samples/cpp/stitching.cpp

图像拼接的基本示例

 
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/stitching.hpp"
 
#include <iostream>
 
using namespace std;
using namespace cv;
 
bool divide_images = false;
Stitcher::Mode mode = Stitcher::PANORAMA;
vector<Mat> imgs;
string result_name = "result.jpg";
 
void printUsage(char** argv);
int parseCmdArgs(int argc, char** argv);
 
int main(int argc, char* argv[])
{
    int retval = parseCmdArgs(argc, argv);
    if (retval) return EXIT_FAILURE;
 
    Mat pano;
    Ptr<Stitcher> stitcher = Stitcher::create(mode);
    Stitcher::Status status = stitcher->stitch(imgs, pano);
 
    if (status != Stitcher::OK)
    {
cout << "无法拼接图像，错误代码 = " << int(status) << endl;
        return EXIT_FAILURE;
    }
 
imwrite(result_name, pano);
cout << "拼接完成\n" << result_name << " 已保存!";
    return EXIT_SUCCESS;
}
 
 
void printUsage(char** argv)
{
cout <<
         "图像拼接器。\n\n" << "使用方法：\n" << argv[0] <<" [标志] img1 img2 [...imgN]\n\n"
         "标志：\n"
         " --d3\n"
         " 内部将每个图像创建三个块以提高拼接成功率\n"
         " --mode (panorama|scans)\n"
         " 确定拼接器的配置。默认为 'panorama'，\n"
         " 此模式适用于创建照片全景图。'scans' 选项适用于\n"
         " 拼接仿射变换下的材料，例如扫描件。\n"
         " --output <result_img>\n"
         " 默认为 'result.jpg'。\n\n"
         "示例用法：\n" << argv[0] << " --d3 --mode scans img1.jpg img2.jpg\n";
}
 
 
int parseCmdArgs(int argc, char** argv)
{
    if (argc == 1)
    {
printUsage(argv);
        return EXIT_FAILURE;
    }
 
    for (int i = 1; i < argc; ++i)
    {
        if (string(argv[i]) == "--help" || string(argv[i]) == "/?")
        {
printUsage(argv);
            return EXIT_FAILURE;
        }
        else if (string(argv[i]) == "--d3")
        {
divide_images = true;
        }
        else if (string(argv[i]) == "--output")
        {
result_name = argv[i + 1];
i++;
        }
        else if (string(argv[i]) == "--mode")
        {
            if (string(argv[i + 1]) == "panorama")
mode = Stitcher::PANORAMA;
            else if (string(argv[i + 1]) == "scans")
mode = Stitcher::SCANS;
            else
            {
cout << "--mode 标志值无效\n";
                return EXIT_FAILURE;
            }
i++;
        }
        else
        {
            Mat img = imread(samples::findFile(argv[i]));
            if (img.empty())
            {
cout << "无法读取图像 '" << argv[i] << "'\n";
                return EXIT_FAILURE;
            }
 
            if (divide_images)
            {
                Rect rect(0, 0, img.cols / 2, img.rows);
imgs.push_back(img(rect).clone());
rect.x = img.cols / 3;
imgs.push_back(img(rect).clone());
rect.x = img.cols / 2;
imgs.push_back(img(rect).clone());
            }
            else
imgs.push_back(img);
        }
    }
    return EXIT_SUCCESS;
}