active shape model avec C++ et ITK

j'essaye de programmer l'active shape model avec du c++, pour cela je fais appel aux classes itkactiveshapemodelcalculator, itkactiveshapemodelgradientsearch, mon programme compile bien, mais quand je l'execute, il me sort une exeption disant qu'il ne trouve pas l'image alors que l'image est mis dans le dossier debug.

vous pouvez trouvez mon code ici, et si vous voyez ce qui ne va pas, dites le moi svp:
Code:
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#include "itkActiveShapeModelCalculator.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageSeriesReader.h"
#include "itkNumericSeriesFileNames.h"
#include "itkBMPImageIO.h"
#include "itkPNGImageIO.h"
#include "itkArray.h"
#include "itkActiveShapeModelGradientSearchMethod.h"
#include <iostream>
 
 
using namespace std;
 
 
int main( int argc, char * argv[] )
{
 
	typedef unsigned char           InputPixelType;
	typedef itk::Image < InputPixelType,  3 >      InputVolumeType;
	typedef itk::Image< unsigned char, 2 >    Image2DType;
 
 
	 typedef itk::ImageFileReader<Image2DType> ReaderType;
	ReaderType::Pointer reader= ReaderType::New();
 
	Image2DType::ConstPointer inputImage;
	const char * filename = argv[1];
	reader->SetFileName( filename );
	reader->Update();
 
	inputImage=reader->GetOutput();
 
	typedef itk::ActiveShapeModelCalculator< InputVolumeType > ASMCalculatorType;
	typedef itk::ImageSeriesReader< InputVolumeType > SeriesReaderType;
	typedef itk::NumericSeriesFileNames          NameGeneratorType;
	//DicomIOType::Pointer dicomIO = DicomIOType::New();
 
	// read 2D images and construct a volume
	SeriesReaderType::Pointer seriesReader = SeriesReaderType::New();
 
 
 
	NameGeneratorType::Pointer nameGenerator = NameGeneratorType::New();
	nameGenerator->SetSeriesFormat( filename);
	//nameGenerator->
 
	nameGenerator->SetStartIndex(1);
	nameGenerator->SetEndIndex(2);
	nameGenerator->SetIncrementIndex( 1 );
	seriesReader->SetFileNames( nameGenerator->GetFileNames()); 
	seriesReader->SetImageIO( itk::BMPImageIO::New() );
 
	ASMCalculatorType::Pointer asm_calculator = ASMCalculatorType::New();
	try
	{
		seriesReader->Update();
	}
	catch ( itk::ExceptionObject & err )
	{
		cout << "Exception Object caught HNA!" << endl;
		cerr << err << endl;
		return EXIT_FAILURE;
	}
 
	asm_calculator->SetImage( seriesReader->GetOutput() );
 
	try
	{
 
		asm_calculator->GenerateData();
	}
	catch ( itk::ExceptionObject & err )
	{
		std::cerr << "Exception Object caught!" << std::endl;
		std::cerr << err << std::endl;
		return EXIT_FAILURE;
	}
 
	itk::Array<double> meanShape;
 
	meanShape = asm_calculator->GetMeanShape();
	vnl_vector<double> eigenValues  =  asm_calculator->GetEigenvalues();
	vnl_matrix<double> eigenVectors =  asm_calculator->GetEigenvector();
 
	for ( unsigned int i=0; i<meanShape.GetNumberOfElements(); i++ )
	{
		std::cout << i << ": " << meanShape.GetElement(i) << std::endl;
	}
 
 
	  //Print the eigen values and eigen vectors
	  std::cout << "Vecteurs Propres:" << std::endl;
 
	  for(unsigned int i = 0; i < eigenVectors.rows(); i++) 
	  {
		  std::cout<< eigenVectors.get_row(i)<<" ";
	  }    std::cout <<""<<std::endl;
 
	  cout << "Valeurs Propres:" << endl;
	  cout << eigenValues << endl;
 
 
	  typedef itk::ActiveShapeModelGradientSearchMethod< Image2DType> ImageSearchType;
	  ImageSearchType::Pointer 
		  ImageSearch = ImageSearchType::New();
	  const unsigned int m_LenghtOfProfile            = 3;
	  const unsigned int m_NumberOfIteration          = 2;
	    typedef itk::ImageFileReader< Image2DType  >  Reader2DType;
		  Reader2DType::Pointer reader1 = Reader2DType::New();
 
		  const char * input2DFilename  = argv[2];
		  reader1->SetFileName( input2DFilename  );
		  reader1->Update( );
		    ImageSearch->SetImage( reader1->GetOutput() );
 
 
			//----------------------------------------------------------------------
			//Set the parameters ActiveShapeModelSearchingImageFilter
			//----------------------------------------------------------------------
				  ImageSearch->SetLenghtOfProfile( m_LenghtOfProfile );
			  ImageSearch->SetNumberOfIteration( m_NumberOfIteration );
			    ImageSearch->SetMeanShape( asm_calculator->GetMeanShape() + 0.5);
				  ImageSearch->SetEigenValues( asm_calculator->GetEigenvalues() );
				    ImageSearch->SetEigenVectors( asm_calculator->GetEigenvector() );
					cout<<"hani hna"<<endl;
 
					  ImageSearch->GenerateData();
 
					  cout<<"hani hna2"<<endl;
					    //Test the printself function to increase coverage
					    ImageSearch->Print(std::cout);
 
						  //Exercise TypeMacro in superclass
						  typedef ImageSearchType::Superclass GenericEstimator2Type;
						    std::cout << ImageSearch->GenericEstimator2Type::GetNameOfClass() << std::endl;
 
 
						cout << "The new shape: " <<
 
								ImageSearch->GetNewShape() <<endl;
 
 
							  // Software Guide : BeginCodeSnippet
							  // Software Guide : EndCodeSnippet
 
 
							  return EXIT_SUCCESS;
 
}