ITK/Examples/Broken/Statistics/ImageToHistogramFilter: Difference between revisions
Daviddoria (talk | contribs) (Created page with "==ImageToHistogramFilter.cxx== <source lang="cpp"> #include "itkImageToHistogramFilter.h" #include "itkImage.h" #include "itkRGBPixel.h" #include "itkImageRegionIteratorWithIndex...") |
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Pending some bug fixes: | |||
http://public.kitware.com/Bug/view.php?id=11481 | |||
http://public.kitware.com/Bug/view.php?id=11480 | |||
==ImageToHistogramFilter.cxx== | ==ImageToHistogramFilter.cxx== | ||
<source lang="cpp"> | <source lang="cpp"> | ||
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#include "itkRGBPixel.h" | #include "itkRGBPixel.h" | ||
#include "itkImageRegionIteratorWithIndex.h" | #include "itkImageRegionIteratorWithIndex.h" | ||
#include <fstream> | |||
typedef itk::RGBPixel<unsigned char> RGBPixelType; | typedef itk::RGBPixel<unsigned char> RGBPixelType; | ||
typedef itk::Image< RGBPixelType, 2> RGBImageType; | typedef itk::Image< RGBPixelType, 2> RGBImageType; | ||
void CreateImage(RGBImageType::Pointer image); | void CreateImage(RGBImageType::Pointer image); | ||
int main(int, char *[]) | int main(int, char *[]) | ||
{ | { | ||
const unsigned int MeasurementVectorSize = 3; // RGB | const unsigned int MeasurementVectorSize = 3; // RGB | ||
RGBImageType::Pointer image = RGBImageType::New(); | RGBImageType::Pointer image = RGBImageType::New(); | ||
CreateImage(image); | CreateImage(image); | ||
typedef itk::Statistics::ImageToHistogramFilter< RGBImageType > HistogramFilterType; | typedef itk::Statistics::ImageToHistogramFilter< RGBImageType > HistogramFilterType; | ||
typedef HistogramFilterType::HistogramMeasurementVectorType HistogramMeasurementVectorType; | typedef HistogramFilterType::HistogramMeasurementVectorType HistogramMeasurementVectorType; | ||
typedef HistogramFilterType::HistogramSizeType HistogramSizeType; | typedef HistogramFilterType::HistogramSizeType HistogramSizeType; | ||
typedef HistogramFilterType::HistogramType HistogramType; | typedef HistogramFilterType::HistogramType HistogramType; | ||
HistogramFilterType::Pointer filter = HistogramFilterType::New(); | HistogramFilterType::Pointer filter = HistogramFilterType::New(); | ||
filter->SetInput(image); | filter->SetInput(image); | ||
filter->SetAutoMinimumMaximum(true); | filter->SetAutoMinimumMaximum(true); | ||
HistogramSizeType histogramSize( MeasurementVectorSize ); | HistogramSizeType histogramSize( MeasurementVectorSize ); | ||
histogramSize[0] = | histogramSize[0] = 2; // number of bins for the Red channel | ||
histogramSize[1] = | histogramSize[1] = 2; // number of bins for the Green channel | ||
histogramSize[2] = | histogramSize[2] = 2; // number of bins for the Blue channel | ||
filter->SetHistogramSize(histogramSize); | filter->SetHistogramSize(histogramSize); | ||
filter->SetMarginalScale(10); // | filter->SetMarginalScale(10); // Required (could this be set in the filter?) | ||
filter->Update(); | filter->Update(); | ||
const HistogramType * histogram = filter->GetOutput(); | const HistogramType * histogram = filter->GetOutput(); | ||
HistogramType::ConstIterator histogramIterator = histogram->Begin(); | |||
while( histogramIterator != histogram->End() ) | |||
{ | |||
std::cout << "Index = " << histogram->GetIndex(histogramIterator.GetMeasurementVector()) | |||
<< " Histogram cell center = " << histogramIterator.GetMeasurementVector() | |||
<< " Frequency = " << histogramIterator.GetFrequency() << std::endl; | |||
++histogramIterator ; | |||
} | } | ||
std::cout << std::endl; | |||
HistogramType::MeasurementVectorType mv(3); | |||
mv[0] = 255; | |||
mv[1] = 0; | |||
mv[2] = 0; | |||
std::cout << "Frequency = " << histogram->GetFrequency(histogram->GetIndex(mv)) << std::endl; | |||
return EXIT_SUCCESS; | return EXIT_SUCCESS; | ||
} | } | ||
void CreateImage(RGBImageType::Pointer image) | void CreateImage(RGBImageType::Pointer image) | ||
{ | { | ||
// Create a black image with a red square and a green square. | // Create a black image with a red square and a green square. | ||
// This should produce a histogram with very strong spikes. | // This should produce a histogram with very strong spikes. | ||
RGBImageType::SizeType size; | RGBImageType::SizeType size; | ||
size[0] = 3; | |||
size[1] = 3; | |||
RGBImageType::IndexType start; | RGBImageType::IndexType start; | ||
start[0] = 0; | start[0] = 0; | ||
start[1] = 0; | start[1] = 0; | ||
RGBImageType::RegionType region; | |||
region.SetIndex(start); | region.SetIndex(start); | ||
region.SetSize(size); | region.SetSize(size); | ||
image->SetRegions(region); | image->SetRegions(region); | ||
image->Allocate(); | image->Allocate(); | ||
itk::ImageRegionIteratorWithIndex< RGBImageType > iterator( image, image->GetLargestPossibleRegion() ); | itk::ImageRegionIteratorWithIndex< RGBImageType > iterator( image, image->GetLargestPossibleRegion() ); | ||
iterator.GoToBegin(); | iterator.GoToBegin(); | ||
RGBPixelType | RGBPixelType redPixel; | ||
redPixel.SetRed(255); | |||
redPixel.SetGreen(0); | |||
while(! | redPixel.SetBlue(0); | ||
RGBPixelType blackPixel; | |||
blackPixel.SetRed(0); | |||
blackPixel.SetGreen(0); | |||
blackPixel.SetBlue(0); | |||
itk::ImageRegionIterator<RGBImageType> imageIterator(image,region); | |||
while(!imageIterator.IsAtEnd()) | |||
{ | { | ||
imageIterator.Set(blackPixel); | |||
++imageIterator; | |||
++ | |||
} | } | ||
RGBImageType::IndexType index; | |||
index[0] = 0; index[1] = 0; | |||
image->SetPixel(index, redPixel); | |||
index[0] = 1; index[1] = 0; | |||
image->SetPixel(index, redPixel); | |||
} | } | ||
</source> | </source> | ||
{{ITKCMakeLists|{{SUBPAGENAME}}}} | |||
Latest revision as of 22:26, 23 December 2012
Pending some bug fixes: http://public.kitware.com/Bug/view.php?id=11481 http://public.kitware.com/Bug/view.php?id=11480
ImageToHistogramFilter.cxx
<source lang="cpp">
- include "itkImageToHistogramFilter.h"
- include "itkImage.h"
- include "itkRGBPixel.h"
- include "itkImageRegionIteratorWithIndex.h"
- include <fstream>
typedef itk::RGBPixel<unsigned char> RGBPixelType; typedef itk::Image< RGBPixelType, 2> RGBImageType;
void CreateImage(RGBImageType::Pointer image);
int main(int, char *[]) {
const unsigned int MeasurementVectorSize = 3; // RGB RGBImageType::Pointer image = RGBImageType::New(); CreateImage(image); typedef itk::Statistics::ImageToHistogramFilter< RGBImageType > HistogramFilterType; typedef HistogramFilterType::HistogramMeasurementVectorType HistogramMeasurementVectorType; typedef HistogramFilterType::HistogramSizeType HistogramSizeType; typedef HistogramFilterType::HistogramType HistogramType; HistogramFilterType::Pointer filter = HistogramFilterType::New(); filter->SetInput(image); filter->SetAutoMinimumMaximum(true); HistogramSizeType histogramSize( MeasurementVectorSize ); histogramSize[0] = 2; // number of bins for the Red channel histogramSize[1] = 2; // number of bins for the Green channel histogramSize[2] = 2; // number of bins for the Blue channel filter->SetHistogramSize(histogramSize); filter->SetMarginalScale(10); // Required (could this be set in the filter?) filter->Update(); const HistogramType * histogram = filter->GetOutput(); HistogramType::ConstIterator histogramIterator = histogram->Begin(); while( histogramIterator != histogram->End() ) { std::cout << "Index = " << histogram->GetIndex(histogramIterator.GetMeasurementVector())
<< " Histogram cell center = " << histogramIterator.GetMeasurementVector() << " Frequency = " << histogramIterator.GetFrequency() << std::endl;
++histogramIterator ; } HistogramType::MeasurementVectorType mv(3); mv[0] = 255; mv[1] = 0; mv[2] = 0; std::cout << "Frequency = " << histogram->GetFrequency(histogram->GetIndex(mv)) << std::endl; return EXIT_SUCCESS;
}
void CreateImage(RGBImageType::Pointer image) {
// Create a black image with a red square and a green square. // This should produce a histogram with very strong spikes. RGBImageType::SizeType size; size[0] = 3; size[1] = 3; RGBImageType::IndexType start; start[0] = 0; start[1] = 0; RGBImageType::RegionType region; region.SetIndex(start); region.SetSize(size); image->SetRegions(region); image->Allocate(); itk::ImageRegionIteratorWithIndex< RGBImageType > iterator( image, image->GetLargestPossibleRegion() ); iterator.GoToBegin(); RGBPixelType redPixel; redPixel.SetRed(255); redPixel.SetGreen(0); redPixel.SetBlue(0); RGBPixelType blackPixel; blackPixel.SetRed(0); blackPixel.SetGreen(0); blackPixel.SetBlue(0); itk::ImageRegionIterator<RGBImageType> imageIterator(image,region); while(!imageIterator.IsAtEnd()) { imageIterator.Set(blackPixel); ++imageIterator; } RGBImageType::IndexType index; index[0] = 0; index[1] = 0; image->SetPixel(index, redPixel); index[0] = 1; index[1] = 0; image->SetPixel(index, redPixel);
} </source>
CMakeLists.txt
<syntaxhighlight lang="cmake"> cmake_minimum_required(VERSION 3.9.5)
project(ImageToHistogramFilter)
find_package(ITK REQUIRED) include(${ITK_USE_FILE}) if (ITKVtkGlue_LOADED)
find_package(VTK REQUIRED) include(${VTK_USE_FILE})
endif()
add_executable(ImageToHistogramFilter MACOSX_BUNDLE ImageToHistogramFilter.cxx)
if( "${ITK_VERSION_MAJOR}" LESS 4 )
target_link_libraries(ImageToHistogramFilter ITKReview ${ITK_LIBRARIES})
else( "${ITK_VERSION_MAJOR}" LESS 4 )
target_link_libraries(ImageToHistogramFilter ${ITK_LIBRARIES})
endif( "${ITK_VERSION_MAJOR}" LESS 4 )
</syntaxhighlight>
Download and Build ImageToHistogramFilter
Click here to download ImageToHistogramFilter and its CMakeLists.txt file. Once the tarball ImageToHistogramFilter.tar has been downloaded and extracted,
cd ImageToHistogramFilter/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:
./ImageToHistogramFilter
WINDOWS USERS PLEASE NOTE: Be sure to add the ITK bin directory to your path. This will resolve the 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.