opencv qt实现多张图片全景拼接源码

以下是使用OpenCV和Qt实现多张图片全景拼接的示例代码：

#include <opencv2/opencv.hpp>
#include <QImage>
#include <QPixmap>
#include <QFileDialog>
#include <QMessageBox>

using namespace cv;

void stitchImages(const std::vector<Mat>& images, Mat& result)
{
    // Create a Stitcher object
    cv::Ptr<Stitcher> stitcher = Stitcher::create(Stitcher::PANORAMA);

    // Stitch the images
    Stitcher::Status status = stitcher->stitch(images, result);

    if (status != Stitcher::OK)
    {
        QMessageBox::warning(nullptr, "Error", "Failed to stitch images!");
    }
}

QImage matToQImage(const cv::Mat& mat)
{
    if (mat.type() == CV_8UC1)
    {
        // Grayscale image
        return QImage(mat.data, mat.cols, mat.rows, static_cast<int>(mat.step), QImage::Format_Grayscale8);
    }
    else if (mat.type() == CV_8UC3)
    {
        // Color image
        cv::Mat rgbMat;
        cv::cvtColor(mat, rgbMat, cv::COLOR_BGR2RGB);
        return QImage(rgbMat.data, rgbMat.cols, rgbMat.rows, static_cast<int>(rgbMat.step), QImage::Format_RGB888);
    }
    else
    {
        QMessageBox::warning(nullptr, "Error", "Unknown image type!");
        return QImage();
    }
}

int main(int argc, char** argv)
{
    // Read the input images
    QStringList fileNames = QFileDialog::getOpenFileNames(nullptr, "Select Images", ".", "Images (*.png *.jpg *.jpeg)");

    if (fileNames.isEmpty())
    {
        return 0;
    }

    std::vector<cv::Mat> images;

    for (const auto& fileName : fileNames)
    {
        cv::Mat image = cv::imread(fileName.toStdString());

        if (image.empty())
        {
            QMessageBox::warning(nullptr, "Error", "Failed to read image!");
            return 0;
        }

        images.push_back(image);
    }

    // Stitch the images
    cv::Mat result;
    stitchImages(images, result);

    // Convert the result to a QImage and display it
    QImage resultImage = matToQImage(result);

    if (resultImage.isNull())
    {
        QMessageBox::warning(nullptr, "Error", "Failed to convert image!");
        return 0;
    }

    QPixmap pixmap = QPixmap::fromImage(resultImage);
    QLabel label;
    label.setPixmap(pixmap);
    label.show();

    return QApplication(argc, argv).exec();
}

这个示例代码首先使用Qt的文件对话框选择输入图像，然后使用OpenCV的 `Stitcher` 类将所有图像拼接成一个全景图像。最后，将结果转换为 `QImage` 并使用 `QLabel` 显示。