ImageGradient

VTKExamples/Cxx/VisualizationAlgorithms/ImageGradient


Description

We create an imaging pipeline to visualize gradient information.

The gradient direction is mapped into color hue value while the gradient magnitude is mapped into the color saturation.

Code

ImageGradient.cxx

/*
 * Visualization of gradient information.
 *
 */

#include <vtkImageCast.h>
#include <vtkImageConstantPad.h>
#include <vtkImageEuclideanToPolar.h>
#include <vtkImageExtractComponents.h>
#include <vtkImageGaussianSmooth.h>
#include <vtkImageGradient.h>
#include <vtkImageHSVToRGB.h>
#include <vtkImageMagnify.h>
#include <vtkImageViewer.h>
#include <vtkMetaImageReader.h>
#include <vtkNamedColors.h>
#include <vtkRenderWindowInteractor.h>
#include <vtkRenderer.h>
#include <vtkSmartPointer.h>

#include <iomanip>
#include <iostream>
#include <string>

int main(int argc, char* argv[])
{
  if (argc < 2)
  {
    std::cout << "Usage: " << argv[0] << " fileName" << std::endl;
    std::cout << "where: fileName is FullHead.mhd." << std::endl;
    std::cout << "Note: The file FullHead.raw.gz must also be present in the "
                 "same folder."
              << std::endl;
    return EXIT_FAILURE;
  }

  std::string fileName = argv[1];

  vtkSmartPointer<vtkNamedColors> colors =
    vtkSmartPointer<vtkNamedColors>::New();

  // Read the CT data of the human head.
  vtkSmartPointer<vtkMetaImageReader> reader =
    vtkSmartPointer<vtkMetaImageReader>::New();
  reader->SetFileName(fileName.c_str());
  reader->Update();

  vtkSmartPointer<vtkImageCast> cast = vtkSmartPointer<vtkImageCast>::New();
  cast->SetInputConnection(reader->GetOutputPort());
  cast->SetOutputScalarTypeToFloat();

  // Magnify the image.
  vtkSmartPointer<vtkImageMagnify> magnify =
    vtkSmartPointer<vtkImageMagnify>::New();
  magnify->SetInputConnection(cast->GetOutputPort());
  magnify->SetMagnificationFactors(2, 2, 1);
  magnify->InterpolateOn();

  // Smooth the data.
  // Remove high frequency artifacts due to linear interpolation.
  vtkSmartPointer<vtkImageGaussianSmooth> smooth =
    vtkSmartPointer<vtkImageGaussianSmooth>::New();
  smooth->SetInputConnection(magnify->GetOutputPort());
  smooth->SetDimensionality(2);
  smooth->SetStandardDeviations(1.5, 1.5, 0.0);
  smooth->SetRadiusFactors(2.01, 2.01, 0.0);

  // Compute the 2D gradient.
  vtkSmartPointer<vtkImageGradient> gradient =
    vtkSmartPointer<vtkImageGradient>::New();
  gradient->SetInputConnection(smooth->GetOutputPort());
  gradient->SetDimensionality(2);

  // Convert the data to polar coordinates.
  // The image magnitude is mapped into saturation value,
  //  whilst the gradient direction is mapped into hue value.
  vtkSmartPointer<vtkImageEuclideanToPolar> polar =
    vtkSmartPointer<vtkImageEuclideanToPolar>::New();
  polar->SetInputConnection(gradient->GetOutputPort());
  polar->SetThetaMaximum(255.0);

  // Add a third component to the data.
  // This is needed since the gradient filter only generates two components,
  //  and we need three components to represent color.
  vtkSmartPointer<vtkImageConstantPad> pad =
    vtkSmartPointer<vtkImageConstantPad>::New();
  pad->SetInputConnection(polar->GetOutputPort());
  pad->SetOutputNumberOfScalarComponents(3);
  pad->SetConstant(200.0);

  // At this point we have Hue, Value, Saturation.
  // Permute components so saturation will be constant.
  // Re-arrange components into HSV order.
  vtkSmartPointer<vtkImageExtractComponents> permute =
    vtkSmartPointer<vtkImageExtractComponents>::New();
  permute->SetInputConnection(pad->GetOutputPort());
  permute->SetComponents(0, 2, 1);

  // Convert back into RGB values.
  vtkSmartPointer<vtkImageHSVToRGB> rgb =
    vtkSmartPointer<vtkImageHSVToRGB>::New();
  rgb->SetInputConnection(permute->GetOutputPort());
  rgb->SetMaximum(255.0);

  // Set up a viewer for the image.
  // Note that vtkImageViewer and vtkImageViewer2 are convenience wrappers
  // around
  // vtkActor2D, vtkImageMapper, vtkRenderer, and vtkRenderWindow.
  // So all that needs to be supplied is the interactor.
  vtkSmartPointer<vtkImageViewer> viewer =
    vtkSmartPointer<vtkImageViewer>::New();
  viewer->SetInputConnection(rgb->GetOutputPort());
  viewer->SetZSlice(22);
  viewer->SetColorWindow(255.0);
  viewer->SetColorLevel(127.0);
  viewer->GetRenderWindow()->SetSize(512, 512);
  viewer->GetRenderer()->SetBackground(colors->GetColor3d("Silver").GetData());

  // Create the RenderWindowInteractor.
  vtkSmartPointer<vtkRenderWindowInteractor> iren =
    vtkSmartPointer<vtkRenderWindowInteractor>::New();
  viewer->SetupInteractor(iren);
  viewer->Render();

  iren->Initialize();
  iren->Start();

  return EXIT_SUCCESS;
}

CMakeLists.txt

cmake_minimum_required(VERSION 2.8)

PROJECT(ImageGradient)

find_package(VTK REQUIRED)
include(${VTK_USE_FILE})

add_executable(ImageGradient MACOSX_BUNDLE ImageGradient.cxx )

target_link_libraries(ImageGradient ${VTK_LIBRARIES})

Download and Build ImageGradient

Click here to download ImageGradient and its CMakeLists.txt file. Once the tarball ImageGradient.tar has been downloaded and extracted,

cd ImageGradient/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:

./ImageGradient

WINDOWS USERS

Be sure to add the VTK bin directory to your path. This will resolve the VTK dll's at run time.