DGtal 1.3.0
Loading...
Searching...
No Matches
Tutorial "Image -> Region -> Volume -> 3dVolViewer : a simple 3D volume viewer in less than 50 lines"
Author
Bertrand Kerautret

This part of the manual describes a simple tool written in less than 50 lines which allows to perform a simple 3D volume viewer.

The viewer is based on Viewer3D and the input file is simply a ".vol" and all voxels contained in an interval can be displayed in 3D. The source program 3dVolViewer.cpp can be found in the DGtalTools project. We give here a rapid description of the main parts of the simple viewer.

First we set the program option using boost

namespace po = boost::program_options;
general_opt.add_options()
("help,h", "display this message")
("input-file,i", po::value<std::string>(), "volume file" " (default: standard input)")
("thresholdMin,m", po::value<int>()->default_value(0), "threshold min to define binary shape" )
("thresholdMax,M", po::value<int>()->default_value(255), "threshold max to define binary shape" )
("transparency,t", po::value<uint>()->default_value(255), "transparency") ;

Then argument are parsed and stored:

po::variables_map vm;
po::store(po::parse_command_line(argc, argv, general_opt), vm);
po::notify(vm);
string inputFilename = vm["input-file"].as<std::string>();
int thresholdMin = vm["thresholdMin"].as<int>();
int thresholdMax = vm["thresholdMax"].as<int>();
unsigned char transp = vm["transparency"].as<uint>();

The image can be loaded simply as follows:

Image image = VolReader<Image>::importVol( inputFilename );
ImageContainerBySTLVector< Domain, Value > Type
Definition: ImageSelector.h:78
static ImageContainer importVol(const std::string &filename, const Functor &aFunctor=Functor())
ImageContainerBySTLVector< Domain, Value > Image

and its associated domain is obtain with:

Domain domain(image.lowerBound(), image.upperBound());
Domain domain
HyperRectDomain< Space > Domain

We use the GradientColorMap to obtain a pretty rendering a grey level volume information.

GradientColorMap<long> gradient( thresholdMin, thresholdMax);
gradient.addColor(LibBoard::Color::Blue);
gradient.addColor(LibBoard::Color::Green);
gradient.addColor(LibBoard::Color::Yellow);
gradient.addColor(LibBoard::Color::Red);

Finally we only have to display the voxels with Viewer3D:

for(Domain::ConstIterator it = domain.begin(), itend=domain.end(); it!=itend; ++it){
unsigned char val= image( (*it) );
LibBoard::Color c= gradient(val);
if(val<=thresholdMax && val >=thresholdMin){
viewer << CustomColors3D(QColor((float)(c.red()), (float)(c.green()),(float)(c.blue()), transp),
QColor((float)(c.red()), (float)(c.green()),(float)(c.blue()), transp));
viewer << *it;
}
}
viewer << Viewer3D<>::updateDisplay;

By executing the following command line from the build directory of DGtalTools:

./visualisation/3dVolViewer -i ../examples/samples/lobster.vol -m 30 -M 255 -t 10

You will get the following visualisation:

Example of visualisation obtained with 3dVolViewer

You can also add a clipping plane:

viewer << ClippingPlane(0,0,-1, 20);

You will get the following visualisation:

Example of visualisation obtained with 3dVolViewer