ITK  4.13.0
Insight Segmentation and Registration Toolkit
SphinxExamples/src/Filtering/Smoothing/ApplyMeanFilter/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 != 4 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " <InputImageFile> <OutputImageFile> <radius>"
<< std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
const char * inputFileName = argv[1];
const char * outputFileName = argv[2];
const int radiusValue = atoi( argv[3] );
typedef unsigned char PixelType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( inputFileName );
FilterType::Pointer meanFilter = FilterType::New();
FilterType::InputSizeType radius;
radius.Fill( radiusValue );
meanFilter->SetRadius( radius );
meanFilter->SetInput( reader->GetOutput() );
WriterType::Pointer writer = WriterType::New();
writer->SetInput( meanFilter->GetOutput() );
writer->SetFileName( outputFileName );
try
{
writer->Update();
}
catch( itk::ExceptionObject & error )
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}