qt怎么用opencv将图像显示为荧光效果

您可以使用 OpenCV 的颜色空间转换函数将图像转换为 HSV 颜色空间。然后可以调整图像的亮度和饱和度，以进一步增强荧光效果。最后，您可以将图像转换回 BGR 颜色空间，然后使用 Qt 的 QImage 和 QPainter 类来绘制图像并在应用程序中显示它们。以下是一些示例代码：

#include <opencv2/opencv.hpp>
#include <QImage>
#include <QPainter>

using namespace cv;

// Function to convert OpenCV Mat to QImage
QImage matToQImage(const Mat& mat)
{
    // Convert the color format to RGB
    Mat temp;
    cvtColor(mat, temp, COLOR_BGR2RGB);
    
    // Create a QImage from the OpenCV Mat data
    QImage qImage(temp.data, temp.cols, temp.rows, temp.step, QImage::Format_RGB888);
    qImage.bits(); // Force deep copy of data
    
    return qImage;
}

// Function to convert QImage to OpenCV Mat
Mat qImageToMat(const QImage& qImage)
{
    Mat mat(qImage.height(), qImage.width(), CV_8UC4, (uchar*)qImage.bits(), qImage.bytesPerLine());
    cvtColor(mat, mat, COLOR_BGRA2BGR);
    
    return mat;
}

// Function to apply fluorescent effect to an image
Mat applyFluorescentEffect(const Mat& src)
{
    Mat hsv;
    cvtColor(src, hsv, COLOR_BGR2HSV);
    
    // Increase brightness and saturation to enhance the fluorescent effect
    hsv.convertTo(hsv, -1, 1.5, 1.5);

    Mat result;
    cvtColor(hsv, result, COLOR_HSV2BGR);
    
    return result;
}

int main()
{
    // Load an image using OpenCV
    Mat src = imread("path/to/image.jpg");
    
    // Apply the fluorescent effect
    Mat fluorescentImg = applyFluorescentEffect(src);

    // Convert the OpenCV Mat to QImage
    QImage qImage = matToQImage(fluorescentImg);
    
    // Create a QPixmap from the QImage for display in a QLabel
    QPixmap pixmap = QPixmap::fromImage(qImage);
    
    // Display the QPixmap in a QLabel
    QLabel label;
    label.setPixmap(pixmap);
    label.show();
    
    return 0;
}