diff --git a/Modules/Classification/CLActiveLearning/include/mitkPredictionConfidenceFilter.h b/Modules/Classification/CLActiveLearning/include/mitkPredictionConfidenceFilter.h
index 4878aad901..26c265ba0b 100644
--- a/Modules/Classification/CLActiveLearning/include/mitkPredictionConfidenceFilter.h
+++ b/Modules/Classification/CLActiveLearning/include/mitkPredictionConfidenceFilter.h
@@ -1,48 +1,51 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 
 #ifndef mitkPredictionConfidenceFilter_h
 #define mitkPredictionConfidenceFilter_h
 
 #include <MitkCLActiveLearningExports.h>
 
 #include <mitkPredictionUncertaintyFilter.h>
 #include <mitkCommon.h>
 
 namespace mitk
 {
 
     template <typename InputImageType, typename OutputImageType>
     class MITKCLACTIVELEARNING_EXPORT PredictionConfidenceFilter : public mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType>
     {
 
     public:
 
         typedef mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType> SuperClassName;
         mitkClassMacro(PredictionConfidenceFilter, SuperClassName)
         itkNewMacro(Self)
 
     protected:
 
-//        PredictionConfidenceFilter(){}
-//        ~PredictionConfidenceFilter(){}
-
         OutputPixelType CalculateUncertainty(const InputPixelType& inputVector) override;
 
+    private:
+
+        // ITK examples do this...
+        PredictionConfidenceFilter(const Self&);
+        void operator=(const Self&);
+
     };
 
 }
 
 #endif
diff --git a/Modules/Classification/CLActiveLearning/include/mitkPredictionEntropyFilter.h b/Modules/Classification/CLActiveLearning/include/mitkPredictionEntropyFilter.h
index 02ba2f94a5..b500499809 100644
--- a/Modules/Classification/CLActiveLearning/include/mitkPredictionEntropyFilter.h
+++ b/Modules/Classification/CLActiveLearning/include/mitkPredictionEntropyFilter.h
@@ -1,48 +1,51 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 
 #ifndef mitkPredictionEntropyFilter_h
 #define mitkPredictionEntropyFilter_h
 
 #include <MitkCLActiveLearningExports.h>
 
 #include <mitkPredictionUncertaintyFilter.h>
 #include <mitkCommon.h>
 
 namespace mitk
 {
 
     template <typename InputImageType, typename OutputImageType>
     class MITKCLACTIVELEARNING_EXPORT PredictionEntropyFilter : public mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType>
     {
 
     public:
 
         typedef mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType> SuperClassName;
         mitkClassMacro(PredictionEntropyFilter, SuperClassName)
         itkNewMacro(Self)
 
     protected:
 
-//        PredictionEntropyFilter(){}
-//        ~PredictionEntropyFilter(){}
-
         OutputPixelType CalculateUncertainty(const InputPixelType& inputVector) override;
 
+    private:
+
+        // ITK examples do this...
+        PredictionEntropyFilter(const Self&);
+        void operator=(const Self&);
+
     };
 
 }
 
 #endif
diff --git a/Modules/Classification/CLActiveLearning/include/mitkPredictionMarginFilter.h b/Modules/Classification/CLActiveLearning/include/mitkPredictionMarginFilter.h
index 841e11b681..4120da6081 100644
--- a/Modules/Classification/CLActiveLearning/include/mitkPredictionMarginFilter.h
+++ b/Modules/Classification/CLActiveLearning/include/mitkPredictionMarginFilter.h
@@ -1,48 +1,51 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 
 #ifndef mitkPredictionMarginFilter_h
 #define mitkPredictionMarginFilter_h
 
 #include <MitkCLActiveLearningExports.h>
 
 #include <mitkPredictionUncertaintyFilter.h>
 #include <mitkCommon.h>
 
 namespace mitk
 {
 
     template <typename InputImageType, typename OutputImageType>
     class MITKCLACTIVELEARNING_EXPORT PredictionMarginFilter : public mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType>
     {
 
     public:
 
         typedef mitk::PredictionUncertaintyFilter<InputImageType, OutputImageType> SuperClassName;
         mitkClassMacro(PredictionMarginFilter, SuperClassName)
         itkNewMacro(Self)
 
     protected:
 
-//        PredictionMarginFilter(){}
-//        ~PredictionMarginFilter(){}
-
         OutputPixelType CalculateUncertainty(const InputPixelType& inputVector) override;
 
+    private:
+
+        // ITK examples do this...
+        PredictionMarginFilter(const Self&);
+        void operator=(const Self&);
+
     };
 
 }
 
 #endif
diff --git a/Modules/Classification/CLActiveLearning/include/mitkPredictionUncertaintyFilter.h b/Modules/Classification/CLActiveLearning/include/mitkPredictionUncertaintyFilter.h
index 21e832c99f..b114ad9c6a 100644
--- a/Modules/Classification/CLActiveLearning/include/mitkPredictionUncertaintyFilter.h
+++ b/Modules/Classification/CLActiveLearning/include/mitkPredictionUncertaintyFilter.h
@@ -1,68 +1,75 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 
 #ifndef mitkPredictionUncertaintyFilter_h
 #define mitkPredictionUncertaintyFilter_h
 
 #include <MitkCLActiveLearningExports.h>
 
 #include <mitkCommon.h>
 
 // ITK
 #include <itkVectorImage.h>
 #include <itkImage.h>
 #include <itkImageToImageFilter.h>
 
 namespace mitk
 {
-
+    /** \class PredictionUncertaintyFilter
+     * \brief Base class for filters that calculate an uncertainty measure on a vector image
+     *
+     * The input image should be a vector image. For each vector, the entries represent class
+     * probabilities. From these an uncertainty is calculated, so that one vector of probabilities
+     * will result in a scalar uncertainty.
+     * Derivative classes will need to implement CalculateUncertainty.
+     */
 
     template <typename InputImageType, typename OutputImageType>
     class MITKCLACTIVELEARNING_EXPORT PredictionUncertaintyFilter : public itk::ImageToImageFilter<InputImageType, OutputImageType>
     {
 
     public:
 
         typedef itk::ImageToImageFilter<InputImageType, OutputImageType> SuperClassName;
         mitkClassMacro(PredictionUncertaintyFilter, SuperClassName)
         itkNewMacro(Self)
-//        itkFactorylessNewMacro(Self)
+        // For some reason the typedefs from the ImageToImageFilter are not passed on
         typedef typename Superclass::InputImageDimension InputDimension;
         typedef typename Superclass::InputImagePixelType InputPixelType;
         typedef typename Superclass::InputImageRegionType InputRegionType;
         typedef typename Superclass::OutputImageDimension OutputDimension;
         typedef typename Superclass::OutputImagePixelType OutputPixelType;
         typedef typename Superclass::OutputImageRegionType OutputRegionType;
 
     protected:
 
         PredictionUncertaintyFilter(){}
         ~PredictionUncertaintyFilter(){}
 
-        virtual OutputPixelType CalculateUncertainty(const InputPixelType& inputVector);
+        virtual OutputPixelType CalculateUncertainty(const InputPixelType& inputVector) = 0;
 
         virtual void ThreadedGenerateData(const OutputRegionType& outputRegionForThread, itk::ThreadIdType threadId);
 
     private:
 
         // ITK examples do this...
         PredictionUncertaintyFilter(const Self&);
         void operator=(const Self&);
 
     };
 
 }
 
 #endif
diff --git a/Modules/Classification/CLActiveLearning/include/mitkSelectHighestUncertaintyRegionFilter.h b/Modules/Classification/CLActiveLearning/include/mitkSelectHighestUncertaintyRegionFilter.h
new file mode 100644
index 0000000000..86edfcf809
--- /dev/null
+++ b/Modules/Classification/CLActiveLearning/include/mitkSelectHighestUncertaintyRegionFilter.h
@@ -0,0 +1,66 @@
+/*===================================================================
+
+The Medical Imaging Interaction Toolkit (MITK)
+Copyright (c) German Cancer Research Center,
+Division of Medical and Biological Informatics.
+All rights reserved.
+
+This software is distributed WITHOUT ANY WARRANTY; without
+even the implied warranty of MERCHANTABILITY or FITNESS FOR
+A PARTICULAR PURPOSE.
+
+See LICENSE.txt or http://www.mitk.org for details.
+
+===================================================================*/
+
+#ifndef mitkSelectHighestUncertaintyRegionFilter_h
+#define mitkSelectHighestUncertaintyRegionFilter_h
+
+#include <MitkCLActiveLearningExports.h>
+
+#include <mitkCommon.h>
+
+// ITK
+#include <itkLabelShapeKeepNObjectsImageFilter.h>
+
+namespace mitk
+{
+    /** \class SelectHighestUncertaintyRegionFilter
+     * \brief This class will black out everything that is not part of the region with the highest uncertainty
+     *
+     * Expects an already thresholded image (i.e. values smaller threshold = 0). Will black out everything that does
+     * not belong to the region with the highest sum of uncertainties.
+     */
+
+    template <typename InputImageType>
+    class MITKCLACTIVELEARNING_EXPORT SelectHighestUncertaintyRegionFilter : public itk::LabelShapeKeepNObjectsImageFilter<InputImageType>
+    {
+
+    public:
+
+        typedef itk::LabelShapeKeepNObjectsImageFilter<InputImageType> SuperClassName;
+        mitkClassMacro(SelectHighestUncertaintyRegionFilter, SuperClassName)
+        itkNewMacro(Self)
+
+        // We want the attribute to be fixed
+        void SetAttribute(AttributeType) override = 0;
+        void SetAttribute(const std::string&) override = 0;
+
+    protected:
+
+        SelectHighestUncertaintyRegionFilter();
+        ~SelectHighestUncertaintyRegionFilter(){}
+
+    private:
+
+        // ITK examples do this...
+        SelectHighestUncertaintyRegionFilter(const Self&);
+        void operator=(const Self&);
+
+        AttributeType m_Attribute;
+
+    };
+
+}
+
+#endif
diff --git a/Modules/Classification/CLActiveLearning/src/mitkSelectHighestUncertaintyRegionFilter.cpp b/Modules/Classification/CLActiveLearning/src/mitkSelectHighestUncertaintyRegionFilter.cpp
new file mode 100644
index 0000000000..fba2fd9b35
--- /dev/null
+++ b/Modules/Classification/CLActiveLearning/src/mitkSelectHighestUncertaintyRegionFilter.cpp
@@ -0,0 +1,31 @@
+/*===================================================================
+
+The Medical Imaging Interaction Toolkit (MITK)
+Copyright (c) German Cancer Research Center,
+Division of Medical and Biological Informatics.
+All rights reserved.
+
+This software is distributed WITHOUT ANY WARRANTY; without
+even the implied warranty of MERCHANTABILITY or FITNESS FOR
+A PARTICULAR PURPOSE.
+
+See LICENSE.txt or http://www.mitk.org for details.
+
+===================================================================*/
+
+// MITK
+#include <mitkSelectHighestUncertaintyRegionFilter.h>
+
+namespace mitk
+{
+
+    template<typename InputImageType>
+    SelectHighestUncertaintyRegionFilter<InputImageType>::SelectHighestUncertaintyRegionFilter()
+    {
+        m_Attribute = LabelObjectType::PHYSICAL_SIZE;
+        SetBackgroundValue(0);
+        SetNumberOfObjects(1);
+        SetReverseOrdering(false);
+    }
+
+}