/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Language:  C++

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif

#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif


//  Software Guide : BeginLatex
//
//  This example illustrates the use of Mathematical Morphology filters for
//  image enhancement. One of the difficulties of image enhancement is that it
//  is defined based on human visual perception and it is related to a
//  particular set of features that are of interest in the image. In this
//  context, what is considered enhancement for one person, may be seen as
//  image degradation by another person.
//  
//  \index{itk::AntiAliasBinaryImageFilter|textbf}
//
//  Software Guide : EndLatex 


// Software Guide : BeginCodeSnippet

#include "itkImage.h"
#include "itkPNGImageIO.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"

#include "itkGrayscaleMorphologicalOpeningImageFilter.h"
#include "itkGrayscaleMorphologicalClosingImageFilter.h"
#include "itkBinaryBallStructuringElement.h" 

#include "itkConstrainedValueAdditionImageFilter.h"
#include "itkConstrainedValueDifferenceImageFilter.h"

#include "itkRescaleIntensityImageFilter.h"

int main( int argc, char * argv[] )
{
  if( argc < 4 )
    {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << "  inputImageFile  ";
    std::cerr << " outputImageFile radius " << std::endl;
    return EXIT_FAILURE;
  }


  //
  //  The following code defines the input and output pixel types and their
  //  associated image types.
  //
  const unsigned int Dimension = 2;
  
  typedef unsigned char   PixelType;
  typedef unsigned char   WritePixelType;

  typedef itk::Image< PixelType,  Dimension >       ImageType;
    typedef itk::Image< WritePixelType, Dimension > WriteImageType;

  // readers/writers
  typedef itk::ImageFileReader< ImageType  >     ReaderType;
  typedef itk::ImageFileWriter< WriteImageType > WriterType;

  // structuring element
  typedef itk::BinaryBallStructuringElement< 
                    PixelType,
                    Dimension  >             StructuringElementType;

// define the opening and closing types
  typedef itk::GrayscaleMorphologicalOpeningImageFilter<
                            ImageType,
                            ImageType,
                            StructuringElementType >  OpeningFilterType;

  typedef itk::GrayscaleMorphologicalClosingImageFilter<
                            ImageType, 
                            ImageType, 
                            StructuringElementType >  ClosingFilterType;
  
  // define arithmetic operation filters
  typedef itk::ConstrainedValueAdditionImageFilter<
                          ImageType,
              ImageType,
              ImageType > AdditionFilterType;

  typedef itk::ConstrainedValueDifferenceImageFilter<
                          ImageType,
              ImageType,
              ImageType > SubtractionFilterType;

  // define rescaling filter
  typedef itk::RescaleIntensityImageFilter<
                          ImageType,
              WriteImageType>    RescaleFilterType;

  // Creation of Reader and Writer filters
  ReaderType::Pointer reader = ReaderType::New();
  WriterType::Pointer writer  = WriterType::New();
  
  // Creation of rescale filter
  RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();

  // Creation of the Top Hat, Bottom Hat, Internal Addition, and Image Enhacement Filters
  SubtractionFilterType::Pointer  topHat           = SubtractionFilterType::New();
  SubtractionFilterType::Pointer  bottomHat        = SubtractionFilterType::New();
  SubtractionFilterType::Pointer  imageEnhancement = SubtractionFilterType::New();
  AdditionFilterType::Pointer      internalAddition = AdditionFilterType::New();

  // Create the opening closing filters
  OpeningFilterType::Pointer  opening  = OpeningFilterType::New();
  ClosingFilterType::Pointer  closing  = ClosingFilterType::New();

  // Create structuring element
  StructuringElementType  structuringElement;

  structuringElement.SetRadius( atoi(argv[3]) );  // (argv[3]+1) x (argv[3]+1) structuring element

  structuringElement.CreateStructuringElement();

  // Setup the input and output files
  reader->SetFileName( argv[1] );
  writer->SetFileName( argv[2] );

  // reading input image
  try
    {
    reader->Update();
    }
  catch ( itk::ExceptionObject &err)
    {
  std::cout<<"Problems reading input image"<<std::endl;
    std::cerr << "ExceptionObject caught !" << std::endl;
    std::cerr << err << std::endl; 
    return EXIT_FAILURE;
    }
  
  // Setup the opening and closing methods
  opening->SetKernel(  structuringElement );
  closing->SetKernel(  structuringElement );

  // Setup minnimum and maximum of rescale filter
  rescaleFilter->SetOutputMinimum( 0 );
  rescaleFilter->SetOutputMaximum( 255 );


  // creation of the pipeline. The enhancement operation is given by:
  // Original Image + Top Hat Image - Bottom Hat Image
  opening->SetInput(           reader->GetOutput()           );
  closing->SetInput(           reader->GetOutput()           );
  topHat->SetInput1(           reader->GetOutput()           );
  topHat->SetInput2(           opening->GetOutput()          );
  bottomHat->SetInput1(        closing->GetOutput()          );
  bottomHat->SetInput2(        reader->GetOutput()           );
  internalAddition->SetInput1( reader->GetOutput()           );
  internalAddition->SetInput2( topHat->GetOutput()           );
  imageEnhancement->SetInput1( internalAddition->GetOutput() );
  imageEnhancement->SetInput2( bottomHat->GetOutput()        );
  rescaleFilter->SetInput(     imageEnhancement->GetOutput() );
  writer->SetInput(            rescaleFilter->GetOutput()    );
  
  try
    {
    writer->Update();
    }
  catch( itk::ExceptionObject & err )
    {
    std::cout<<"ExceptionObject caught !"<<std::endl;
    std::cout<< err <<std::endl;
    return EXIT_FAILURE;
    }
  
  return EXIT_SUCCESS;

}

