Method split

deps/opencv/modules/core/src/convert.cpp:221–264

}

void cv::split(const Mat& src, Mat* mv)
{
    int k, depth = src.depth(), cn = src.channels();
    if( cn == 1 )
    {
        src.copyTo(mv[0]);
        return;
    }

    SplitFunc func = getSplitFunc(depth);
    CV_Assert( func != 0 );

    int esz = (int)src.elemSize(), esz1 = (int)src.elemSize1();
    int blocksize0 = (BLOCK_SIZE + esz-1)/esz;
    AutoBuffer<uchar> _buf((cn+1)*(sizeof(Mat*) + sizeof(uchar*)) + 16);
    const Mat** arrays = (const Mat**)(uchar*)_buf;
    uchar** ptrs = (uchar**)alignPtr(arrays + cn + 1, 16);

    arrays[0] = &src;
    for( k = 0; k < cn; k++ )
    {
        mv[k].create(src.dims, src.size, depth);
        arrays[k+1] = &mv[k];
    }

    NAryMatIterator it(arrays, ptrs, cn+1);
    int total = (int)it.size, blocksize = cn <= 4 ? total : std::min(total, blocksize0);

    for( size_t i = 0; i < it.nplanes; i++, ++it )
    {
        for( int j = 0; j < total; j += blocksize )
        {
            int bsz = std::min(total - j, blocksize);
            func( ptrs[0], &ptrs[1], bsz, cn );

            if( j + blocksize < total )
            {
                ptrs[0] += bsz*esz;
                for( k = 0; k < cn; k++ )
                    ptrs[k+1] += bsz*esz1;
            }
        }
    }
}

void cv::split(InputArray _m, OutputArrayOfArrays _mv)
{