ReadSLC
Description¶
In this example you will familiarize yourself with the stages required to read a .slc file and create a visualization pipeline in VTK. Following is the three step procedure:
-
Read the data from .slc file using vtkSLCReader
-
Implement Marching cubes Algorithm using vtkContourFilter
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Create Visualization pipeline to visualize data using an actor, mapper and rendering window
Cite
This example was provided by Bharatesh Chakravarthi from Virtual Environment Lab, Chung-Ang University, Seoul, South Korea
Question
If you have a simple question about this example contact us at VTKExProject If your question is more complex and may require extended discussion, please use the VTK Discourse Forum
Code¶
ReadSLC.cxx
#include <vtkSmartPointer.h>
#include <vtkSLCReader.h>
#include <vtkPolyData.h>
#include <vtkPolyDataMapper.h>
#include <vtkActor.h>
#include <vtkCamera.h>
#include <vtkRenderWindow.h>
#include <vtkRenderer.h>
#include <vtkRenderWindowInteractor.h>
#include <vtkContourFilter.h>
#include <vtkProperty.h>
#include <vtkExtractVOI.h>
#include <vtkOutlineFilter.h>
#include <vtkNamedColors.h>
//Author: Bharatesh Chakravarthi
//Affiliation: Virtual Environment Lab, Chung-Ang University, Seoul, South Korea
int main(int argc, char *argv[])
{
if (argc < 2)
{
//Pass the filename (<filename>.slc) as parameter to read .slc file
std::cout << "Required parameters: Filename(.slc) e.g vw_knee.slc" << std::endl;
return EXIT_FAILURE;
}
double isoValue = 72.0;
if (argc < 3)
{
isoValue = 72.0;
}
else
{
isoValue = std::atof(argv[2]);
}
std::string inputFilename = argv[1];
//Using vtkSLCReader to read Volumetric file format(<filename.slc>)
vtkSmartPointer<vtkSLCReader> reader =
vtkSmartPointer<vtkSLCReader>::New();
reader->SetFileName(inputFilename.c_str());
reader->Update();
// Implementing Marching Cubes Algorithm to create the surface using
// vtkContourFilter object
vtkSmartPointer<vtkContourFilter> cFilter =
vtkSmartPointer<vtkContourFilter>::New();
cFilter->SetInputConnection(reader->GetOutputPort());
// Change the range(2nd and 3rd Paramater) based on your
// requirement. recomended value for 1st parameter is above 1
// cFilter->GenerateValues(5, 80.0, 100.0);
cFilter->SetValue(0, isoValue);
cFilter->Update();
//Adding the outliner using vtkOutlineFilter object
vtkSmartPointer<vtkOutlineFilter> outliner =
vtkSmartPointer<vtkOutlineFilter>::New();
outliner->SetInputConnection(reader->GetOutputPort());
outliner->Update();
// Visualize
vtkSmartPointer<vtkPolyDataMapper> mapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
mapper->SetInputConnection(cFilter->GetOutputPort());
mapper->SetScalarVisibility(0);
vtkSmartPointer<vtkNamedColors> colors =
vtkSmartPointer<vtkNamedColors>::New();
vtkSmartPointer<vtkActor> actor =
vtkSmartPointer<vtkActor>::New();
actor->SetMapper(mapper);
actor->GetProperty()->SetDiffuse(.8);
actor->GetProperty()->SetDiffuseColor(colors->GetColor3d("Ivory").GetData());
actor->GetProperty()->SetSpecular(.8);
actor->GetProperty()->SetSpecularPower(120.0);
//extractVOI is used to fix the problem of subsampling of data and reduce slow interaction and increase loading speed
vtkSmartPointer<vtkExtractVOI> extractVOI =
vtkSmartPointer<vtkExtractVOI>::New();
extractVOI->SetInputConnection(reader->GetOutputPort());
extractVOI->SetSampleRate(2, 2, 2);
extractVOI->Update();
vtkSmartPointer<vtkRenderer> renderer =
vtkSmartPointer<vtkRenderer>::New();
vtkSmartPointer<vtkRenderWindow> renderWindow =
vtkSmartPointer<vtkRenderWindow>::New();
renderWindow->AddRenderer(renderer);
renderWindow->SetSize(640, 512);
vtkSmartPointer<vtkRenderWindowInteractor> renderWindowInteractor
= vtkSmartPointer<vtkRenderWindowInteractor>::New();
renderWindowInteractor->SetRenderWindow(renderWindow);
renderer->AddActor(actor);
renderer->SetBackground(colors->GetColor3d("SlateGray").GetData());
renderWindow->Render();
// Pick a good view
vtkCamera *cam1 = renderer->GetActiveCamera();
cam1->SetFocalPoint(0.0, 0.0, 0.0);
cam1->SetPosition(0.0, -1.0, 0.0);
cam1->SetViewUp(0.0, 0.0, -1.0);
cam1->Azimuth(30.0);
renderer->ResetCamera();
renderer->ResetCameraClippingRange();
renderWindow->Render();
renderWindowInteractor->Start();
return EXIT_SUCCESS;
}
CMakeLists.txt¶
cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
project(ReadSLC)
find_package(VTK COMPONENTS
vtkvtkCommonColor
vtkvtkCommonCore
vtkvtkCommonDataModel
vtkvtkFiltersCore
vtkvtkFiltersModeling
vtkvtkIOImage
vtkvtkImagingCore
vtkvtkInteractionStyle
vtkvtkRenderingContextOpenGL2
vtkvtkRenderingCore
vtkvtkRenderingFreeType
vtkvtkRenderingGL2PSOpenGL2
vtkvtkRenderingOpenGL2 QUIET)
if (NOT VTK_FOUND)
message("Skipping ReadSLC: ${VTK_NOT_FOUND_MESSAGE}")
return ()
endif()
message (STATUS "VTK_VERSION: ${VTK_VERSION}")
if (VTK_VERSION VERSION_LESS "8.90.0")
# old system
include(${VTK_USE_FILE})
add_executable(ReadSLC MACOSX_BUNDLE ReadSLC.cxx )
target_link_libraries(ReadSLC PRIVATE ${VTK_LIBRARIES})
else ()
# include all components
add_executable(ReadSLC MACOSX_BUNDLE ReadSLC.cxx )
target_link_libraries(ReadSLC PRIVATE ${VTK_LIBRARIES})
# vtk_module_autoinit is needed
vtk_module_autoinit(
TARGETS ReadSLC
MODULES ${VTK_LIBRARIES}
)
endif ()
Download and Build ReadSLC¶
Click here to download ReadSLC and its CMakeLists.txt file. Once the tarball ReadSLC.tar has been downloaded and extracted,
cd ReadSLC/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:
./ReadSLC
WINDOWS USERS
Be sure to add the VTK bin directory to your path. This will resolve the VTK dll's at run time.