int main(int argc, char**argv) { // parse command line ---------------------------------------------- po::options_description general_opt ( "Allowed options are: " ); general_opt.add_options() ( "help,h", "display this message." ) ( "input,i", po::value<std::string>(), "Input vol file." ) ("thresholdMin,m", po::value<int>()->default_value(0), "threshold min (excluded) to define binary shape" ) ("thresholdMax,M", po::value<int>()->default_value(255), "threshold max (included) to define binary shape" ); bool parseOK=true; po::variables_map vm; try{ po::store(po::parse_command_line(argc, argv, general_opt), vm); }catch(const std::exception& ex){ parseOK=false; trace.info()<< "Error checking program options: "<< ex.what()<< endl; } po::notify ( vm ); if (!parseOK || vm.count ( "help" ) ||argc<=1 ) { trace.info() << "Compute the Euleur Characteristic of a vol to a 8-bit raw file. The vol file is first binarized using interval [m,M[ thresholds and the Eucler characteristic is given from the cubical complex"<<std::endl << std::endl << "Basic usage: "<<std::endl << "\eulerCharacteristic --input <volFileName> -m <minlevel> -M <maxlevel> "<<std::endl << general_opt << "\n"; return 0; } //Parse options if ( ! ( vm.count ( "input" ) ) ) missingParam ( "--input" ); std::string filename = vm["input"].as<std::string>(); int thresholdMin = vm["thresholdMin"].as<int>(); int thresholdMax = vm["thresholdMax"].as<int>(); //Importing the Vol trace.beginBlock("Loading the vol file"); typedef ImageContainerBySTLVector<Z3i::Domain, unsigned char> MyImageC; MyImageC imageC = VolReader< MyImageC >::importVol ( filename ); trace.info()<<imageC<<std::endl; trace.endBlock(); //Constructing the cubical complex trace.beginBlock("Construting the cubical complex"); KSpace::CellSet myCellSet; KSpace ks; bool space_ok = ks.init( imageC.domain().lowerBound(), imageC.domain().upperBound(), true ); if (!space_ok) { trace.error() << "Error in the Khamisky space construction."<<std::endl; return 2; } functors::IntervalForegroundPredicate<MyImageC> interval(imageC, thresholdMin,thresholdMax); for(MyImageC::Domain::ConstIterator it =imageC.domain().begin(), itend= imageC.domain().end(); it != itend; ++it) { if (interval( *it )) { Domain dom( 2*(*it), 2*(*it) + Point::diagonal(2)); for(Domain::ConstIterator itdom = dom.begin(), itdomend = dom.end(); itdom != itdomend; ++itdom) myCellSet.insert( ks.uCell( *itdom) ); } } trace.info() << "Got "<< myCellSet.size()<< " cells"<<std::endl; trace.endBlock(); trace.beginBlock("Computing the characteristics"); std::vector<int> cells(4,0); for(KSpace::CellSet::const_iterator it = myCellSet.begin(), itend = myCellSet.end(); it !=itend; ++it) cells[ ks.uDim(*it) ] ++; trace.info() << "Got "<< cells[0]<< " pointels "<<cells[1]<<" linels "<< cells[2]<<" surfels and "<<cells[3]<<" bells"<<std::endl; trace.endBlock(); trace.info() << "Volumetric Euler Characteristic = "<<cells[0] - cells[1] + cells[2] - cells[3]<<std::endl; return 0; }