cv::Mat to QImage conversion

Question

I\'ve found very similiar topic: how to convert an opencv cv::Mat to qimage , but it does not solve my problem.

I have function converting cv::Mat to QImage

Answer 1

It may be easiest to roll your own solution. Below is the current OpenCV implementation for going from gray to RGBA format:

template
struct Gray2RGB
{
    typedef _Tp channel_type;

    Gray2RGB(int _dstcn) : dstcn(_dstcn) {}
    void operator()(const _Tp* src, _Tp* dst, int n) const
    {
        if( dstcn == 3 )
            for( int i = 0; i < n; i++, dst += 3 )
            {
                dst[0] = dst[1] = dst[2] = src[i];
            }
        else
        {
            _Tp alpha = ColorChannel<_Tp>::max();
            for( int i = 0; i < n; i++, dst += 4 )
            {
                dst[0] = dst[1] = dst[2] = src[i];
                dst[3] = alpha;
            }
        }
    }

    int dstcn;
};

Here is where the actual cvtColor call occurs:

    case CV_GRAY2BGR: case CV_GRAY2BGRA:
        if( dcn <= 0 ) dcn = 3;
        CV_Assert( scn == 1 && (dcn == 3 || dcn == 4));
        _dst.create(sz, CV_MAKETYPE(depth, dcn));
        dst = _dst.getMat();

        if( depth == CV_8U )
            CvtColorLoop(src, dst, Gray2RGB(dcn));

This code is contained in the color.cpp file in the imgproc library.

As you can see, since you are not setting the dstCn parameter in your cvtColor calls, it defaults to dcn = 3. To go straight from gray to BGRA, set dstCn to 4. Since OpenCV's default color order is BGR, you'll still need to swap the color channels for it to look right (assuming you get your image data from an OpenCV function). So, it may be worth it to implement your own converter possibly following the above example, or using ypnos answer here.

Also, have a look at my other answer involving how to integrate OpenCV with Qt.