher::Status status = stitcher.stitch(imgs, pano);
 
 // 保存结果图像
 imwrite(result_name, pano);
 
 // 显示源图像，和结果图像
 
 imshow("全景图像", pano);
 
 waitKey(0);
 return 0;
}