ITK  5.0.0
Insight Segmentation and Registration Toolkit
Examples/Filtering/AntiAliasBinaryImageFilter.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.
*
*=========================================================================*/
// Software Guide : BeginLatex
//
// This example introduces the use of the \doxygen{AntiAliasBinaryImageFilter}. This
// filter expect a binary mask as input, and using Level Sets it smooths the
// image by keeping the edge of the structure within 1 pixel distance from the
// original location. It is usually desirable to run this filter before
// extracting isocontour with surface extraction methods.
//
// \index{itk::AntiAliasBinaryImageFilter|textbf}
//
// Software Guide : EndLatex
// Software Guide : BeginLatex
//
// The first step required for using this filter is to include its header file
//
// \index{itk::AntiAliasBinaryImageFilter!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
int main(int argc, char* argv[])
{
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImage outputImageDoublePixelType ";
std::cerr << " outputImage8BitsPixelType [RMS] [numberOfIterations]" << std::endl;
return EXIT_FAILURE;
}
const char * inputFilename = argv[1];
const char * outputFilename1 = argv[2];
const char * outputFilename2 = argv[3];
double maximumRMSError = 0.01;
unsigned int numberOfIterations = 50;
if( argc > 4 )
{
maximumRMSError = std::stod( argv[4] );
}
if( argc > 5 )
{
numberOfIterations = std::stoi( argv[5] );
}
using CharPixelType = unsigned char; // IO
using RealPixelType = double; // Operations
constexpr unsigned int Dimension = 3;
using CharImageType = itk::Image<CharPixelType, Dimension>;
using RealImageType = itk::Image<RealPixelType, Dimension>;
using RealWriterType = itk::ImageFileWriter< RealImageType >;
// Software Guide : BeginLatex
//
// This filter operates on image of pixel type float. It is then necessary
// to cast the type of the input images that are usually of integer type.
// The \doxygen{CastImageFilter} is used here for that purpose. Its image
// template parameters are defined for casting from the input type to the
// float type using for processing.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using CastToRealFilterType = itk::CastImageFilter< CharImageType,
RealImageType>;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The \doxygen{AntiAliasBinaryImageFilter} is instantiated using the float image type.
//
// \index{itk::AntiAliasBinaryImageFilter|textbf}
//
// Software Guide : EndLatex
//Setting the IO
ReaderType::Pointer reader = ReaderType::New();
CastToRealFilterType::Pointer toReal = CastToRealFilterType::New();
RescaleFilter::Pointer rescale = RescaleFilter::New();
//Setting the ITK pipeline filter
// Software Guide : BeginCodeSnippet
AntiAliasFilterType::Pointer antiAliasFilter = AntiAliasFilterType::New();
reader->SetFileName( inputFilename );
//The output of an edge filter is 0 or 1
rescale->SetOutputMinimum( 0 );
rescale->SetOutputMaximum( 255 );
toReal->SetInput( reader->GetOutput() );
antiAliasFilter->SetInput( toReal->GetOutput() );
antiAliasFilter->SetMaximumRMSError( maximumRMSError );
antiAliasFilter->SetNumberOfIterations( numberOfIterations );
antiAliasFilter->SetNumberOfLayers( 2 );
RealWriterType::Pointer realWriter = RealWriterType::New();
realWriter->SetInput( antiAliasFilter->GetOutput() );
realWriter->SetFileName( outputFilename1 );
try
{
realWriter->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
WriterType::Pointer rescaledWriter = WriterType::New();
rescale->SetInput( antiAliasFilter->GetOutput() );
rescaledWriter->SetInput( rescale->GetOutput() );
rescaledWriter->SetFileName( outputFilename2 );
try
{
rescaledWriter->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
std::cout << "Completed in "
<< antiAliasFilter->GetNumberOfIterations() << std::endl;
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}