typename TInputImage::Pointer SegmentationIntensityAndTextureImages<TInputImage>::getIntensityImage()
{
    typedef itk::HistogramEqualizationFilter<ImageType,ImageType> EqualizationFilterType;
    
    typename EqualizationFilterType::Pointer equalizationFilter = EqualizationFilterType::New(); 
    equalizationFilter->SetInput(inputImage);
    equalizationFilter->Update();
    
    typedef itk::GradientAnisotropicDiffusionImageFilter<ImageType,ImageType> AnisotropicFilterType;
    
    typename AnisotropicFilterType::Pointer anisotropicFilter = AnisotropicFilterType::New();
    anisotropicFilter->SetInput(equalizationFilter->GetOutput());
    anisotropicFilter->SetNumberOfIterations(25);
    anisotropicFilter->SetTimeStep(timeStep);
    anisotropicFilter->SetConductanceParameter(3);
    anisotropicFilter->Update();
    
    typename RescaleFilterType::Pointer normalizeFilter = RescaleFilterType::New();
    normalizeFilter->SetOutputMaximum(255);
    normalizeFilter->SetOutputMinimum(0);
    normalizeFilter->SetInput(anisotropicFilter->GetOutput());
    normalizeFilter->Update();     
    
    return normalizeFilter->GetOutput();
    
}
void SegmentationIntensityAndTextureImages<TInputImage>::setInput(ImageType* image)
{
    typename RescaleFilterType::Pointer normalizeFilter = RescaleFilterType::New();
    normalizeFilter->SetOutputMaximum(255);
    normalizeFilter->SetOutputMinimum(0);
    normalizeFilter->SetInput(image);
    normalizeFilter->Update();   
    
    this->inputImage = normalizeFilter->GetOutput();
    
    this->timeStep = 0.125;
}
typename TInputImage::Pointer SegmentationIntensityAndTextureImages<TInputImage>::getTextureImage()
{    
    typedef itk::ScalarToTextureRLImageFilter<ImageType,ImageType> FilterType;
    
    typename FilterType::Pointer textureFilter = FilterType::New();
    textureFilter->SetInput(inputImage);
    textureFilter->SetTextureFeature(8);
    
    typename FilterType::RegionSizeType size;
    size.Fill(13);
   
    textureFilter->SetRegionSize(size);
    textureFilter->Update();
    
    typename RescaleFilterType::Pointer normalizeFilter = RescaleFilterType::New();
    normalizeFilter->SetOutputMaximum(255);
    normalizeFilter->SetOutputMinimum(0);
    normalizeFilter->SetInput(textureFilter->GetOutput());
    normalizeFilter->Update();     
    
    return normalizeFilter->GetOutput();
    
}
    void operator()( const  Parameter &param )
    {
        OSLM_DEBUG( "itk::ImageSeriesWriter with PIXELTYPE "<<  fwTools::DynamicType::string<PIXELTYPE>() );

        ::fwData::Image::sptr image = param.m_dataImage;

        // VAG attention : ImageFileReader ne notifie AUCUNE progressEvent mais son ImageIO oui!!!! mais ImageFileReader ne permet pas de l'atteindre
        // car soit mis a la mano ou alors construit lors de l'Update donc trop tard
        // Il faut dont creer une ImageIO a la mano (*1*): affecter l'observation  sur IO (*2*) et mettre le IO dans le reader (voir *3*)

        // Reader IO (*1*)
        typename itk::ImageIOBase::Pointer imageIOWrite = itk::ImageIOFactory::CreateImageIO( "image.jpg", itk::ImageIOFactory::WriteMode);
        assert( imageIOWrite.IsNotNull() );

        // create writer
        typedef itk::Image< PIXELTYPE, 3> itkImageType;
        typedef itk::Image< unsigned char, 2 >      Image2DType;
        typedef typename  itk::ImageSeriesWriter< itkImageType, Image2DType > WriterType;
        typename WriterType::Pointer writer = WriterType::New();

        // set observation (*2*)
        itk::LightProcessObject::Pointer castHelper= (itk::LightProcessObject *)(imageIOWrite.GetPointer());
        assert( castHelper.IsNotNull() );
        Progressor progress(castHelper, param.m_fwWriter, param.m_filename);

        // create itk Image
        typename itkImageType::Pointer itkImage = ::fwItkIO::itkImageFactory<itkImageType>( image );

        typedef ::itk::IntensityWindowingImageFilter< itkImageType, itkImageType > RescaleFilterType;
        typename RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();

        double min, max;
        ::fwData::Composite::sptr poolTF;
        poolTF = image->getField< ::fwData::Composite>( ::fwComEd::Dictionary::m_transferFunctionCompositeId );
        if(poolTF)
        {
            ::fwData::Composite::iterator iter = poolTF->find(::fwData::TransferFunction::s_DEFAULT_TF_NAME);
            if(iter != poolTF->end())
            {
                ::fwData::TransferFunction::sptr tf;
                tf = ::fwData::TransferFunction::dynamicCast(iter->second);
                min = tf->getWLMinMax().first;
                max = tf->getWLMinMax().second;
            }
        }
        else
        {
            ::fwComEd::fieldHelper::MedicalImageHelpers::getMinMax(image, min, max);
        }

        rescaleFilter->SetWindowMinimum( min );
        rescaleFilter->SetWindowMaximum( max );
        rescaleFilter->SetOutputMinimum( 0 );
        rescaleFilter->SetOutputMaximum( 255 );
        rescaleFilter->InPlaceOff();
        rescaleFilter->SetInput( itkImage );
        rescaleFilter->Update();

        writer->SetInput( rescaleFilter->GetOutput() );

        typedef itk::NumericSeriesFileNames    NameGeneratorType;

        NameGeneratorType::Pointer nameGenerator = NameGeneratorType::New();

        std::string format = param.m_filename;
        format += "/%04d.jpg";
        nameGenerator->SetSeriesFormat( format.c_str() );
        nameGenerator->SetStartIndex( 1 );
        nameGenerator->SetEndIndex( image->getSize()[2] );
        nameGenerator->SetIncrementIndex( 1 );

        writer->SetFileNames( nameGenerator->GetFileNames() );

        writer->SetImageIO( imageIOWrite  );

        // save image;
        writer->Update();
    }