public void TestAlphaPartitionTreeBuilderMinTree()
{
IMaxTreeBuilder <float> builder_max = new MaxTreeBuilderSingleQueue <float>();
IAlphaPartitionTreeBuilder <float, float> builder_alfa_partition = new AlphaPartitionTreeBuilderMinTree <float, float>(new AlgebraRealFloat32(), builder_max);
TestTrivial0(builder_alfa_partition);
TestTrivial1(builder_alfa_partition);
TestSimple0(builder_alfa_partition);
TestSimple1(builder_alfa_partition);
}
public void TestTrival0()
{
IMaxTreeBuilder <float> builder_max = new MaxTreeBuilderSingleQueue <float>();
IAlphaPartitionTreeBuilder <float, float> builder_alfa_partition = new AlphaPartitionTreeBuilderMinTree <float, float>(new AlgebraRealFloat32(), builder_max);
ImageRaster3D <float> image = new ImageRaster3D <float>();
ITopologyElementEdge element_topology = new TopologyElementRaster3D6Connectivity(image.Raster).GetElementEdgeRasterTopology();
IFunctionDissimilarity <float, float> edge_function = new FunctionDistanceAbsoluteDifference();
IAlphaPartitionTree <float> tree = builder_alfa_partition.BuildAlphaPartitionTree(element_topology, edge_function, image.GetElementValues(false));
float [] values_input = new float [] { 555 };
FilterAlfaPartitionMean <float> filter = new FilterAlfaPartitionMean <float>(new AlgebraRealFloat32());
float[] values_filtered = filter.Filter(tree, values_input, 0, 0);
Assert.AreEqual(555, values_filtered[0]);
}
public void TestSimple0()
{
IMaxTreeBuilder <float> builder_max = new MaxTreeBuilderSingleQueue <float>();
IAlphaPartitionTreeBuilder <float, float> builder_alfa_partition = new AlphaPartitionTreeBuilderMinTree <float, float>(new AlgebraRealFloat32(), builder_max);
float[] values_input = new float[] { 1, 2, 2, 3, 4, 2, 4, 4, 1 };
ImageRaster3D <float> image = new ImageRaster3D <float>(9, 1, 1, values_input, false);
ITopologyElementEdge element_topology = new TopologyElementRaster3D6Connectivity(image.Raster).GetElementEdgeRasterTopology();
IFunctionDissimilarity <float, float> edge_function = new FunctionDistanceAbsoluteDifference();
IAlphaPartitionTree <float> tree = builder_alfa_partition.BuildAlphaPartitionTree(element_topology, edge_function, image.GetElementValues(false));
FilterAlfaPartitionMean <float> filter = new FilterAlfaPartitionMean <float>(new AlgebraRealFloat32());
int max_size = 1000;
float[] values_filtered05 = filter.Filter(tree, values_input, max_size, 0.5f);
float[] values_filtered15 = filter.Filter(tree, values_input, max_size, 1.5f);
float[] values_filtered25 = filter.Filter(tree, values_input, max_size, 2.5f);
}