我想在qt窗口中显示图像，所以我使用了Qlabel-> setpixmap

但是如何将IPLImage转换为QImage以在标签中显示呢？

我发现下面的函数可以将其转换，但是我不知道如何在调用语句中使用它

QImage *IplImageToQImage(const IplImage * iplImage, uchar **data, double mini, double maxi)
{
    uchar *qImageBuffer = NULL;
    int width = iplImage->width;
    int widthStep = iplImage->widthStep;
    int height = iplImage->height;
    switch (iplImage->depth)
    {
        case IPL_DEPTH_8U:
        if (iplImage->nChannels == 1)
        {
        // OpenCV image is stored with one byte grey pixel. We convert it
       // to an 8 bit depth QImage.
        //

        qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
        uchar *QImagePtr = qImageBuffer;
        const uchar *iplImagePtr = (const uchar *) iplImage->imageData;

        for (int y = 0; y < height; y++)
        {
            // Copy line by line
            memcpy(QImagePtr, iplImagePtr, width);
            QImagePtr += width;
            iplImagePtr += widthStep;
        }

        }
        else if (iplImage->nChannels == 3)
        {
            /* OpenCV image is stored with 3 byte color pixels (3 channels).
            We convert it to a 32 bit depth QImage.
            */
            qImageBuffer = (uchar *) malloc(width*height*4*sizeof(uchar));
            uchar *QImagePtr = qImageBuffer;
            const uchar *iplImagePtr = (const uchar *) iplImage->imageData;
            for (int y = 0; y < height; y++)
            {
                for (int x = 0; x < width; x++)
                {
                    // We cannot help but copy manually.
                    QImagePtr[0] = iplImagePtr[0];
                    QImagePtr[1] = iplImagePtr[1];
                    QImagePtr[2] = iplImagePtr[2];
                    QImagePtr[3] = 0;

                    QImagePtr += 4;
                    iplImagePtr += 3;
                }
            iplImagePtr += widthStep-3*width;
            }

        }
        else
        {
            qDebug("IplImageToQImage: image format is not supported : depth=8U and %d channels\n", iplImage->nChannels);
        }
        break;
        case IPL_DEPTH_16U:
        if (iplImage->nChannels == 1)
        {
        /* OpenCV image is stored with 2 bytes grey pixel. We convert it
        to an 8 bit depth QImage.
        */
            qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
            uchar *QImagePtr = qImageBuffer;
            //const uint16_t *iplImagePtr = (const uint16_t *);
            const unsigned int *iplImagePtr = (const unsigned int *)iplImage->imageData;
            for (int y = 0; y < height; y++)
            {
                for (int x = 0; x < width; x++)
                {
                // We take only the highest part of the 16 bit value. It is
                //similar to dividing by 256.
                *QImagePtr++ = ((*iplImagePtr++) >> 8);
                }
                iplImagePtr += widthStep/sizeof(unsigned int)-width;
            }
        }
        else
        {
            qDebug("IplImageToQImage: image format is not supported : depth=16U and %d channels\n", iplImage->nChannels);

        }
        break;
        case IPL_DEPTH_32F:
         if (iplImage->nChannels == 1)
         {
        /* OpenCV image is stored with float (4 bytes) grey pixel. We
        convert it to an 8 bit depth QImage.
        */
             qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
             uchar *QImagePtr = qImageBuffer;
             const float *iplImagePtr = (const float *) iplImage->imageData;
             for (int y = 0; y < height; y++)
             {
                 for (int x = 0; x < width; x++)
                 {
                     uchar p;
                     float pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);
                     if (pf < 0) p = 0;
                     else if (pf > 255) p = 255;
                     else p = (uchar) pf;

                     *QImagePtr++ = p;
                  }
             iplImagePtr += widthStep/sizeof(float)-width;
             }
         }
         else
         {
             qDebug("IplImageToQImage: image format is not supported : depth=32F and %d channels\n", iplImage->nChannels);
         }
       break;
       case IPL_DEPTH_64F:
         if (iplImage->nChannels == 1)
         {
            /* OpenCV image is stored with double (8 bytes) grey pixel. We
            convert it to an 8 bit depth QImage.
            */
            qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
            uchar *QImagePtr = qImageBuffer;
            const double *iplImagePtr = (const double *) iplImage->imageData;
            for (int y = 0; y < height; y++)
            {
                for (int x = 0; x < width; x++)
                {
                    uchar p;
                    double pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);

                    if (pf < 0) p = 0;
                    else if (pf > 255) p = 255;
                    else p = (uchar) pf;

                    *QImagePtr++ = p;
                }
}

        }
        else
        {
            qDebug("IplImageToQImage: image format is not supported : depth=64F and %d channels\n", iplImage->nChannels);
        }
        break;
        default:
        qDebug("IplImageToQImage: image format is not supported : depth=%d and %d channels\n", iplImage->depth, iplImage->nChannels);
    }
    QImage *qImage;
    QVector<QRgb> vcolorTable;
    if (iplImage->nChannels == 1)
    {
        // We should check who is going to destroy this allocation.
        QRgb *colorTable = new QRgb[256];
        for (int i = 0; i < 256; i++)
        {
           colorTable[i] = qRgb(i, i, i);
           vcolorTable[i] = colorTable[i];
        }
        qImage = new QImage(qImageBuffer, width, height, QImage::Format_Indexed8);
        qImage->setColorTable(vcolorTable);
    }
    else
    {
        qImage = new QImage(qImageBuffer, width, height, QImage::Format_RGB32);
    }
    *data = qImageBuffer;
    return qImage;
}

最佳答案

看起来该代码未使用data，而mini和maxi用于将某些图像格式使用的浮点值转换为0-255范围内的整数。

我会尝试将NULL用于数据。 mini和maxi实际上取决于图像数据，我不知道合理的范围是多少。但是，如果您的IplImage没有存储为浮点值，则这些值应该没有任何区别。

https://stackoverflow.com/questions/6164681/