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：
1 void tiff_test()
2 {
3 libtiff::TIFF *image;
4 uint32_t width = 0, height = 0;
5 uint16_t ncn = 0;
6 uint16_t bitsPer = 0;
7 uint16_t *pData;
8 if((image = libtiff::TIFFOpen("/Users/Ko/brake/Tiff/brake1_height.tif", "r")) == NULL)
9 {
10 cout << "not a tiff" << endl;
11 exit(1);
12 } else {
13 cout << "tiff loaded" << endl;
14 }
15
16 libtiff::TIFFGetField(image, TIFFTAG_IMAGEWIDTH, &width);
17 libtiff::TIFFGetField(image, TIFFTAG_IMAGELENGTH, &height);
18 libtiff::TIFFGetField(image, TIFFTAG_SAMPLESPERPIXEL, &ncn);
19 libtiff::TIFFGetField(image, TIFFTAG_BITSPERSAMPLE, &bitsPer);
20 pData = (uint16_t *)libtiff::_TIFFmalloc(width * height * bitsPer);
21 if(pData != NULL)
22 {
23
24 }
25 cout << "tiff width:" << width << endl;
26 cout << "tiff length:" << height << endl;
27 cout << ncn << endl;
28 cout << "bitsPer:" << bitsPer << endl;
29 cout << "scanlinesize:" << libtiff::TIFFScanlineSize(image) << endl;
30 for(int i = 0; i < height; i++)
31 {
32 libtiff::TIFFReadScanline(image, pData + i * width, i);
33 }
34 Mat M(height, width, CV_16UC1, Scalar(0));
35 for(int i = 0; i < height; i++)
36 {
37 for(int j = 0; j < width; j++)
38 {
39 M.at<uint16_t>(i,j) = pData[j + i * width];
40 }
41 }
42 imshow("result", M);
43 libtiff::_TIFFfree(pData);
44 libtiff::TIFFClose(image);
45 }
