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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 "itkThresholdLabelerImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkTestingMacros.h"
int ThresholdLabelerImageFilterTestHelper( bool useRealTypeThresholds )
{
//
// The following code defines the input and output pixel types and their
// associated image types.
//
const unsigned int Dimension = 2;
typedef float InputPixelType;
typedef unsigned long LabeledPixelType;
typedef itk::Image< InputPixelType, Dimension > InputImageType;
typedef itk::Image< LabeledPixelType, Dimension > LabeledImageType;
// Create an image with stripes to label
InputImageType::IndexType index = {{0, 0}};
InputImageType::SizeType size = {{32, 32}};
InputImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
InputImageType::Pointer inputImage = InputImageType::New();
inputImage->SetLargestPossibleRegion(region);
inputImage->SetBufferedRegion(region);
inputImage->Allocate();
size[0] = 32;
size[1] = 8;
region.SetSize(size);
// Stripe y indexes
typedef std::vector<InputImageType::IndexType::IndexValueType> IndexValueVectorType;
IndexValueVectorType yindexes;
yindexes.push_back(0);
yindexes.push_back(8);
yindexes.push_back(16);
yindexes.push_back(24);
// Set the values for each stripe
std::vector<InputPixelType> values;
values.push_back(0.5);
values.push_back(1.5);
values.push_back(2.5);
values.push_back(3.5);
// Set the value for the offset
unsigned long offset = 4;
// Set the labels vector
std::vector<LabeledPixelType> labels;
labels.push_back(0 + offset);
labels.push_back(1 + offset);
labels.push_back(2 + offset);
labels.push_back(3 + offset);
// Fill in the image
unsigned int i;
IndexValueVectorType::const_iterator indexIter;
for (indexIter = yindexes.begin(), i = 0; indexIter != yindexes.end(); ++indexIter, ++i)
{
index[0] = 0;
index[1] = *indexIter;
region.SetIndex(index);
itk::ImageRegionIterator<InputImageType> iter(inputImage,region);
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
iter.Set(values[i]);
}
}
// Apply labeler filter
typedef itk::ThresholdLabelerImageFilter< InputImageType, LabeledImageType > LabelerFilterType;
LabelerFilterType::Pointer labelerFilter = LabelerFilterType::New();
EXERCISE_BASIC_OBJECT_METHODS( labelerFilter, ThresholdLabelerImageFilter,
UnaryFunctorImageFilter );
labelerFilter->SetInput(inputImage);
if( !useRealTypeThresholds )
{
// Set the thresholds between values
std::vector< InputPixelType > thresholds;
thresholds.push_back(1.0);
thresholds.push_back(2.0);
thresholds.push_back(3.0);
labelerFilter->SetThresholds(thresholds);
//TEST_SET_GET_VALUE( thresholds, labelerFilter->GetThresholds() );
}
else
{
// Set the thresholds between values
std::vector< LabelerFilterType::RealThresholdType > thresholds;
thresholds.push_back(1.0);
thresholds.push_back(2.0);
thresholds.push_back(3.0);
labelerFilter->SetRealThresholds(thresholds);
//TEST_SET_GET_VALUE( thresholds, labelerFilter->GetRealThresholds() );
}
labelerFilter->SetLabelOffset(offset);
TEST_SET_GET_VALUE( offset, labelerFilter->GetLabelOffset() );
try
{
labelerFilter->Update();
labelerFilter->SetFunctor(labelerFilter->GetFunctor());
}
catch(itk::ExceptionObject & excp)
{
std::cerr << excp << std::endl;
}
// Check if labels coincide with expected labels
bool passed = true;
for (indexIter = yindexes.begin(), i = 0; indexIter != yindexes.end(); ++indexIter, ++i)
{
index[0] = 0;
index[1] = *indexIter;
region.SetIndex(index);
itk::ImageRegionConstIterator<LabeledImageType> iter(labelerFilter->GetOutput(),region);
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
if (iter.Get() != labels[i])
{
passed = false;
break;
}
}
if (!passed)
{
break;
}
}
if (!passed)
{
std::cout << "Test failed." << std::endl;
std::cout << labelerFilter << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
int itkThresholdLabelerImageFilterTest( int, char *[] )
{
bool testStatus = EXIT_SUCCESS;
bool testStatusRealTypeThresholds = EXIT_SUCCESS;
bool testStatusNotRealTypeThresholds = EXIT_SUCCESS;
bool useRealTypeThresholds = true;
testStatusRealTypeThresholds = ThresholdLabelerImageFilterTestHelper( useRealTypeThresholds );
useRealTypeThresholds = false;
testStatusNotRealTypeThresholds = ThresholdLabelerImageFilterTestHelper( useRealTypeThresholds );
if( testStatusRealTypeThresholds == EXIT_SUCCESS &&
testStatusNotRealTypeThresholds == EXIT_SUCCESS )
{
std::cout << "TEST FINISHED SUCCESSFULLY!" << std::endl;
}
else
{
std::cout << "TEST FAILED!" << std::endl;
testStatus = EXIT_FAILURE;
}
return testStatus;
}
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