/*=========================================================================
 *
 *  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 "itkGradientRecursiveGaussianImageFilter.h"


int itkGradientRecursiveGaussianFilterSpeedTest(int argc, char* argv[] )
{
  if( argc != 3 )
    {
    std::cerr << "usage: size reps" << std::endl;
    return EXIT_FAILURE;
    }

  int imageSize = atoi( argv[1] );
  int reps = atoi( argv[2] );

  std::cout << "imageSize: " << imageSize << " reps: " << reps << std::endl;

  // Define the dimension of the images
  const unsigned int myDimension = 3;

  // Declare the types of the images
  typedef itk::Image<float, myDimension>           myImageType;

  // Declare the type of the index to access images
  typedef itk::Index<myDimension>             myIndexType;

  // Declare the type of the size
  typedef itk::Size<myDimension>              mySizeType;

  // Declare the type of the Region
  typedef itk::ImageRegion<myDimension>        myRegionType;

  // Create the image
  myImageType::Pointer inputImage  = myImageType::New();


  // Define their size, and start index
  mySizeType size;
  size[0] = imageSize;
  size[1] = imageSize;
  size[2] = imageSize;

  myIndexType start;
  start.Fill(0);

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

  // Initialize Image A
  inputImage->SetLargestPossibleRegion( region );
  inputImage->SetBufferedRegion( region );
  inputImage->SetRequestedRegion( region );
  inputImage->Allocate();

  // Declare Iterator type for the input image
  typedef itk::ImageRegionIteratorWithIndex<myImageType>  myIteratorType;

  // Create one iterator for the Input Image A (this is a light object)
  myIteratorType it( inputImage, inputImage->GetRequestedRegion() );

  // Initialize the content of Image A
  while( !it.IsAtEnd() )
    {
    it.Set( 0.0 );
    ++it;
    }

  size.Fill( imageSize - 4 );

  start[0] = 2;
  start[1] = 2;
  start[2] = 2;

  // Create one iterator for an internal region
  myRegionType innerRegion;
  innerRegion.SetSize( size );
  innerRegion.SetIndex( start );
  myIteratorType itb( inputImage, innerRegion );

  // Initialize the content the internal region
  while( !itb.IsAtEnd() )
    {
    itb.Set( 100.0 );
    ++itb;
    }

  // Declare the type for the
  typedef itk::GradientRecursiveGaussianImageFilter< myImageType >  myFilterType;

  typedef myFilterType::OutputImageType myGradientImageType;


  // Create a  Filter
  myFilterType::Pointer filter = myFilterType::New();


  // Connect the input images
  filter->SetInput( inputImage );


  // loop
  for( int i=0; i < reps; i++ )
    {
    // Select the value of Sigma
    filter->SetSigma( 2.5 + reps/100.0 );

    // Execute the filter
    filter->Update();
    }

  if( reps > 0 )
    {
    // Get the Smart Pointer to the Filter Output
    // It is important to do it AFTER the filter is Updated
    // Because the object connected to the output may be changed
    // by another during GenerateData() call
    myGradientImageType::Pointer outputImage = filter->GetOutput();

    // Declare Iterator type for the output image
    typedef itk::ImageRegionIteratorWithIndex<myGradientImageType>  myOutputIteratorType;

    // Create an iterator for going through the output image
    myOutputIteratorType itg( outputImage, outputImage->GetRequestedRegion() );

    //  Print the content of the result image
    std::cout << " Result " << std::endl;
    itg.GoToBegin();
    std::cout << itg.Get();
    std::cout << std::endl;
    }

  return EXIT_SUCCESS;
}
