ITK  4.13.0
Insight Segmentation and Registration Toolkit
SphinxExamples/src/Numerics/Statistics/ComputeHistogramFromGrayscaleImage/Code.cxx
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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"
int main(int argc, char* argv[])
{
if( argc != 3 )
{
std::cerr << argv[0] << "InputFileName NumberOfBins" << std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
typedef unsigned char PixelType;
const unsigned int MeasurementVectorSize = 1; // Grayscale
const unsigned int binsPerDimension =
static_cast< unsigned int >( atoi( argv[2] ) );
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
ImageType::Pointer image = reader->GetOutput();
ImageToHistogramFilterType;
ImageToHistogramFilterType::HistogramType::MeasurementVectorType
lowerBound(binsPerDimension);
lowerBound.Fill(0);
ImageToHistogramFilterType::HistogramType::MeasurementVectorType
upperBound(binsPerDimension);
upperBound.Fill(255) ;
size(MeasurementVectorSize);
size.Fill(binsPerDimension);
ImageToHistogramFilterType::Pointer imageToHistogramFilter =
ImageToHistogramFilterType::New();
imageToHistogramFilter->SetInput( image );
imageToHistogramFilter->SetHistogramBinMinimum( lowerBound );
imageToHistogramFilter->SetHistogramBinMaximum( upperBound );
imageToHistogramFilter->SetHistogramSize( size );
try
{
imageToHistogramFilter->Update();
}
catch( itk::ExceptionObject & error )
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
ImageToHistogramFilterType::HistogramType* histogram =
imageToHistogramFilter->GetOutput();
std::cout << "Frequency = [ ";
for(unsigned int i = 0; i < histogram->GetSize()[0]; ++i)
{
std::cout << histogram->GetFrequency(i);
if( i != histogram->GetSize()[0] - 1 )
{
std::cout << "," << std::endl;
}
}
std::cout << " ]" << std::endl;
return EXIT_SUCCESS;
}