LIBTIFF 16位灰度tif图像转成OpenCV中的Mat格式并显示

尝试使用libtiff将一个16位的灰度tif图像转为OpenCV中对应的Mat格式并显示出来，参考代码如下：

void tiff_test()
{
    libtiff::TIFF *image;
    uint32_t width = 0, height = 0;
    uint16_t ncn = 0;
    uint16_t bitsPer = 0;
    uint16_t *pData;
    if((image = libtiff::TIFFOpen("/Users/Ko/brake/Tiff/brake1_height.tif",  "r")) == NULL)
    {
        cout << "not a tiff" << endl;
        exit(1);
    } else {
        cout << "tiff loaded" << endl;
    }
  
    libtiff::TIFFGetField(image, TIFFTAG_IMAGEWIDTH, &width);
    libtiff::TIFFGetField(image, TIFFTAG_IMAGELENGTH, &height);
    libtiff::TIFFGetField(image, TIFFTAG_SAMPLESPERPIXEL, &ncn);
    libtiff::TIFFGetField(image, TIFFTAG_BITSPERSAMPLE, &bitsPer);
    pData = (uint16_t *)libtiff::_TIFFmalloc(width * height * bitsPer);
    if(pData != NULL)
    {
        
    }
    cout << "tiff width:" << width << endl;
    cout << "tiff length:" << height << endl;
    cout << ncn << endl;
    cout << "bitsPer:" << bitsPer << endl;
    cout << "scanlinesize:" << libtiff::TIFFScanlineSize(image) << endl;
    for(int i = 0; i < height; i++)
    {
        libtiff::TIFFReadScanline(image, pData + i * width, i);
    }
    Mat M(height, width, CV_16UC1, Scalar(0));
    for(int i = 0; i < height; i++)
    {
        for(int j = 0; j < width; j++)
        {
            M.at<uint16_t>(i,j) = pData[j + i * width];
        }
    }
    imshow("result", M);
    libtiff::_TIFFfree(pData);
    libtiff::TIFFClose(image);
}