SignedDistance
VTKExamples/Cxx/Points/SignedDistance
Description¶
Contrast this with the UnsignedDistance example.
The image was created using the Armadillo dataset
Warning
The classes used in this example require vtk 7.1 or later.
Code¶
SignedDistance.cxx
#include <vtkSmartPointer.h> #include <vtkPLYReader.h> #include <vtkXMLPolyDataReader.h> #include <vtkOBJReader.h> #include <vtkSTLReader.h> #include <vtkPointSource.h> #include <vtkPCANormalEstimation.h> #include <vtkSignedDistance.h> #include <vtkImageMapToColors.h> #include <vtkLookupTable.h> #include <vtkImageData.h> #include <vtkScalarBarActor.h> #include <vtkImageActor.h> #include <vtkImageMapper3D.h> #include <vtkProperty.h> #include <vtkRenderWindow.h> #include <vtkRenderWindowInteractor.h> #include <vtkRenderer.h> #include <vtkCamera.h> #include <vtksys/SystemTools.hxx> static vtkSmartPointer<vtkPolyData> ReadPolyData(const char *fileName); int main (int argc, char *argv[]) { vtkSmartPointer<vtkPolyData> polyData = ReadPolyData(argc > 1 ? argv[1] : "");; double bounds[6]; polyData->GetBounds(bounds); double range[3]; for (int i = 0; i < 3; ++i) { range[i] = bounds[2*i + 1] - bounds[2*i]; } int sampleSize = polyData->GetNumberOfPoints() * .00005; if (sampleSize < 10) { sampleSize = 10; } std::cout << "Sample size is: " << sampleSize << std::endl; vtkSmartPointer<vtkPCANormalEstimation> normals = vtkSmartPointer<vtkPCANormalEstimation>::New(); normals->SetInputData (polyData); normals->SetSampleSize(sampleSize); normals->SetNormalOrientationToGraphTraversal(); normals->FlipNormalsOn(); std::cout << "Range: " << range[0] << ", " << range[1] << ", " << range[2] << std::endl; int dimension = 256; dimension = 128; double radius = range[0] * .02; radius = range[0] / static_cast<double>(dimension) * 5;; // ~5 voxels std::cout << "Radius: " << radius << std::endl; vtkSmartPointer<vtkSignedDistance> distance = vtkSmartPointer<vtkSignedDistance>::New(); distance->SetInputConnection (normals->GetOutputPort()); distance->SetRadius(radius); distance->SetDimensions(dimension, dimension, dimension); distance->SetBounds( bounds[0] - range[0] * .1, bounds[1] + range[0] * .1, bounds[2] - range[1] * .1, bounds[3] + range[1] * .1, bounds[4] - range[2] * .1, bounds[5] + range[2] * .1); // Create a lookup table that consists of the full hue circle // (from HSV). vtkSmartPointer<vtkLookupTable> hueLut = vtkSmartPointer<vtkLookupTable>::New(); hueLut->SetTableRange (-.99 * radius, .99 * radius); hueLut->SetHueRange (.667, 0); hueLut->SetSaturationRange (1, 1); hueLut->SetValueRange (1, 1); // hueLut->UseBelowRangeColorOn(); // hueLut->SetBelowRangeColor(0, 0, 0, 0); hueLut->UseAboveRangeColorOn(); hueLut->SetAboveRangeColor(0, 0, 0, 0); hueLut->SetNumberOfColors(5); hueLut->Build(); double *last = hueLut->GetTableValue(4); hueLut->SetAboveRangeColor(last[0], last[1], last[2], 0); vtkSmartPointer<vtkImageMapToColors> sagittalColors = vtkSmartPointer<vtkImageMapToColors>::New(); sagittalColors->SetInputConnection(distance->GetOutputPort()); sagittalColors->SetLookupTable(hueLut); sagittalColors->Update(); vtkSmartPointer<vtkImageActor> sagittal = vtkSmartPointer<vtkImageActor>::New(); sagittal->GetMapper()->SetInputConnection(sagittalColors->GetOutputPort()); sagittal->SetDisplayExtent(dimension/2, dimension/2, 0, dimension - 1, 0, dimension - 1); vtkSmartPointer<vtkImageMapToColors> axialColors = vtkSmartPointer<vtkImageMapToColors>::New(); axialColors->SetInputConnection(distance->GetOutputPort()); axialColors->SetLookupTable(hueLut); axialColors->Update(); vtkSmartPointer<vtkImageActor> axial = vtkSmartPointer<vtkImageActor>::New(); axial->GetMapper()->SetInputConnection(axialColors->GetOutputPort()); axial->SetDisplayExtent(0, dimension - 1, 0, dimension - 1, dimension/2, dimension/2); vtkSmartPointer<vtkImageMapToColors> coronalColors = vtkSmartPointer<vtkImageMapToColors>::New(); coronalColors->SetInputConnection(distance->GetOutputPort()); coronalColors->SetLookupTable(hueLut); coronalColors->Update(); vtkSmartPointer<vtkImageActor> coronal = vtkSmartPointer<vtkImageActor>::New(); coronal->GetMapper()->SetInputConnection(coronalColors->GetOutputPort()); coronal->SetDisplayExtent(0, dimension - 1, dimension/2, dimension/2, 0, dimension - 1); // Create a scalar bar vtkSmartPointer<vtkScalarBarActor> scalarBar = vtkSmartPointer<vtkScalarBarActor>::New(); scalarBar->SetLookupTable(hueLut); scalarBar->SetTitle("Distance"); scalarBar->SetNumberOfLabels(5); // Create graphics stuff // vtkSmartPointer<vtkRenderer> ren1 = vtkSmartPointer<vtkRenderer>::New(); ren1->SetBackground(.3, .4, .6); vtkSmartPointer<vtkRenderWindow> renWin = vtkSmartPointer<vtkRenderWindow>::New(); renWin->AddRenderer(ren1); renWin->SetSize(512,512); vtkSmartPointer<vtkRenderWindowInteractor> iren = vtkSmartPointer<vtkRenderWindowInteractor>::New(); iren->SetRenderWindow(renWin); // Add the actors to the renderer, set the background and size // ren1->AddActor(sagittal); ren1->AddActor(axial); ren1->AddActor(coronal); ren1->AddActor2D(scalarBar); // Generate an interesting view // ren1->ResetCamera(); ren1->GetActiveCamera()->Azimuth(120); ren1->GetActiveCamera()->Elevation(30); ren1->GetActiveCamera()->Dolly(1.5); ren1->ResetCameraClippingRange(); iren->Initialize(); iren->Start(); std::cout << distance->GetOutput()->GetScalarRange()[0] << ", " << distance->GetOutput()->GetScalarRange()[1] << std::endl; return EXIT_SUCCESS; } static vtkSmartPointer<vtkPolyData> ReadPolyData(const char *fileName) { vtkSmartPointer<vtkPolyData> polyData; std::string extension = vtksys::SystemTools::GetFilenameExtension(std::string(fileName)); if (extension == ".ply") { vtkSmartPointer<vtkPLYReader> reader = vtkSmartPointer<vtkPLYReader>::New(); reader->SetFileName (fileName); reader->Update(); polyData = reader->GetOutput(); } else if (extension == ".vtp") { vtkSmartPointer<vtkXMLPolyDataReader> reader = vtkSmartPointer<vtkXMLPolyDataReader>::New(); reader->SetFileName (fileName); reader->Update(); polyData = reader->GetOutput(); } else if (extension == ".obj") { vtkSmartPointer<vtkOBJReader> reader = vtkSmartPointer<vtkOBJReader>::New(); reader->SetFileName (fileName); reader->Update(); polyData = reader->GetOutput(); } else if (extension == ".stl") { vtkSmartPointer<vtkSTLReader> reader = vtkSmartPointer<vtkSTLReader>::New(); reader->SetFileName (fileName); reader->Update(); polyData = reader->GetOutput(); } else { vtkSmartPointer<vtkPointSource> points = vtkSmartPointer<vtkPointSource>::New(); points->SetNumberOfPoints(100000); points->SetRadius(10.0); points->SetCenter(vtkMath::Random(-100, 100), vtkMath::Random(-100, 100), vtkMath::Random(-100, 100)); points->SetDistributionToShell(); points->Update(); polyData = points->GetOutput(); } return polyData; }
CMakeLists.txt¶
cmake_minimum_required(VERSION 2.8) PROJECT(SignedDistance) find_package(VTK REQUIRED) include(${VTK_USE_FILE}) add_executable(SignedDistance MACOSX_BUNDLE SignedDistance.cxx) target_link_libraries(SignedDistance ${VTK_LIBRARIES})
Download and Build SignedDistance¶
Danger
The generation of tar files has not been ported to the new VTKExamples. Some tarballs may be missing or out-of-date.
Click here to download SignedDistance and its CMakeLists.txt file. Once the tarball SignedDistance.tar has been downloaded and extracted,
cd SignedDistance/build
If VTK is installed:
cmake ..
If VTK is not installed but compiled on your system, you will need to specify the path to your VTK build:
cmake -DVTK_DIR:PATH=/home/me/vtk_build ..
Build the project:
make
and run it:
./SignedDistance
WINDOWS USERS PLEASE NOTE: Be sure to add the VTK bin directory to your path. This will resolve the VTK dll's at run time.