File: itkNeighborhoodOperatorImageFunctionTest.cxx

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/*=========================================================================
 *
 *  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 "itkNeighborhoodOperatorImageFunction.h"

#include "itkGaussianOperator.h"

int itkNeighborhoodOperatorImageFunctionTest(int, char* [] )
{

  const unsigned int Dimension = 3;
  typedef float                                   PixelType;
  typedef itk::Image< PixelType, Dimension >      ImageType;
  typedef itk::GaussianOperator<PixelType,3>      NeighborhoodOperatorType;
  typedef itk::NeighborhoodOperatorImageFunction< ImageType,PixelType>
                                                  FunctionType;

  // Create and allocate the image
  ImageType::Pointer      image = ImageType::New();
  ImageType::SizeType     size;
  ImageType::IndexType    start;
  ImageType::RegionType   region;

  size[0] = 50;
  size[1] = 50;
  size[2] = 50;

  start.Fill( 0 );

  region.SetIndex( start );
  region.SetSize( size );

  image->SetRegions( region );
  image->Allocate();

  ImageType::PixelType initialValue = 27;
  image->FillBuffer( initialValue );


  FunctionType::Pointer function = FunctionType::New();
  function->SetInputImage( image );

  NeighborhoodOperatorType* oper= new NeighborhoodOperatorType;
  oper->CreateToRadius(3);

  function->SetOperator(*oper);
  delete oper;

  itk::Index<3>    index;
  index.Fill(25);

  FunctionType::OutputType  Blur;

  std::cout << "EvaluateAtIndex: ";
  Blur = function->EvaluateAtIndex( index );

  // since the input image is constant
  // the should be equal to the initial value
  if( itk::Math::abs( initialValue - Blur ) > 10e-7 )
    {
    std::cerr << "[FAILED] : Error in Blur computation" << std::endl;
    return EXIT_FAILURE;
    }
  std::cout << "[PASSED] " << std::endl;

  std::cout << "EvaluateAtContinuousIndex: ";

  FunctionType::ContinuousIndexType continuousIndex;
  continuousIndex.Fill(25);

  function->EvaluateAtContinuousIndex( continuousIndex );

  std::cout << "[PASSED] " << std::endl;

  std::cout << "EvaluateAtPoint: ";

  FunctionType::PointType point;
  point[0]=25;
  point[1]=25;
  point[2]=25;

  function->Evaluate( point );

  std::cout << "[PASSED] " << std::endl;


  std::cout << function << std::endl;

  std::cout << "[TEST DONE] " << std::endl;
  return EXIT_SUCCESS;

}