ITK/Examples/Segmentation/OtsuThresholdImageFilter: Difference between revisions
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<div class="floatcenter">[[File:ITK_Examples_Baseline_Segmentation_TestOtsuThresholdImageFilter.png]]</div> | |||
==OtsuThresholdImageFilter.cxx== | ==OtsuThresholdImageFilter.cxx== |
Revision as of 17:08, 28 July 2013
OtsuThresholdImageFilter.cxx
<source lang="cpp">
- include "itkImage.h"
- include "itkOtsuThresholdImageFilter.h"
- include "itkImageFileReader.h"
- include "itkImageRegionIterator.h"
- include "itkNumericTraits.h"
- include "itksys/SystemTools.hxx"
- include <sstream>
- include "QuickView.h"
typedef unsigned char PixelType; typedef itk::Image<PixelType, 2> ImageType;
static void CreateImage(ImageType::Pointer image);
int main(int argc, char *argv[]) {
ImageType::Pointer image; if( argc < 2 ) { image = ImageType::New(); CreateImage(image.GetPointer()); } else { typedef itk::ImageFileReader<ImageType> ReaderType; ReaderType::Pointer reader = ReaderType::New(); reader->SetFileName(argv[1]); reader->Update();
image = reader->GetOutput(); }
typedef itk::OtsuThresholdImageFilter <ImageType, ImageType> FilterType; FilterType::Pointer otsuFilter = FilterType::New(); otsuFilter->SetInput(image); otsuFilter->Update(); // To compute threshold
QuickView viewer; viewer.AddImage( image.GetPointer(),true, argc > 1 ? itksys::SystemTools::GetFilenameName(argv[1]) : "Generated image");
std::stringstream desc; desc << "Otsu Threshold: " << itk::NumericTraits<FilterType::InputPixelType>::PrintType(otsuFilter->GetThreshold()); viewer.AddImage( otsuFilter->GetOutput(), true, desc.str());
viewer.Visualize();
return EXIT_SUCCESS;
}
void CreateImage(ImageType::Pointer image) {
// Create an image ImageType::IndexType start; start.Fill(0);
ImageType::SizeType size; size.Fill(100);
ImageType::RegionType region; region.SetSize(size); region.SetIndex(start);
image->SetRegions(region); image->Allocate();
// Make the whole image white itk::ImageRegionIterator<ImageType> iterator(image,image->GetLargestPossibleRegion());
/* //Create a square while(!iterator.IsAtEnd()) { iterator.Set(255); ++iterator; } */
} </source>
CMakeLists.txt
<syntaxhighlight lang="cmake"> cmake_minimum_required(VERSION 3.9.5)
project(OtsuThresholdImageFilter)
find_package(ITK REQUIRED) include(${ITK_USE_FILE}) if (ITKVtkGlue_LOADED)
find_package(VTK REQUIRED) include(${VTK_USE_FILE})
else()
find_package(ItkVtkGlue REQUIRED) include(${ItkVtkGlue_USE_FILE}) set(Glue ItkVtkGlue)
endif()
add_executable(OtsuThresholdImageFilter MACOSX_BUNDLE OtsuThresholdImageFilter.cxx) target_link_libraries(OtsuThresholdImageFilter
${Glue} ${VTK_LIBRARIES} ${ITK_LIBRARIES})
</syntaxhighlight>
Download and Build OtsuThresholdImageFilter
Click here to download OtsuThresholdImageFilter. and its CMakeLists.txt file. Once the tarball OtsuThresholdImageFilter.tar has been downloaded and extracted,
cd OtsuThresholdImageFilter/build
- If ITK is installed:
cmake ..
- If ITK is not installed but compiled on your system, you will need to specify the path to your ITK build:
cmake -DITK_DIR:PATH=/home/me/itk_build ..
Build the project,
make
and run it:
./OtsuThresholdImageFilter
WINDOWS USERS PLEASE NOTE: Be sure to add the VTK and ITK bin directories to your path. This will resolve the VTK and ITK dll's at run time.
Building All of the Examples
Many of the examples in the ITK Wiki Examples Collection require VTK. You can build all of the the examples by following these instructions. If you are a new VTK user, you may want to try the Superbuild which will build a proper ITK and VTK.
ItkVtkGlue
ITK >= 4
For examples that use QuickView (which depends on VTK), you must have built ITK with Module_ITKVtkGlue=ON.
ITK < 4
Some of the ITK Examples require VTK to display the images. If you download the entire ITK Wiki Examples Collection, the ItkVtkGlue directory will be included and configured. If you wish to just build a few examples, then you will need to download ItkVtkGlue and build it. When you run cmake it will ask you to specify the location of the ItkVtkGlue binary directory.