ITK  6.0.0
Insight Toolkit
SphinxExamples/src/Filtering/ImageStatistics/ComputeMinMaxVarianceMeanOfImage/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
*
* https://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 itkNotUsed(argc), char * itkNotUsed(argv)[])
{
auto image = ImageType::New();
CreateImage(image);
using StatisticsImageFilterType = itk::StatisticsImageFilter<ImageType>;
auto statisticsImageFilter = StatisticsImageFilterType::New();
statisticsImageFilter->SetInput(image);
statisticsImageFilter->Update();
std::cout << "Mean: " << statisticsImageFilter->GetMean() << std::endl;
std::cout << "Std.: " << statisticsImageFilter->GetSigma() << std::endl;
std::cout << "Min: " << statisticsImageFilter->GetMinimum() << std::endl;
std::cout << "Max: " << statisticsImageFilter->GetMaximum() << std::endl;
return EXIT_SUCCESS;
}
void
CreateImage(ImageType::Pointer image)
{
// Create an image with 2 connected components
start[0] = 0;
start[1] = 0;
unsigned int NumRows = 200;
unsigned int NumCols = 300;
size[0] = NumRows;
size[1] = NumCols;
region.SetSize(size);
region.SetIndex(start);
image->SetRegions(region);
image->Allocate();
// Make a square
for (unsigned int r = 20; r < 80; ++r)
{
for (unsigned int c = 30; c < 100; ++c)
{
pixelIndex[0] = r;
pixelIndex[1] = c;
image->SetPixel(pixelIndex, 255);
}
}
// Make another square
for (unsigned int r = 100; r < 130; ++r)
{
for (unsigned int c = 115; c < 160; ++c)
{
pixelIndex[0] = r;
pixelIndex[1] = c;
image->SetPixel(pixelIndex, 255);
}
}
}
Pointer
SmartPointer< Self > Pointer
Definition: itkAddImageFilter.h:93
itkStatisticsImageFilter.h
itk::GTest::TypedefsAndConstructors::Dimension2::SizeType
ImageBaseType::SizeType SizeType
Definition: itkGTestTypedefsAndConstructors.h:49
itkImage.h
itk::GTest::TypedefsAndConstructors::Dimension2::IndexType
ImageBaseType::IndexType IndexType
Definition: itkGTestTypedefsAndConstructors.h:50
itk::GTest::TypedefsAndConstructors::Dimension2::RegionType
ImageBaseType::RegionType RegionType
Definition: itkGTestTypedefsAndConstructors.h:54
itk::Size::SetSize
void SetSize(const SizeValueType val[VDimension])
Definition: itkSize.h:179
itk::StatisticsImageFilter
Compute min, max, variance and mean of an Image.
Definition: itkStatisticsImageFilter.h:55
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:88
New
static Pointer New()