本文整理汇总了C++中KSpace::uDim方法的典型用法代码示例。如果您正苦于以下问题：C++ KSpace::uDim方法的具体用法？C++ KSpace::uDim怎么用？C++ KSpace::uDim使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类KSpace的用法示例。
在下文中一共展示了KSpace::uDim方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
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;
}