IplImage *，Mat，QImage之间的转换

以下是我在网上搜索整理的QT图像处理中QImage和Mat、IplImage 之间的转化，结合Opencv做图像处理，希望能帮助大家.

<strong><span style="font-size:18px;color:#ff0000;">//QImage->IplImage *</span></strong>
static IplImage *ConvertToIplImage(const QImage &img)
{
    int nChannel=0;
    if(img.format()==QImage::Format_RGB888)nChannel=3;
    if(img.format()==QImage::Format_ARGB32)nChannel=4;
    if( nChannel==0 )return false;
 
    IplImage *iplImg=cvCreateImageHeader( cvSize(img.width(), img.height()),8,nChannel );
    iplImg->imageData=(char*)img.bits();
 
    if(nChannel==3)
        cvConvertImage(iplImg,iplImg,CV_CVTIMG_SWAP_RB);
 
    return iplImg;
}
 
<strong><span style="font-size:18px;color:#ff0000;">//IplImage *->QImage </span></strong>
static QImage ConvertToQImage(IplImage *iplImg)
{
    QImage img;
    int nChannel=iplImg->nChannels;
    if(nChannel==3)
    {
        cvConvertImage(iplImg,iplImg,CV_CVTIMG_SWAP_RB);
        img = QImage((const unsigned char*)iplImg->imageData,iplImg->width,iplImg->height,QImage::Format_RGB888);
    }
    else if(nChannel==4||nChannel==1)
    {
        img = QImage((const unsigned char*)iplImg->imageData,iplImg->width,iplImg->height,QImage::Format_ARGB32);
    }
 
    return img;
}

//cvMat->QImage

QImage cvMat2QImage(const cv::Mat& mat)  
{  
    // 8-bits unsigned, NO. OF CHANNELS = 1  
    if(mat.type() == CV_8UC1)  
    {  
        QImage image(mat.cols, mat.rows, QImage::Format_Indexed8);  
        // Set the color table (used to translate colour indexes to qRgb values)  
        image.setColorCount(256);  
        for(int i = 0; i < 256; i++)  
        {  
            image.setColor(i, qRgb(i, i, i));  
        }  
        // Copy input Mat  
        uchar *pSrc = mat.data;  
        for(int row = 0; row < mat.rows; row ++)  
        {  
            uchar *pDest = image.scanLine(row);  
            memcpy(pDest, pSrc, mat.cols);  
            pSrc += mat.step;  
        }  
        return image;  
    }  
    // 8-bits unsigned, NO. OF CHANNELS = 3  
    else if(mat.type() == 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();  
    }  
    else if(mat.type() == CV_8UC4)  
    {  
        qDebug() << "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();  
    }  
    else  
    {  
        qDebug() << "ERROR: Mat could not be converted to QImage.";  
        return QImage();  
    }  
}  

<span style="font-size:18px;color:#ff0000;"><strong>//QImage->cvMat</strong></span>
cv::Mat QImage2cvMat(QImage image)  
{  
    cv::Mat mat;  
    qDebug() << image.format();  
    switch(image.format())  
    {  
    case QImage::Format_ARGB32:  
    case QImage::Format_RGB32:  
    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;  
    }  
    return mat;  
}  

IplImage转换成cv::Mat
IplImage *iplImage=cvLoadImage("heels,jpg");
cv::Mat mating;
mating = cv::Mat(iplImage);

cv::Mat转换成IplImage
cv::Mat mating = cv::imread("heels.jpg");
IplImage *iplImage;
*iplImage = IplImage(mating);