/**********************************
*evaluation.cxx
*Evaluation Software
*
*This program will compare the "gold standard" deformation
*with the estimated error.  
*
*
*Input:
*      deformation norm image
*      error estimation image
*
*
*output:  % of outliers
*  An outlier is defined as a point whose value is different 
*  from "gold standard" by 2mm or more.
*         
* Authors: Eric Billet, Andriy Fedorov 
* PI: Nikos Chrisochoides
***********************************/
/*
Copyright (c) 2008 College of William and Mary
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

   * Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
   * Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
   * Neither the name of the College of William and Mary nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/



#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkImageFileReader.h"


	typedef float        InputPixelType;
	typedef itk::Image< InputPixelType, 3 >    InputImageType;
	typedef itk::ImageFileReader< InputImageType  >  ReaderType;
	typedef itk::ImageRegionConstIterator< InputImageType>        IteratorTypeC;

int main( int argc, char ** argv )
{
	
  // Verify the number of parameters in the command line
  if( argc < 4 )
    {
      std::cerr << "Usage: " << std::endl;
      std::cerr << argv[0] << "[ldmap][df_norm][edges1][edges2]" << std::endl;
      return EXIT_FAILURE;
    }

  
  ReaderType::Pointer readerDF = ReaderType::New();
  readerDF->SetFileName(argv[2]);
  readerDF->Update();
  ReaderType::Pointer reader_ld_map = ReaderType::New();
  reader_ld_map->SetFileName(argv[1]);
  reader_ld_map->Update();
  ReaderType::Pointer reader_edges2 = ReaderType::New();
  reader_edges2->SetFileName(argv[4]);
  reader_edges2->Update();
  ReaderType::Pointer reader_edges1 = ReaderType::New();
  reader_edges1->SetFileName(argv[3]);
  reader_edges1->Update();



  IteratorTypeC F_edgeIt(reader_edges1->GetOutput(), reader_edges1->GetOutput()->GetRequestedRegion());
  IteratorTypeC G_edgeIt(reader_edges2->GetOutput(), reader_edges2->GetOutput()->GetRequestedRegion()); 
  IteratorTypeC LDIt(reader_ld_map->GetOutput(), reader_ld_map->GetOutput()->GetRequestedRegion());
  IteratorTypeC DFmapIt(readerDF->GetOutput(), readerDF->GetOutput()->GetRequestedRegion());

  int outlier=0,count=0,under_outlier=0,under=0;
		
   //iterate through images
  for(F_edgeIt.GoToBegin(),G_edgeIt.GoToBegin(), LDIt.GoToBegin(), DFmapIt.GoToBegin(); !F_edgeIt.IsAtEnd(); ++F_edgeIt,++G_edgeIt, ++LDIt, ++DFmapIt){
    if((F_edgeIt.Get() || G_edgeIt.Get()) && DFmapIt.Get()){

      double dist = DFmapIt.Get();
      double est = LDIt.Get();
      if(est >=0){
            //difference is the accuracy of the local distance map	
	 double diff = fabs(est-fabs(dist));

	//compute outlier %
	if(diff>2){
	  outlier++;
          if(fabs(dist)>est)
	    under_outlier++;
	}
        if(fabs(dist)>est)
          under++;	
	count++;
      }
    }
  }

 std::cout<<"outlier underestimate underestimate_outliers"<<std::endl;
 std::cout<<double(outlier)/double(count)<<" ";
 std::cout<<double(under)/double(count)<<" ";
 std::cout<<double(under_outlier)/double(outlier)<<" ";

return 0;	
}