diff --git a/Modules/Filtering/ImageStatistics/test/CMakeLists.txt b/Modules/Filtering/ImageStatistics/test/CMakeLists.txt
index 6e73d17b59d..bb07190348f 100644
--- a/Modules/Filtering/ImageStatistics/test/CMakeLists.txt
+++ b/Modules/Filtering/ImageStatistics/test/CMakeLists.txt
@@ -181,6 +181,7 @@ itk_add_test(NAME itkLabelOverlapMeasuresImageFilterTest
           DATA{Input/targetImage.nii.gz})
 
 set(ITKImageStatisticsGTests
+  itkLabelOverlapMeasuresImageFilterGTest.cxx
   itkMinimumMaximumImageFilterGTest.cxx)
 
 CreateGoogleTestDriver(ITKImageStatistics "${ITKImageStatistics-Test_LIBRARIES}" "${ITKImageStatisticsGTests}")
diff --git a/Modules/Filtering/ImageStatistics/test/itkLabelOverlapMeasuresImageFilterGTest.cxx b/Modules/Filtering/ImageStatistics/test/itkLabelOverlapMeasuresImageFilterGTest.cxx
new file mode 100644
index 00000000000..2c1dadf9b12
--- /dev/null
+++ b/Modules/Filtering/ImageStatistics/test/itkLabelOverlapMeasuresImageFilterGTest.cxx
@@ -0,0 +1,207 @@
+/*=========================================================================
+ *
+ *  Copyright NumFOCUS
+ *
+ *  Licensed under the Apache License, Version 2.0 (the "License");
+ *  you may not use this file except in compliance with the License.
+ *  You may obtain a copy of the License at
+ *
+ *         https://www.apache.org/licenses/LICENSE-2.0.txt
+ *
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ *
+ *=========================================================================*/
+
+#include "itkGTest.h"
+#include "itkImageFileReader.h"
+#include "itkPipelineMonitorImageFilter.h"
+#include "itkLabelOverlapMeasuresImageFilter.h"
+
+namespace
+{
+
+
+class LabelOverlapMeasuresImageFilterFixture : public ::testing::Test
+{
+public:
+  LabelOverlapMeasuresImageFilterFixture() = default;
+  ~LabelOverlapMeasuresImageFilterFixture() override = default;
+
+protected:
+  template <unsigned int D, typename TPixelType = unsigned short>
+  struct FixtureUtilities
+  {
+    static const unsigned int Dimension = D;
+    using PixelType = TPixelType;
+    using ImageType = itk::Image<PixelType, Dimension>;
+    using IndexType = typename ImageType::IndexType;
+
+    using SourceType = itk::ImageSource<ImageType>;
+    using FilterType = itk::LabelOverlapMeasuresImageFilter<ImageType>;
+
+
+    static typename ImageType::Pointer
+    CreateImage(PixelType fillValue = itk::NumericTraits<PixelType>::ZeroValue())
+    {
+      auto image = ImageType::New();
+
+      typename ImageType::SizeType imageSize;
+      imageSize.Fill(m_ImageSize);
+      typename ImageType::RegionType region(imageSize);
+      image->SetRegions(region);
+      image->Allocate();
+      image->FillBuffer(fillValue);
+
+
+      return image;
+    }
+  };
+
+  using Utils = FixtureUtilities<3, unsigned char>;
+  static const itk::SizeValueType m_ImageSize{ 128 };
+};
+
+} // namespace
+
+TEST_F(LabelOverlapMeasuresImageFilterFixture, test0)
+{
+  auto source = Utils::CreateImage(0);
+  auto target = Utils::CreateImage(0);
+
+  auto filter = Utils::FilterType::New();
+  filter->SetSourceImage(source);
+  filter->SetTargetImage(target);
+  filter->Update();
+
+  using RealType = Utils::FilterType::RealType;
+
+  EXPECT_EQ(filter->GetTotalOverlap(), itk::NumericTraits<RealType>::max());
+  EXPECT_EQ(filter->GetUnionOverlap(), itk::NumericTraits<RealType>::max());
+  EXPECT_EQ(filter->GetMeanOverlap(), itk::NumericTraits<RealType>::infinity());
+  EXPECT_EQ(filter->GetVolumeSimilarity(), itk::NumericTraits<RealType>::max());
+  EXPECT_EQ(filter->GetFalseNegativeError(), itk::NumericTraits<RealType>::max());
+  EXPECT_EQ(filter->GetFalsePositiveError(), itk::NumericTraits<RealType>::max());
+  EXPECT_EQ(filter->GetFalseDiscoveryRate(), itk::NumericTraits<RealType>::max());
+}
+
+
+TEST_F(LabelOverlapMeasuresImageFilterFixture, test1)
+{
+  auto source = Utils::CreateImage(0);
+  auto target = Utils::CreateImage(0);
+
+  auto idx1 = itk::MakeFilled<Utils::IndexType>(1);
+  source->SetPixel(idx1, 1);
+  target->SetPixel(idx1, 1);
+
+  auto filter = Utils::FilterType::New();
+  filter->SetSourceImage(source);
+  filter->SetTargetImage(target);
+  filter->Update();
+
+  EXPECT_NEAR(filter->GetTotalOverlap(), 1, 0.0);
+  EXPECT_NEAR(filter->GetUnionOverlap(), 1, 0.0);
+  EXPECT_NEAR(filter->GetMeanOverlap(), 1, 0.0);
+  EXPECT_NEAR(filter->GetDiceCoefficient(), 1, 0.0);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalseNegativeError(), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalsePositiveError(), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(), 0, 0.0);
+}
+
+
+TEST_F(LabelOverlapMeasuresImageFilterFixture, test2)
+{
+  auto source = Utils::CreateImage(0);
+  auto target = Utils::CreateImage(0);
+
+  auto idx1 = itk::MakeFilled<Utils::IndexType>(1);
+  source->SetPixel(idx1, 1);
+  target->SetPixel(idx1, 1);
+  ++idx1[0];
+  target->SetPixel(idx1, 1);
+
+  auto filter = Utils::FilterType::New();
+  filter->SetSourceImage(source);
+  filter->SetTargetImage(target);
+  filter->Update();
+
+  EXPECT_NEAR(filter->GetTotalOverlap(), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetUnionOverlap(), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetMeanOverlap(), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetDiceCoefficient(), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(), -2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetFalseNegativeError(), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetFalsePositiveError(), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(), 0, 0.0);
+
+
+  EXPECT_NEAR(filter->GetTargetOverlap(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetUnionOverlap(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetMeanOverlap(1), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetDiceCoefficient(1), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(1), -2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetFalseNegativeError(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetFalsePositiveError(1), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(1), 0, 0.0);
+}
+
+
+TEST_F(LabelOverlapMeasuresImageFilterFixture, test3)
+{
+  auto source = Utils::CreateImage(0);
+  auto target = Utils::CreateImage(0);
+
+  auto idx1 = itk::MakeFilled<Utils::IndexType>(1);
+  source->SetPixel(idx1, 1);
+  target->SetPixel(idx1, 1);
+  ++idx1[0];
+  target->SetPixel(idx1, 1);
+  auto idx2 = itk::MakeFilled<Utils::IndexType>(3);
+  source->SetPixel(idx2, 2);
+  target->SetPixel(idx2, 2);
+  ++idx2[2];
+  source->SetPixel(idx2, 2);
+  target->SetPixel(idx2, 2);
+  ++idx2[2];
+  source->SetPixel(idx2, 2);
+  ++idx2[2];
+
+
+  auto filter = Utils::FilterType::New();
+  filter->SetSourceImage(source);
+  filter->SetTargetImage(target);
+  filter->Update();
+
+  EXPECT_NEAR(filter->GetTotalOverlap(), 0.75, 1e-15);
+  EXPECT_NEAR(filter->GetUnionOverlap(), 3.0 / 5.0, 1e-15);
+  EXPECT_NEAR(filter->GetMeanOverlap(), 0.75, 1e-15);
+  EXPECT_NEAR(filter->GetDiceCoefficient(), 0.75, 1e-15);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(), 0, 1e-15);
+  EXPECT_NEAR(filter->GetFalseNegativeError(), 0.25, 1e-15);
+  EXPECT_NEAR(filter->GetFalsePositiveError(), 2.38418806475e-07, 1e-17);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(), 0.25, 1e-15);
+
+
+  EXPECT_NEAR(filter->GetTargetOverlap(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetUnionOverlap(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetMeanOverlap(1), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetDiceCoefficient(1), 2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(1), -2.0 / 3.0, 1e-15);
+  EXPECT_NEAR(filter->GetFalseNegativeError(1), 0.5, 0.0);
+  EXPECT_NEAR(filter->GetFalsePositiveError(1), 0, 0.0);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(1), 0, 0.0);
+
+  EXPECT_NEAR(filter->GetTargetOverlap(2), 1.0, 0.0);
+  EXPECT_NEAR(filter->GetUnionOverlap(2), 2.0 / 3.0, 2e-15);
+  EXPECT_NEAR(filter->GetMeanOverlap(2), 4.0 / 5.0, 1e-15);
+  EXPECT_NEAR(filter->GetDiceCoefficient(2), 4.0 / 5.0, 1e-15);
+  EXPECT_NEAR(filter->GetVolumeSimilarity(2), 2.0 / 5.0, 1e-15);
+  EXPECT_NEAR(filter->GetFalseNegativeError(2), 0.0, 0.0);
+  EXPECT_NEAR(filter->GetFalsePositiveError(2), 4.76837612950e-07, 1e-17);
+  EXPECT_NEAR(filter->GetFalseDiscoveryRate(2), 1.0 / 3.0, 0.0);
+}