diff --git a/Modules/ToFProcessing/mitkToFCompositeFilter.cpp b/Modules/ToFProcessing/mitkToFCompositeFilter.cpp
index 638ba1c82e..e7306d8edc 100644
--- a/Modules/ToFProcessing/mitkToFCompositeFilter.cpp
+++ b/Modules/ToFProcessing/mitkToFCompositeFilter.cpp
@@ -1,398 +1,398 @@
 /*============================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 
 Copyright (c) German Cancer Research Center (DKFZ)
 All rights reserved.
 
 Use of this source code is governed by a 3-clause BSD license that can be
 found in the LICENSE file.
 
 ============================================================================*/
 
 #include <mitkToFCompositeFilter.h>
 #include <mitkInstantiateAccessFunctions.h>
 #include "mitkImageReadAccessor.h"
 
 #include <itkImage.h>
 
 #include "opencv2/imgproc.hpp"
 
 mitk::ToFCompositeFilter::ToFCompositeFilter() : m_SegmentationMask(nullptr), m_ImageWidth(0), m_ImageHeight(0), m_ImageSize(0),
 m_IplDistanceImage(nullptr), m_IplOutputImage(nullptr), m_ItkInputImage(nullptr), m_ApplyTemporalMedianFilter(false), m_ApplyAverageFilter(false),
   m_ApplyMedianFilter(false), m_ApplyThresholdFilter(false), m_ApplyMaskSegmentation(false), m_ApplyBilateralFilter(false), m_DataBuffer(nullptr),
 m_DataBufferCurrentIndex(0), m_DataBufferMaxSize(0), m_TemporalMedianFilterNumOfFrames(10), m_ThresholdFilterMin(1),
 m_ThresholdFilterMax(7000), m_BilateralFilterDomainSigma(2), m_BilateralFilterRangeSigma(60), m_BilateralFilterKernelRadius(0)
 {
 }
 
 mitk::ToFCompositeFilter::~ToFCompositeFilter()
 {
   cvReleaseImage(&(this->m_IplDistanceImage));
   cvReleaseImage(&(this->m_IplOutputImage));
   if (m_DataBuffer!=nullptr)
   {
     delete [] m_DataBuffer;
   }
 }
 
 void mitk::ToFCompositeFilter::SetInput(  const InputImageType* distanceImage )
 {
   this->SetInput(0, distanceImage);
 }
 
 void mitk::ToFCompositeFilter::SetInput( unsigned int idx,  const InputImageType* distanceImage )
 {
   if ((distanceImage == nullptr) && (idx == this->GetNumberOfInputs() - 1)) // if the last input is set to nullptr, reduce the number of inputs by one
   {
     this->SetNumberOfIndexedInputs(this->GetNumberOfInputs() - 1);
   }
   else
   {
     if (idx==0) //create IPL image holding distance data
     {
       if (!distanceImage->IsEmpty())
       {
         this->m_ImageWidth = distanceImage->GetDimension(0);
         this->m_ImageHeight = distanceImage->GetDimension(1);
         this->m_ImageSize = this->m_ImageWidth * this->m_ImageHeight * sizeof(float);
 
         if (this->m_IplDistanceImage != nullptr)
         {
           cvReleaseImage(&(this->m_IplDistanceImage));
         }
         ImageReadAccessor distImgAcc(distanceImage, distanceImage->GetSliceData(0,0,0));
         float* distanceFloatData = (float*) distImgAcc.GetData();
         this->m_IplDistanceImage = cvCreateImage(cvSize(this->m_ImageWidth, this->m_ImageHeight), IPL_DEPTH_32F, 1);
         memcpy(this->m_IplDistanceImage->imageData, (void*)distanceFloatData, this->m_ImageSize);
 
         if (this->m_IplOutputImage != nullptr)
         {
           cvReleaseImage(&(this->m_IplOutputImage));
         }
         this->m_IplOutputImage = cvCreateImage(cvSize(this->m_ImageWidth, this->m_ImageHeight), IPL_DEPTH_32F, 1);
 
         CreateItkImage(this->m_ItkInputImage);
       }
     }
     this->ProcessObject::SetNthInput(idx, const_cast<InputImageType*>(distanceImage));   // Process object is not const-correct so the const_cast is required here
   }
 
   this->CreateOutputsForAllInputs();
 }
 
  mitk::Image* mitk::ToFCompositeFilter::GetInput()
 {
   return this->GetInput(0);
 }
 
  mitk::Image* mitk::ToFCompositeFilter::GetInput( unsigned int idx )
 {
   if (this->GetNumberOfInputs() < 1)
     return nullptr; //TODO: geeignete exception werfen
   return static_cast< mitk::Image*>(this->ProcessObject::GetInput(idx));
 }
 
 void mitk::ToFCompositeFilter::GenerateData()
 {
   // copy input 1...n to output 1...n
   for (unsigned int idx=0; idx<this->GetNumberOfOutputs(); idx++)
   {
     mitk::Image::Pointer outputImage = this->GetOutput(idx);
     mitk::Image::Pointer inputImage = this->GetInput(idx);
     if (outputImage.IsNotNull()&&inputImage.IsNotNull())
     {
       ImageReadAccessor inputAcc(inputImage, inputImage->GetSliceData());
       outputImage->CopyInformation(inputImage);
       outputImage->Initialize(inputImage->GetPixelType(),inputImage->GetDimension(),inputImage->GetDimensions());
       outputImage->SetSlice(inputAcc.GetData());
     }
   }
   //mitk::Image::Pointer outputDistanceImage = this->GetOutput();
   ImageReadAccessor outputAcc(this->GetOutput(), this->GetOutput()->GetSliceData(0, 0, 0) );
   float* outputDistanceFloatData = (float*) outputAcc.GetData();
 
   //mitk::Image::Pointer inputDistanceImage = this->GetInput();
   ImageReadAccessor inputAcc(this->GetInput(), this->GetInput()->GetSliceData(0, 0, 0) );
 
   // copy initial distance image to ipl image
   float* distanceFloatData = (float*)inputAcc.GetData();
   memcpy(this->m_IplDistanceImage->imageData, (void*)distanceFloatData, this->m_ImageSize);
   if (m_ApplyThresholdFilter||m_ApplyMaskSegmentation)
   {
     ProcessSegmentation(this->m_IplDistanceImage);
   }
   if (this->m_ApplyTemporalMedianFilter||this->m_ApplyAverageFilter)
   {
     ProcessStreamedQuickSelectMedianImageFilter(this->m_IplDistanceImage);
   }
   if (this->m_ApplyMedianFilter)
   {
     ProcessCVMedianFilter(this->m_IplDistanceImage, this->m_IplOutputImage);
     memcpy( this->m_IplDistanceImage->imageData, this->m_IplOutputImage->imageData, this->m_ImageSize );
   }
   if (this->m_ApplyBilateralFilter)
   {
       float* itkFloatData = this->m_ItkInputImage->GetBufferPointer();
       memcpy(itkFloatData, this->m_IplDistanceImage->imageData, this->m_ImageSize );
       ItkImageType2D::Pointer itkOutputImage = ProcessItkBilateralFilter(this->m_ItkInputImage);
       memcpy( this->m_IplDistanceImage->imageData, itkOutputImage->GetBufferPointer(), this->m_ImageSize );
 
     //ProcessCVBilateralFilter(this->m_IplDistanceImage, this->m_OutputIplImage, domainSigma, rangeSigma, kernelRadius);
     //memcpy( distanceFloatData, this->m_OutputIplImage->imageData, distanceImageSize );
   }
   memcpy( outputDistanceFloatData, this->m_IplDistanceImage->imageData, this->m_ImageSize );
 }
 
 void mitk::ToFCompositeFilter::CreateOutputsForAllInputs()
 {
   this->SetNumberOfIndexedOutputs(this->GetNumberOfInputs());  // create outputs for all inputs
   for (unsigned int idx = 0; idx < this->GetNumberOfIndexedInputs(); ++idx)
   {
     if (this->GetOutput(idx) == nullptr)
     {
       DataObjectPointer newOutput = this->MakeOutput(idx);
       this->SetNthOutput(idx, newOutput);
     }
   }
   this->Modified();
 }
 
 void mitk::ToFCompositeFilter::GenerateOutputInformation()
 {
   mitk::Image::ConstPointer input = this->GetInput();
   mitk::Image::Pointer output = this->GetOutput();
 
   if (output->IsInitialized())
     return;
 
   itkDebugMacro(<<"GenerateOutputInformation()");
 
   output->Initialize(input->GetPixelType(), *input->GetTimeGeometry());
   output->SetPropertyList(input->GetPropertyList()->Clone());
 }
 
 void mitk::ToFCompositeFilter::ProcessSegmentation(IplImage* inputIplImage)
 {
   char* segmentationMask;
   if (m_SegmentationMask.IsNotNull())
   {
     ImageReadAccessor segMaskAcc(m_SegmentationMask, m_SegmentationMask->GetSliceData(0,0,0));
     segmentationMask = (char*)segMaskAcc.GetData();
   }
   else
   {
     segmentationMask = nullptr;
   }
   float *f = (float*)inputIplImage->imageData;
   for(int i=0; i<this->m_ImageWidth*this->m_ImageHeight; i++)
   {
     if (this->m_ApplyThresholdFilter)
     {
       if (f[i]<=m_ThresholdFilterMin)
       {
         f[i] = 0.0;
       }
       else if (f[i]>=m_ThresholdFilterMax)
       {
         f[i] = 0.0;
       }
     }
     if (this->m_ApplyMaskSegmentation)
     {
       if (segmentationMask)
       {
         if (segmentationMask[i]==0)
         {
           f[i] = 0.0;
         }
       }
     }
   }
 }
 
 ItkImageType2D::Pointer mitk::ToFCompositeFilter::ProcessItkBilateralFilter(ItkImageType2D::Pointer inputItkImage)
 {
   ItkImageType2D::Pointer outputItkImage;
   BilateralFilterType::Pointer bilateralFilter = BilateralFilterType::New();
   bilateralFilter->SetInput(inputItkImage);
   bilateralFilter->SetDomainSigma(m_BilateralFilterDomainSigma);
   bilateralFilter->SetRangeSigma(m_BilateralFilterRangeSigma);
   //bilateralFilter->SetRadius(m_BilateralFilterKernelRadius);
   outputItkImage = bilateralFilter->GetOutput();
   outputItkImage->Update();
   return outputItkImage;
 }
 
 void mitk::ToFCompositeFilter::ProcessCVBilateralFilter(IplImage* inputIplImage, IplImage* outputIplImage)
 {
   int diameter = m_BilateralFilterKernelRadius;
   double sigmaColor = m_BilateralFilterRangeSigma;
   double sigmaSpace = m_BilateralFilterDomainSigma;
   cvSmooth(inputIplImage, outputIplImage, CV_BILATERAL, diameter, 0, sigmaColor, sigmaSpace);
 }
 
 void mitk::ToFCompositeFilter::ProcessCVMedianFilter(IplImage* inputIplImage, IplImage* outputIplImage, int radius)
 {
   cvSmooth(inputIplImage, outputIplImage, CV_MEDIAN, radius, 0, 0, 0);
 }
 
 void mitk::ToFCompositeFilter::ProcessStreamedQuickSelectMedianImageFilter(IplImage* inputIplImage)
 {
   float* data = (float*)inputIplImage->imageData;
 
   int imageSize = inputIplImage->width * inputIplImage->height;
   float* tmpArray;
 
   if (this->m_TemporalMedianFilterNumOfFrames == 0)
   {
     return;
   }
 
   if (m_TemporalMedianFilterNumOfFrames != this->m_DataBufferMaxSize) // reset
   {
     //delete current buffer
     for( int i=0; i<this->m_DataBufferMaxSize; i++ ) {
       delete[] this->m_DataBuffer[i];
     }
     if (this->m_DataBuffer != nullptr)
     {
       delete[] this->m_DataBuffer;
     }
 
     this->m_DataBufferMaxSize = m_TemporalMedianFilterNumOfFrames;
 
     // create new buffer with current size
     this->m_DataBuffer = new float*[this->m_DataBufferMaxSize];
     for(int i=0; i<this->m_DataBufferMaxSize; i++)
     {
       this->m_DataBuffer[i] = nullptr;
     }
     this->m_DataBufferCurrentIndex = 0;
   }
 
   int currentBufferSize = this->m_DataBufferMaxSize;
   tmpArray = new float[this->m_DataBufferMaxSize];
 
   // copy data to buffer
   if (this->m_DataBuffer[this->m_DataBufferCurrentIndex] == nullptr)
   {
     this->m_DataBuffer[this->m_DataBufferCurrentIndex] = new float[imageSize];
     currentBufferSize = this->m_DataBufferCurrentIndex + 1;
   }
 
   for(int j=0; j<imageSize; j++)
   {
     this->m_DataBuffer[this->m_DataBufferCurrentIndex][j] = data[j];
   }
 
   float tmpValue = 0.0f;
   for(int i=0; i<imageSize; i++)
   {
     if (m_ApplyAverageFilter)
     {
       tmpValue = 0.0f;
       for(int j=0; j<currentBufferSize; j++)
       {
           tmpValue+=this->m_DataBuffer[j][i];
       }
       data[i] = tmpValue/currentBufferSize;
     }
     else if (m_ApplyTemporalMedianFilter)
     {
       for(int j=0; j<currentBufferSize; j++)
       {
         tmpArray[j] = this->m_DataBuffer[j][i];
       }
       data[i] = quick_select(tmpArray, currentBufferSize);
     }
   }
 
   this->m_DataBufferCurrentIndex = (this->m_DataBufferCurrentIndex + 1) % this->m_DataBufferMaxSize;
 
   delete[] tmpArray;
 }
 
-#define ELEM_SWAP(a,b) { register float t=(a);(a)=(b);(b)=t; }
+#define ELEM_SWAP(a,b) { float t=(a);(a)=(b);(b)=t; }
 float mitk::ToFCompositeFilter::quick_select(float arr[], int n)
 {
   int low = 0;
   int high = n-1;
   int median = (low + high)/2;
   int middle = 0;
   int ll = 0;
   int hh = 0;
   for (;;) {
     if (high <= low) /* One element only */
       return arr[median] ;
     if (high == low + 1) { /* Two elements only */
       if (arr[low] > arr[high])
         ELEM_SWAP(arr[low], arr[high]) ;
       return arr[median] ;
     }
     /* Find median of low, middle and high items; swap into position low */
     middle = (low + high) / 2;
     if (arr[middle] > arr[high]) ELEM_SWAP(arr[middle], arr[high]) ;
     if (arr[low] > arr[high]) ELEM_SWAP(arr[low], arr[high]) ;
     if (arr[middle] > arr[low]) ELEM_SWAP(arr[middle], arr[low]) ;
     /* Swap low item (now in position middle) into position (low+1) */
     ELEM_SWAP(arr[middle], arr[low+1]) ;
     /* Nibble from each end towards middle, swapping items when stuck */
     ll = low + 1;
     hh = high;
     for (;;) {
       do ll++; while (arr[low] > arr[ll]) ;
       do hh--; while (arr[hh] > arr[low]) ;
       if (hh < ll)
         break;
       ELEM_SWAP(arr[ll], arr[hh]) ;
     }
     /* Swap middle item (in position low) back into correct position */
     ELEM_SWAP(arr[low], arr[hh]) ;
     /* Re-set active partition */
     if (hh <= median)
       low = ll;
     if (hh >= median)
       high = hh - 1;
   }
 }
 #undef ELEM_SWAP
 
 void mitk::ToFCompositeFilter::SetTemporalMedianFilterParameter(int tmporalMedianFilterNumOfFrames)
 {
   this->m_TemporalMedianFilterNumOfFrames = tmporalMedianFilterNumOfFrames;
 }
 
 void mitk::ToFCompositeFilter::SetThresholdFilterParameter(int min, int max)
 {
   if (min > max)
   {
     min = max;
   }
   this->m_ThresholdFilterMin = min;
   this->m_ThresholdFilterMax = max;
 }
 
 void mitk::ToFCompositeFilter::SetBilateralFilterParameter(double domainSigma, double rangeSigma, int kernelRadius = 0)
 {
   this->m_BilateralFilterDomainSigma = domainSigma;
   this->m_BilateralFilterRangeSigma = rangeSigma;
   this->m_BilateralFilterKernelRadius = kernelRadius;
 }
 
 void mitk::ToFCompositeFilter::CreateItkImage(ItkImageType2D::Pointer &itkInputImage)
 {
   itkInputImage = ItkImageType2D::New();
   ItkImageType2D::IndexType startIndex;
   startIndex[0] =   0;  // first index on X
   startIndex[1] =   0;  // first index on Y
   ItkImageType2D::SizeType  size;
   size[0]  = this->m_ImageWidth;  // size along X
   size[1]  = this->m_ImageHeight;  // size along Y
   ItkImageType2D::RegionType region;
   region.SetSize( size );
   region.SetIndex( startIndex );
   itkInputImage->SetRegions( region );
   itkInputImage->Allocate();
 
 }