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  • QImage与cv::Mat互相转换-包括32F图像转换

    cv::Mat转QImage(拷贝转换)

    QImage cvMat2QImage(const cv::Mat& mat) 
    {
        if (mat.empty())
        {
            return QImage();
        }
        QImage image;
        switch (mat.type())
        {
        case CV_8UC1:
        {
            image = QImage((const uchar*)(mat.data),
                mat.cols, mat.rows, mat.step,
                QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_8UC2:
        {
            mat.convertTo(mat, CV_8UC1);
            image = QImage((const uchar*)(mat.data),
                mat.cols, mat.rows, mat.step,
                QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_8UC3:
        {
            // Copy input Mat
            const uchar *pSrc = (const uchar*)mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        case CV_8UC4:
        {
            // Copy input Mat
            const uchar *pSrc = (const uchar*)mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32);
            return image.copy();
        }
        case CV_32FC1:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_32FC3:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX,-1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        case CV_64FC1:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_64FC3:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        case CV_32SC1:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_32SC3:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        case CV_16SC1:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_16SC3:
        {
            Mat normalize_mat;
            normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            normalize_mat.convertTo(normalize_mat, CV_8U);
            const uchar *pSrc = (const uchar*)normalize_mat.data;
            // Create QImage with same dimensions as input Mat
            QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        case CV_8SC1:
        {
            //Mat normalize_mat;
            //normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
            mat.convertTo(mat, CV_8U);
            const uchar *pSrc = (const uchar*)mat.data;
            QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_Grayscale8);
            return image.copy();
        }
        case CV_8SC3:
        {
            mat.convertTo(mat, CV_8U);
            const uchar *pSrc = (const uchar*)mat.data;
            QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
        }
        default:
            mat.convertTo(mat, CV_8UC3);
            QImage image((const uchar*)mat.data, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
            return image.rgbSwapped();
            return QImage();
            break;
        }
    }

    QImage转cv::Mat(共享内存的转换)

    cv::Mat QImage2cvMat(QImage& image)
    {
        cv::Mat mat;
        //qDebug() << image.format();
        switch (image.format())
        {
        case QImage::Format_ARGB32:
            mat = cv::Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine());
            break;
        case QImage::Format_RGB32:
            mat = cv::Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine());
            //cv::cvtColor(mat, mat, CV_BGR2RGB);
            break;
        case QImage::Format_ARGB32_Premultiplied:
            mat = cv::Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine());
            break;
        case QImage::Format_RGB888:
            mat = cv::Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine());
            //cv::cvtColor(mat, mat, CV_BGR2RGB);
            break;
        case QImage::Format_Indexed8:
            mat = cv::Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine());
            break;
        case QImage::Format_Grayscale8:
            mat = cv::Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine());
            break;
        }
        return mat;
    }
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  • 原文地址:https://www.cnblogs.com/zzzsj/p/14790455.html
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