ADD gestion pente stats filter3

app/otbInvertSARModel.cxx

@@ -5,8 +5,8 @@
 //Stack
 #include "otbTensorflowSource.h"
 // Stats
-#include "otbStreamingStatisticsMapFromLabelImageFilter.h"
-#include "otbStreamingStatisticsMapFromLabelImageFilter2.h"
+//#include "otbStreamingStatisticsMapFromLabelImageFilter.h"
+#include "otbStreamingStatisticsMapFromLabelImageFilter3.h"
 
 // Tensorflow stuff
 #include "tensorflow/core/public/session.h"
@@ -194,7 +194,7 @@ private:
     
     //get count for each label
     StatsFilterType::LabelPopulationMapType countValues = m_StatsFilter->GetLabelPopulationMap();
-    StatsFilterType::VectorValidPixelsRatioMapType validRatioMap = m_StatsFilter->GetValidPixelsRatioMap();
+    StatsFilterType::PixelValueMapType validRatioMap = m_StatsFilter->GetValidPixelsRatioMap();
     
 //    for (const auto& entry: meanValues)
 //      std::cout << "Id:" << entry.first << ", value=" << entry.second << std::endl;

include/otbStreamingStatisticsMapFromLabelImageFilter3.h

+/*
+ * To change this license header, choose License Headers in Project Properties.
+ * To change this template file, choose Tools | Templates
+ * and open the template in the editor.
+ */
+
+/* 
+ * File:   otbStreamingStatisticsMapFromLabelImageFilter2.h
+ * Author: otbuser
+ *
+ * Created on January 14, 2021, 12:54 AM
+ */
+
+#ifndef OTBSTREAMINGSTATISTICSMAPFROMLABELIMAGEFILTER3_H
+#define OTBSTREAMINGSTATISTICSMAPFROMLABELIMAGEFILTER3_H
+
+#include "otbPersistentImageFilter.h"
+#include "itkNumericTraits.h"
+#include "itkArray.h"
+#include "itkSimpleDataObjectDecorator.h"
+#include "otbPersistentFilterStreamingDecorator.h"
+#include <unordered_map>
+
+namespace otb
+{
+
+/** \class StatisticsMapAccumulator
+ * \brief Holds statistics for each label of a label image
+ *
+ * Intended to store and update the following statistics:
+ * -count
+ * -sum of values
+ * -sum of squared values
+ * -min
+ * -max
+ *
+ * TODO:
+ * -Better architecture?
+ * -Enrich with other statistics?
+ * -Move this class in a dedicated source to enable its use by other otbStatistics stuff?
+ *
+ * \ingroup OTBStatistics
+ */
+template <class TRealVectorPixelType>
+class StatisticsAccumulator3
+{
+public:
+  typedef typename TRealVectorPixelType::ValueType  RealValueType;
+  typedef uint64_t                                  PixelCountType;
+  typedef itk::VariableLengthVector<PixelCountType> PixelCountVectorType;
+
+  // Constructor (default)
+  StatisticsAccumulator3() : m_Count(), m_NoDataValue(), m_UseNoDataValue()
+  {
+  }
+
+  // Constructor (initialize the accumulator with the given pixel)
+  StatisticsAccumulator3(RealValueType noDataValue, bool useNoDataValue, const TRealVectorPixelType& pixel)
+    : m_NoDataValue(noDataValue), m_Count(1), m_UseNoDataValue(useNoDataValue)
+  {
+    m_Count = 1;
+    m_Sum   = pixel;
+    m_Min   = pixel;
+    m_Max   = pixel;
+    m_SqSum = pixel;
+    m_BandCount.SetSize(pixel.GetSize());
+    for (unsigned int band = 0; band < m_SqSum.GetSize(); band++)
+    {
+      auto val = pixel[band];
+      if (!m_UseNoDataValue || val != m_NoDataValue)
+      {
+        m_BandCount[band] = 1;
+        m_SqSum[band] *= m_SqSum[band];
+      }
+      else
+      {
+        m_BandCount[band] = 0;
+      }
+    }
+  }
+
+  // Function update (pixel)
+  void Update(const TRealVectorPixelType& pixel)
+  {
+    m_Count++;
+    const unsigned int nBands = pixel.GetSize();
+    for (unsigned int band = 0; band < nBands; band++)
+    {
+      const RealValueType value   = pixel[band];
+      const RealValueType sqValue = value * value;
+
+      if(!m_UseNoDataValue || value != m_NoDataValue)
+        {
+        UpdateValues(1, value, sqValue, value, value, m_BandCount[band], m_Sum[band], m_SqSum[band], m_Min[band],
+                   m_Max[band]);
+        }
+    }
+  }
+
+  // Function update (self)
+  void Update(const StatisticsAccumulator& other)
+  {
+    m_Count += other.m_Count;
+    const unsigned int nBands = other.m_Sum.GetSize();
+    for (unsigned int band = 0; band < nBands; band++)
+    {
+      UpdateValues(other.m_BandCount[band], other.m_Sum[band], other.m_SqSum[band], other.m_Min[band], other.m_Max[band], m_BandCount[band], m_Sum[band],
+                   m_SqSum[band], m_Min[band], m_Max[band]);
+    }
+  }
+
+  // Accessors
+  itkGetMacro(BandCount, PixelCountVectorType);
+  itkGetMacro(Sum, TRealVectorPixelType);
+  itkGetMacro(SqSum, TRealVectorPixelType);
+  itkGetMacro(Min, TRealVectorPixelType);
+  itkGetMacro(Max, TRealVectorPixelType);
+  itkGetMacro(Count, double);
+
+private:
+  void UpdateValues(PixelCountType otherCount, RealValueType otherSum, RealValueType otherSqSum, RealValueType otherMin, RealValueType otherMax,
+                    PixelCountType& count, RealValueType& sum, RealValueType& sqSum, RealValueType& min, RealValueType& max)
+  {
+    count += otherCount;
+    sum += otherSum;
+    sqSum += otherSqSum;
+    if (otherMin < min)
+      min = otherMin;
+    if (otherMax > max)
+      max = otherMax;
+  }
+
+protected:
+  PixelCountVectorType m_BandCount;
+  TRealVectorPixelType m_Sum;
+  TRealVectorPixelType m_SqSum;
+  TRealVectorPixelType m_Min;
+  TRealVectorPixelType m_Max;
+  RealValueType        m_NoDataValue;
+  PixelCountType       m_Count;
+  bool                 m_UseNoDataValue;
+};
+
+/** \class PersistentStreamingStatisticsMapFromLabelImageFilter
+ * \brief Computes mean radiometric value for each label of a label image, based on a support VectorImage
+ *
+ * This filter persists its temporary data. It means that if you Update it n times on n different
+ * requested regions, the output statistics will be the statitics of the whole set of n regions.
+ *
+ * To reset the temporary data, one should call the Reset() function.
+ *
+ * To get the statistics once the regions have been processed via the pipeline, use the Synthetize() method.
+ *
+ *
+ * \sa StreamingStatisticsMapFromLabelImageFilter
+ * \ingroup Streamed
+ * \ingroup Multithreaded
+ * \ingroup MathematicalStatisticsImageFilters
+ *
+ * \ingroup OTBStatistics
+ */
+template <class TInputVectorImage, class TLabelImage>
+class ITK_EXPORT PersistentStreamingStatisticsMapFromLabelImageFilter3 : public PersistentImageFilter<TInputVectorImage, TInputVectorImage>
+{
+public:
+  /** Standard Self typedef */
+  typedef PersistentStreamingStatisticsMapFromLabelImageFilter3 Self;
+  typedef PersistentImageFilter<TInputVectorImage, TInputVectorImage> Superclass;
+  typedef itk::SmartPointer<Self>       Pointer;
+  typedef itk::SmartPointer<const Self> ConstPointer;
+
+  /** Method for creation through the object factory. */
+  itkNewMacro(Self);
+
+  /** Runtime information support. */
+  itkTypeMacro(PersistentStreamingStatisticsMapFromLabelImageFilter3, PersistentImageFilter);
+
+  /** Image related typedefs. */
+  typedef TInputVectorImage                   VectorImageType;
+  typedef typename TInputVectorImage::Pointer InputVectorImagePointer;
+  typedef TLabelImage                         LabelImageType;
+  typedef typename TLabelImage::Pointer       LabelImagePointer;
+
+  typedef typename VectorImageType::RegionType           RegionType;
+  typedef typename VectorImageType::PixelType            VectorPixelType;
+  typedef typename VectorImageType::PixelType::ValueType VectorPixelValueType;
+  typedef typename LabelImageType::PixelType             LabelPixelType;
+  typedef itk::VariableLengthVector<double>              RealVectorPixelType;
+  typedef StatisticsAccumulator3<RealVectorPixelType>     AccumulatorType;
+  typedef std::unordered_map<LabelPixelType, AccumulatorType> AccumulatorMapType;
+  typedef std::vector<AccumulatorMapType> AccumulatorMapCollectionType;
+  typedef std::unordered_map<LabelPixelType, RealVectorPixelType> PixelValueMapType;
+  typedef std::unordered_map<LabelPixelType, double>              LabelPopulationMapType;
+
+  itkStaticConstMacro(InputImageDimension, unsigned int, TInputVectorImage::ImageDimension);
+
+  /** Image related typedefs. */
+  itkStaticConstMacro(ImageDimension, unsigned int, TInputVectorImage::ImageDimension);
+
+  itkGetMacro(NoDataValue, VectorPixelValueType);
+  itkSetMacro(NoDataValue, VectorPixelValueType);
+  itkGetMacro(UseNoDataValue, bool);
+  itkSetMacro(UseNoDataValue, bool);
+
+  /** Smart Pointer type to a DataObject. */
+  typedef typename itk::DataObject::Pointer                  DataObjectPointer;
+  typedef itk::ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
+
+  typedef itk::ImageBase<InputImageDimension> ImageBaseType;
+  typedef typename ImageBaseType::RegionType  InputImageRegionType;
+
+  /** Type of DataObjects used for scalar outputs */
+  typedef itk::SimpleDataObjectDecorator<PixelValueMapType> PixelValueMapObjectType;
+
+  /** Set input label image */
+  virtual void SetInputLabelImage(const LabelImageType* image);
+
+  /** Get input label image */
+  virtual const LabelImageType* GetInputLabelImage();
+
+  /** Return the computed Mean for each label in the input label image */
+  PixelValueMapType GetMeanValueMap() const;
+
+  /** Return the computed Standard Deviation for each label in the input label image */
+  PixelValueMapType GetStandardDeviationValueMap() const;
+
+  /** Return the computed Min for each label in the input label image */
+  PixelValueMapType GetMinValueMap() const;
+
+  /** Return the computed Max for each label in the input label image */
+  PixelValueMapType GetMaxValueMap() const;
+
+  /** Return the computed number of labeled pixels for each label in the input label image */
+  LabelPopulationMapType GetLabelPopulationMap() const;
+  
+  /** Return the ratio between valid pixels for each band and pixels in each label */
+  PixelValueMapType GetValidPixelsRatioMap() const;
+
+  /** Make a DataObject of the correct type to be used as the specified
+   * output. */
+  DataObjectPointer MakeOutput(DataObjectPointerArraySizeType idx) override;
+  using Superclass::MakeOutput;
+
+  /** Pass the input through unmodified. Do this by Grafting in the
+   *  AllocateOutputs method.
+   */
+  void AllocateOutputs() override;
+
+  void GenerateOutputInformation() override;
+
+  void Synthetize(void) override;
+
+  void Reset(void) override;
+
+  /** Due to heterogeneous input template GenerateInputRequestedRegion must be reimplemented using explicit cast **/
+  /** This new implementation is inspired by the one of itk::ImageToImageFilter **/
+  void GenerateInputRequestedRegion() override;
+
+protected:
+  PersistentStreamingStatisticsMapFromLabelImageFilter3();
+  ~PersistentStreamingStatisticsMapFromLabelImageFilter3() override
+  {
+  }
+  void PrintSelf(std::ostream& os, itk::Indent indent) const override;
+
+  void ThreadedGenerateData(const RegionType& outputRegionForThread, itk::ThreadIdType threadId) override;
+
+private:
+  PersistentStreamingStatisticsMapFromLabelImageFilter3(const Self&) = delete;
+  void operator=(const Self&) = delete;
+
+  VectorPixelValueType m_NoDataValue;
+  bool                 m_UseNoDataValue;
+
+  AccumulatorMapCollectionType m_AccumulatorMaps;
+
+  PixelValueMapType m_MeanRadiometricValue;
+  PixelValueMapType m_StDevRadiometricValue;
+  PixelValueMapType m_MinRadiometricValue;
+  PixelValueMapType m_MaxRadiometricValue;
+
+  LabelPopulationMapType m_LabelPopulation;
+  PixelValueMapType m_CountPixel;
+
+}; // end of class PersistentStreamingStatisticsMapFromLabelImageFilter
+
+
+/*===========================================================================*/
+
+/** \class StreamingStatisticsMapFromLabelImageFilter
+ * \brief Computes mean radiometric value for each label of a label image, based on a support VectorImage
+ *
+ * Currently the class only computes the mean value.
+ *
+ * This class streams the whole input image through the PersistentStreamingStatisticsMapFromLabelImageFilter.
+ *
+ * This way, it allows computing the first order global statistics of this image.
+ * It calls the Reset() method of the PersistentStatisticsImageFilter before streaming
+ * the image and the Synthetize() method of the PersistentStatisticsImageFilter
+ * after having streamed the image to compute the statistics.
+ * The accessor on the results are wrapping the accessors of the
+ * internal PersistentStatisticsImageFilter.
+ *
+ * This filter can be used as:
+ * \code
+ * typedef otb::StreamingStatisticsMapFromLabelImageFilter<ImageType> StatisticsType;
+ * StatisticsType::Pointer statistics = StatisticsType::New();
+ * statistics->SetInput(reader->GetOutput());
+ * statistics->Update();
+ * StatisticsType::PixelValueMapType meanValueMap = statistics->GetMeanValueMap();
+ * StatisticsType::PixelValueMapType::const_iterator end = meanValueMap();
+ * for (StatisticsType::PixelValueMapType::const_iterator it = meanValueMap.begin(); it != end; ++it)
+ * {
+ *       std::cout << "label : " << it->first << " , ";
+ *                 << "mean value : " << it->second << std::endl;
+ * }
+ * \endcode
+ *
+ *
+ * \sa PersistentStatisticsImageFilter
+ * \sa PersistentImageFilter
+ * \sa PersistentFilterStreamingDecorator
+ * \sa StreamingImageVirtualWriter
+ *
+ * \ingroup Streamed
+ * \ingroup Multithreaded
+ * \ingroup MathematicalStatisticsImageFilters
+ *
+ * \ingroup OTBStatistics
+ */
+
+template <class TInputVectorImage, class TLabelImage>
+class ITK_EXPORT StreamingStatisticsMapFromLabelImageFilter3
+    : public PersistentFilterStreamingDecorator<PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>>
+{
+public:
+  /** Standard Self typedef */
+  typedef StreamingStatisticsMapFromLabelImageFilter3 Self;
+  typedef PersistentFilterStreamingDecorator<PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>> Superclass;
+  typedef itk::SmartPointer<Self>       Pointer;
+  typedef itk::SmartPointer<const Self> ConstPointer;
+
+  /** Type macro */
+  itkNewMacro(Self);
+
+  /** Creation through object factory macro */
+  itkTypeMacro(StreamingStatisticsMapFromLabelImageFilter3, PersistentFilterStreamingDecorator);
+
+  typedef TInputVectorImage VectorImageType;
+  typedef TLabelImage       LabelImageType;
+
+  typedef typename VectorImageType::PixelType            VectorPixelType;
+  typedef typename VectorImageType::PixelType::ValueType VectorPixelValueType;
+
+  typedef typename Superclass::FilterType::PixelValueMapType       PixelValueMapType;
+  typedef typename Superclass::FilterType::PixelValueMapObjectType PixelValueMapObjectType;
+
+  typedef typename Superclass::FilterType::LabelPopulationMapType LabelPopulationMapType;
+
+  /** Set input multispectral image */
+  using Superclass::SetInput;
+  void SetInput(const VectorImageType* input)
+  {
+    this->GetFilter()->SetInput(input);
+  }
+
+  /** Get input multispectral image */
+  const VectorImageType* GetInput()
+  {
+    return this->GetFilter()->GetInput();
+  }
+
+  /** Set input label image (monoband) */
+  void SetInputLabelImage(const LabelImageType* input)
+  {
+    this->GetFilter()->SetInputLabelImage(input);
+  }
+
+  /** Get input label image (monoband) */
+  const LabelImageType* GetInputLabelImage()
+  {
+    return this->GetFilter()->GetInputLabelImage();
+  }
+
+  /** Return the computed Mean for each label */
+  PixelValueMapType GetMeanValueMap() const
+  {
+    return this->GetFilter()->GetMeanValueMap();
+  }
+
+  /** Return the computed Standard Deviation for each label */
+  PixelValueMapType GetStandardDeviationValueMap() const
+  {
+    return this->GetFilter()->GetStandardDeviationValueMap();
+  }
+
+  /** Return the computed Min for each label */
+  PixelValueMapType GetMinValueMap() const
+  {
+    return this->GetFilter()->GetMinValueMap();
+  }
+
+  /** Return the computed Max for each label */
+  PixelValueMapType GetMaxValueMap() const
+  {
+    return this->GetFilter()->GetMaxValueMap();
+  }
+
+  /** Return the computed number of labeled pixels for each label */
+  LabelPopulationMapType GetLabelPopulationMap() const
+  {
+    return this->GetFilter()->GetLabelPopulationMap();
+  }
+  
+  /** Return the ratio between valid pixels for each band and pixels in each label */
+  PixelValueMapType GetValidPixelsRatioMap() const
+  {
+    return this->GetFilter()->GetValidPixelsRatioMap();
+  }
+
+  /** Set the no data value */
+  void SetNoDataValue(VectorPixelValueType value)
+  {
+    this->GetFilter()->SetNoDataValue(value);
+  }
+
+  /** Return the no data value */
+  VectorPixelValueType GetNoDataValue() const
+  {
+    return this->GetFilter()->GetNoDataValue();
+  }
+
+  /** Configure whether no data pixels ignored, treating each band independently */
+  void SetUseNoDataValue(bool useNoDataValue)
+  {
+    this->GetFilter()->SetUseNoDataValue(useNoDataValue);
+  }
+
+  /** Return whether no data pixels are ignored */
+  bool GetUseNoDataValue() const
+  {
+    return this->GetFilter()->GetUseNoDataValue();
+  }
+
+protected:
+  /** Constructor */
+  StreamingStatisticsMapFromLabelImageFilter3()
+  {
+  }
+  /** Destructor */
+  ~StreamingStatisticsMapFromLabelImageFilter3() override
+  {
+  }
+
+private:
+  StreamingStatisticsMapFromLabelImageFilter3(const Self&) = delete;
+  void operator=(const Self&) = delete;
+};
+
+} // end namespace otb#ifndef OTB_MANUAL_INSTANTIATION
+#include "otbStreamingStatisticsMapFromLabelImageFilter3.hxx"
+#endif
+
+#endif /* OTBSTREAMINGSTATISTICSMAPFROMLABELIMAGEFILTER3_H */
+

include/otbStreamingStatisticsMapFromLabelImageFilter3.hxx

+/*
+ * To change this license header, choose License Headers in Project Properties.
+ * To change this template file, choose Tools | Templates
+ * and open the template in the editor.
+ */
+
+/* 
+ * File:   otbStreamingStatisticsMapFromLabelImageFilter2.hxx
+ * Author: otbuser
+ *
+ * Created on January 14, 2021, 12:54 AM
+ */
+
+#ifndef OTBSTREAMINGSTATISTICSMAPFROMLABELIMAGEFILTER3_HXX
+#define OTBSTREAMINGSTATISTICSMAPFROMLABELIMAGEFILTER3_HXX
+#include "otbStreamingStatisticsMapFromLabelImageFilter3.h"
+
+#include "itkInputDataObjectIterator.h"
+#include "itkImageRegionIterator.h"
+#include "itkProgressReporter.h"
+#include "otbMacro.h"
+#include <cmath>
+
+namespace otb
+{
+
+template <class TInputVectorImage, class TLabelImage>
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::PersistentStreamingStatisticsMapFromLabelImageFilter3()
+  : m_UseNoDataValue()
+{
+  // first output is a copy of the image, DataObject created by
+  // superclass
+  //
+  // allocate the data objects for the outputs which are
+  // just decorators around pixel types
+  typename PixelValueMapObjectType::Pointer output = static_cast<PixelValueMapObjectType*>(this->MakeOutput(1).GetPointer());
+  this->itk::ProcessObject::SetNthOutput(1, output.GetPointer());
+
+  this->Reset();
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename itk::DataObject::Pointer
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::MakeOutput(DataObjectPointerArraySizeType itkNotUsed(output))
+{
+  return static_cast<itk::DataObject*>(PixelValueMapObjectType::New().GetPointer());
+}
+
+template <class TInputVectorImage, class TLabelImage>
+void PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::SetInputLabelImage(const LabelImageType* input)
+{
+  // Process object is not const-correct so the const_cast is required here
+  this->itk::ProcessObject::SetNthInput(1, const_cast<LabelImageType*>(input));
+}
+
+template <class TInputVectorImage, class TLabelImage>
+const typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::LabelImageType*
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetInputLabelImage()
+{
+  return static_cast<const TLabelImage*>(this->itk::ProcessObject::GetInput(1));
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::PixelValueMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetMeanValueMap() const
+{
+  return m_MeanRadiometricValue;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::PixelValueMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetStandardDeviationValueMap() const
+{
+  return m_StDevRadiometricValue;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::PixelValueMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetMinValueMap() const
+{
+  return m_MinRadiometricValue;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::PixelValueMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetMaxValueMap() const
+{
+  return m_MaxRadiometricValue;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::LabelPopulationMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GetLabelPopulationMap() const
+{
+  return m_LabelPopulation;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+typename PersistentStreamingStatisticsMapFromLabelImageFilter2<TInputVectorImage, TLabelImage>::PixelValueMapType
+PersistentStreamingStatisticsMapFromLabelImageFilter2<TInputVectorImage, TLabelImage>::GetValidPixelsRatioMap() const
+{
+  return m_CountPixel;
+}
+
+template <class TInputVectorImage, class TLabelImage>
+void PersistentStreamingStatisticsMapFromLabelImageFilter3<TInputVectorImage, TLabelImage>::GenerateOutputInformation()
+{
+  Superclass::GenerateOutputInformation();
+
+  if (this->GetInput())
+  {
+    this->GetOutput()->CopyInformation(this->GetInput());
+    this->GetOutput()->SetLargestPossibleRegion(this->GetInput()->GetLargestPossibleRegion());
+
+    if (this->GetOutput()->GetRequestedRegion().GetNumberOfPixels() == 0)