diff --git a/Modules/Classification/CLUtilities/test/files.cmake b/Modules/Classification/CLUtilities/test/files.cmake
index b0f32b97fe..0ba089ea7a 100644
--- a/Modules/Classification/CLUtilities/test/files.cmake
+++ b/Modules/Classification/CLUtilities/test/files.cmake
@@ -1,14 +1,15 @@
 set(MODULE_TESTS
+  mitkGIFCooc2Test
   mitkGIFCurvatureStatisticTest
   mitkGIFFirstOrderHistogramStatisticsTest
   mitkGIFGreyLevelDistanceZoneTest
   mitkGIFGreyLevelSizeZoneTest
   mitkGIFImageDescriptionFeaturesTest
   mitkGIFLocalIntensityTest
   mitkGIFNeighbourhoodGreyToneDifferenceFeaturesTest
   mitkGIFNeighbouringGreyLevelDependenceFeatureTest
   mitkGIFVolumetricDensityStatisticsTest
   mitkGIFVolumetricStatisticsTest
   #mitkSmoothedClassProbabilitesTest.cpp
   #mitkGlobalFeaturesTest.cpp
 )
diff --git a/Modules/Classification/CLUtilities/test/mitkGIFCooc2Test.cpp b/Modules/Classification/CLUtilities/test/mitkGIFCooc2Test.cpp
new file mode 100644
index 0000000000..ae2bb3fc65
--- /dev/null
+++ b/Modules/Classification/CLUtilities/test/mitkGIFCooc2Test.cpp
@@ -0,0 +1,129 @@
+/*===================================================================
+
+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.
+
+===================================================================*/
+
+#include <mitkTestingMacros.h>
+#include <mitkTestFixture.h>
+#include "mitkIOUtil.h"
+#include <cmath>
+
+#include <mitkGIFCooccurenceMatrix2.h>
+
+class mitkGIFCooc2TestSuite : public mitk::TestFixture
+{
+  CPPUNIT_TEST_SUITE(mitkGIFCooc2TestSuite);
+
+  MITK_TEST(ImageDescription_PhantomTest_3D);
+  //MITK_TEST(ImageDescription_PhantomTest_2D);
+
+  CPPUNIT_TEST_SUITE_END();
+
+private:
+  mitk::Image::Pointer m_IBSI_Phantom_Image_Small;
+  mitk::Image::Pointer m_IBSI_Phantom_Image_Large;
+  mitk::Image::Pointer m_IBSI_Phantom_Mask_Small;
+  mitk::Image::Pointer m_IBSI_Phantom_Mask_Large;
+
+public:
+
+  void setUp(void) override
+  {
+    m_IBSI_Phantom_Image_Small = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Small.nrrd"));
+    m_IBSI_Phantom_Image_Large = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Image_Large.nrrd"));
+    m_IBSI_Phantom_Mask_Small = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Small.nrrd"));
+    m_IBSI_Phantom_Mask_Large = mitk::IOUtil::Load<mitk::Image>(GetTestDataFilePath("Radiomics/IBSI_Phantom_Mask_Large.nrrd"));
+  }
+
+  void ImageDescription_PhantomTest_3D()
+  {
+    mitk::GIFCooccurenceMatrix2::Pointer featureCalculator = mitk::GIFCooccurenceMatrix2::New();
+
+    featureCalculator->SetUseBinsize(true);
+    featureCalculator->SetBinsize(1.0);
+    featureCalculator->SetUseMinimumIntensity(true);
+    featureCalculator->SetUseMaximumIntensity(true);
+    featureCalculator->SetMinimumIntensity(0.5);
+    featureCalculator->SetMaximumIntensity(6.5);
+
+    auto featureList = featureCalculator->CalculateFeatures(m_IBSI_Phantom_Image_Large, m_IBSI_Phantom_Mask_Large);
+
+    std::map<std::string, double> results;
+    for (auto valuePair : featureList)
+    {
+      MITK_INFO << valuePair.first << " : " << valuePair.second;
+      results[valuePair.first] = valuePair.second;
+    }
+    CPPUNIT_ASSERT_EQUAL_MESSAGE("Image Diagnostics should calculate 18 features.", std::size_t(18), featureList.size());
+
+    // These values are obtained with IBSI
+    // Standard accuracy is 0.01
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Grey Level Size Zone::Small Zone Emphasis with Large IBSI Phantom Image", 0.255, results["Grey Level Size Zone::Small Zone Emphasis"], 0.001);
+    //CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Grey Level Size Zone:: with Large IBSI Phantom Image", 0.045, results["Grey Level Size Zone::"], 0.001);
+
+    // These values are obtained by manually running the tool
+    // Values might be wrong.
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("Grey Level Size Zone::Grey Level Mean with Large IBSI Phantom Image", 3.6, results["Grey Level Size Zone::Grey Level Mean"], 0.001);
+  }
+
+  void ImageDescription_PhantomTest_2D()
+  {
+    mitk::GIFCooccurenceMatrix2::Pointer featureCalculator = mitk::GIFCooccurenceMatrix2::New();
+
+    featureCalculator->SetUseBinsize(true);
+    featureCalculator->SetBinsize(1.0);
+    featureCalculator->SetUseMinimumIntensity(true);
+    featureCalculator->SetUseMaximumIntensity(true);
+    featureCalculator->SetMinimumIntensity(0.5);
+    featureCalculator->SetMaximumIntensity(6.5);
+
+    auto featureList = featureCalculator->CalculateFeaturesSlicewise(m_IBSI_Phantom_Image_Large, m_IBSI_Phantom_Mask_Large, 2);
+
+    std::map<std::string, double> results;
+    for (auto valuePair : featureList)
+    {
+      MITK_INFO << valuePair.first << " : " << valuePair.second;
+      results[valuePair.first] = valuePair.second;
+    }
+    CPPUNIT_ASSERT_EQUAL_MESSAGE("Image Diagnostics should calculate 108 features.", std::size_t(108), featureList.size());
+
+    // These values are obtained with IBSI
+    // Standard accuracy is 0.01
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Small Zone Emphasis with Large IBSI Phantom Image", 0.363, results["SliceWise Mean Grey Level Size Zone::Small Zone Emphasis"], 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Large Zone Emphasis with Large IBSI Phantom Image", 43.9, results["SliceWise Mean Grey Level Size Zone::Large Zone Emphasis"], 0.1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Low Grey Level Emphasis with Large IBSI Phantom Image", 0.371, results["SliceWise Mean Grey Level Size Zone::Low Grey Level Emphasis"], 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::High Grey Level Emphasis with Large IBSI Phantom Image", 16.4, results["SliceWise Mean Grey Level Size Zone::High Grey Level Emphasis"], 0.1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Small Zone Low Grey Level Emphasis with Large IBSI Phantom Image", 0.0259, results["SliceWise Mean Grey Level Size Zone::Small Zone Low Grey Level Emphasis"], 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Small Zone High Grey Level Emphasis with Large IBSI Phantom Image", 10.3, results["SliceWise Mean Grey Level Size Zone::Small Zone High Grey Level Emphasis"], 0.1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Large Zone Low Grey Level Emphasis with Large IBSI Phantom Image", 40.4, results["SliceWise Mean Grey Level Size Zone::Large Zone Low Grey Level Emphasis"], 1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Large Zone High Grey Level Emphasis with Large IBSI Phantom Image", 113, results["SliceWise Mean Grey Level Size Zone::Large Zone High Grey Level Emphasis"], 1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Grey Level Non-Uniformity with Large IBSI Phantom Image", 1.41, results["SliceWise Mean Grey Level Size Zone::Grey Level Non-Uniformity"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Grey Level Non-Uniformity Normalized with Large IBSI Phantom Image", 0.323, results["SliceWise Mean Grey Level Size Zone::Grey Level Non-Uniformity Normalized"], 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Size Non-Uniformity with Large IBSI Phantom Image", 1.49, results["SliceWise Mean Grey Level Size Zone::Zone Size Non-Uniformity"], 0.1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Size Non-Uniformity Normalized with Large IBSI Phantom Image", 0.333, results["SliceWise Mean Grey Level Size Zone::Zone Size Non-Uniformity Normalized"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Percentage with Large IBSI Phantom Image", 0.24, results["SliceWise Mean Grey Level Size Zone::Zone Percentage"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Grey Level Variance with Large IBSI Phantom Image", 3.97, results["SliceWise Mean Grey Level Size Zone::Grey Level Variance"], 0.01);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Size Variance with Large IBSI Phantom Image", 21, results["SliceWise Mean Grey Level Size Zone::Zone Size Variance"], 0.1);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Size Entropy with Large IBSI Phantom Image", 1.93, results["SliceWise Mean Grey Level Size Zone::Zone Size Entropy"], 0.01);
+    //CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone:: with Large IBSI Phantom Image", 0.045, results["SliceWise Mean Grey Level Size Zone::"], 0.001);
+
+    // These values are obtained by manually running the tool
+    // Values might be wrong.
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Grey Level Mean with Large IBSI Phantom Image", 3.526, results["SliceWise Mean Grey Level Size Zone::Grey Level Mean"], 0.001);
+    CPPUNIT_ASSERT_DOUBLES_EQUAL_MESSAGE("SliceWise Mean Grey Level Size Zone::Zone Size Mean with Large IBSI Phantom Image", 4.59524, results["SliceWise Mean Grey Level Size Zone::Zone Size Mean"], 0.001);
+  }
+
+};
+
+MITK_TEST_SUITE_REGISTRATION(mitkGIFCooc2 )
\ No newline at end of file