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Update documentation ( tutorials )

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Suleyman TURKMEN
2016-07-18 16:32:05 +03:00
parent 55d0945149
commit bb6f65c199
34 changed files with 369 additions and 1333 deletions
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doc/tutorials/imgcodecs/raster-gdal/raster_io_gdal.markdown
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@@ -35,17 +35,13 @@ How to Read Raster Data using GDAL
This demonstration uses the default OpenCV imread function. The primary difference is that in order
to force GDAL to load the image, you must use the appropriate flag.
@code{.cpp}
cv::Mat image = cv::imread( argv[1], cv::IMREAD_LOAD_GDAL );
@endcode
@snippet cpp/tutorial_code/imgcodecs/GDAL_IO/gdal-image.cpp load1
When loading digital elevation models, the actual numeric value of each pixel is essential and
cannot be scaled or truncated. For example, with image data a pixel represented as a double with a
value of 1 has an equal appearance to a pixel which is represented as an unsigned character with a
value of 255. With terrain data, the pixel value represents the elevation in meters. In order to
ensure that OpenCV preserves the native value, use the GDAL flag in imread with the ANYDEPTH flag.
@code{.cpp}
cv::Mat dem = cv::imread( argv[2], cv::IMREAD_LOAD_GDAL | cv::IMREAD_ANYDEPTH );
@endcode
@snippet cpp/tutorial_code/imgcodecs/GDAL_IO/gdal-image.cpp load2
If you know beforehand the type of DEM model you are loading, then it may be a safe bet to test the
Mat::type() or Mat::depth() using an assert or other mechanism. NASA or DOD specification documents
can provide the input types for various elevation models. The major types, SRTM and DTED, are both