ITK  5.2.0
Insight Toolkit
SphinxExamples/src/Filtering/ImageStatistics/StatisticalPropertiesOfRegions/Code.cxx
/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkImage.h"
using ImageType = itk::Image<unsigned char, 2>;
static void
CreateImage(ImageType::Pointer image);
int
main(int, char *[])
{
ImageType::Pointer image = ImageType::New();
CreateImage(image);
using BinaryImageToLabelMapFilterType = itk::BinaryImageToLabelMapFilter<ImageType>;
BinaryImageToLabelMapFilterType::Pointer binaryImageToLabelMapFilter = BinaryImageToLabelMapFilterType::New();
binaryImageToLabelMapFilter->SetInput(image);
binaryImageToLabelMapFilter->Update();
using LabelMapToLabelImageFilterType =
LabelMapToLabelImageFilterType::Pointer labelMapToLabelImageFilter = LabelMapToLabelImageFilterType::New();
labelMapToLabelImageFilter->SetInput(binaryImageToLabelMapFilter->GetOutput());
labelMapToLabelImageFilter->Update();
using LabelStatisticsImageFilterType = itk::LabelStatisticsImageFilter<ImageType, ImageType>;
LabelStatisticsImageFilterType::Pointer labelStatisticsImageFilter = LabelStatisticsImageFilterType::New();
labelStatisticsImageFilter->SetLabelInput(labelMapToLabelImageFilter->GetOutput());
labelStatisticsImageFilter->SetInput(image);
labelStatisticsImageFilter->Update();
std::cout << "Number of labels: " << labelStatisticsImageFilter->GetNumberOfLabels() << std::endl;
std::cout << std::endl;
using LabelPixelType = LabelStatisticsImageFilterType::LabelPixelType;
for (auto vIt = labelStatisticsImageFilter->GetValidLabelValues().begin();
vIt != labelStatisticsImageFilter->GetValidLabelValues().end();
++vIt)
{
if (labelStatisticsImageFilter->HasLabel(*vIt))
{
LabelPixelType labelValue = *vIt;
std::cout << "min: " << labelStatisticsImageFilter->GetMinimum(labelValue) << std::endl;
std::cout << "max: " << labelStatisticsImageFilter->GetMaximum(labelValue) << std::endl;
std::cout << "median: " << labelStatisticsImageFilter->GetMedian(labelValue) << std::endl;
std::cout << "mean: " << labelStatisticsImageFilter->GetMean(labelValue) << std::endl;
std::cout << "sigma: " << labelStatisticsImageFilter->GetSigma(labelValue) << std::endl;
std::cout << "variance: " << labelStatisticsImageFilter->GetVariance(labelValue) << std::endl;
std::cout << "sum: " << labelStatisticsImageFilter->GetSum(labelValue) << std::endl;
std::cout << "count: " << labelStatisticsImageFilter->GetCount(labelValue) << std::endl;
// std::cout << "box: " << labelStatisticsImageFilter->GetBoundingBox( labelValue ) << std::endl; // can't output
// a box
std::cout << "region: " << labelStatisticsImageFilter->GetRegion(labelValue) << std::endl;
std::cout << std::endl << std::endl;
}
}
return EXIT_SUCCESS;
}
void
CreateImage(ImageType::Pointer image)
{
// Create a black image with a white square
start.Fill(0);
size.Fill(20);
region.SetSize(size);
region.SetIndex(start);
image->SetRegions(region);
image->Allocate();
itk::ImageRegionIterator<ImageType> imageIterator(image, image->GetLargestPossibleRegion());
// Make a square
while (!imageIterator.IsAtEnd())
{
if ((imageIterator.GetIndex()[0] > 5 && imageIterator.GetIndex()[0] < 10) &&
(imageIterator.GetIndex()[1] > 5 && imageIterator.GetIndex()[1] < 10))
{
imageIterator.Set(255);
}
else
{
imageIterator.Set(0);
}
++imageIterator;
}
using WriterType = itk::ImageFileWriter<ImageType>;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName("image.png");
writer->SetInput(image);
writer->Update();
}
itk::GTest::TypedefsAndConstructors::Dimension2::SizeType
ImageBaseType::SizeType SizeType
Definition: itkGTestTypedefsAndConstructors.h:49
itkImage.h
itkLabelStatisticsImageFilter.h
itkImageRegionIterator.h
itk::Index::Fill
void Fill(IndexValueType value)
Definition: itkIndex.h:270
itk::BinaryImageToLabelMapFilter
Label the connected components in a binary image and produce a collection of label objects.
Definition: itkBinaryImageToLabelMapFilter.h:56
itk::Size::Fill
void Fill(SizeValueType value)
Definition: itkSize.h:211
itk::ImageRegionIterator
A multi-dimensional iterator templated over image type that walks a region of pixels.
Definition: itkImageRegionIterator.h:80
itk::GTest::TypedefsAndConstructors::Dimension2::IndexType
ImageBaseType::IndexType IndexType
Definition: itkGTestTypedefsAndConstructors.h:50
itk::ImageFileWriter
Writes image data to a single file.
Definition: itkImageFileWriter.h:87
itk::GTest::TypedefsAndConstructors::Dimension2::RegionType
ImageBaseType::RegionType RegionType
Definition: itkGTestTypedefsAndConstructors.h:54
itk::LabelStatisticsImageFilter
Given an intensity image and a label map, compute min, max, variance and mean of the pixels associate...
Definition: itkLabelStatisticsImageFilter.h:62
itkBinaryImageToLabelMapFilter.h
itk::ImageRegionIterator::Set
void Set(const PixelType &value) const
Definition: itkImageRegionIterator.h:116
itkImageFileWriter.h
itk::LabelMapToLabelImageFilter
Converts a LabelMap to a labeled image.
Definition: itkLabelMapToLabelImageFilter.h:47
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:86
itkLabelMapToLabelImageFilter.h
itk::ImageRegion::SetSize
void SetSize(const SizeType &size)
Definition: itkImageRegion.h:174