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/*=========================================================================
*
* 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 <iostream>
#include "itkDiscreteGaussianImageFilter.h"
#include "itkNullImageToImageFilterDriver.hxx"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
#include "itkConstantBoundaryCondition.h"
/** Check basic image filter parameters and operations */
int
itkDiscreteGaussianImageFilterTest(int argc, char * argv[])
{
if (argc != 2)
{
std::cerr << "Missing Parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " useImageSpacing" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
using PixelType = float;
using ImageType = itk::Image<PixelType, Dimension>;
// Set up filter
using FilterType = itk::DiscreteGaussianImageFilter<ImageType, ImageType>;
using ArrayType = FilterType::ArrayType;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, DiscreteGaussianImageFilter, ImageToImageFilter);
itk::SimpleFilterWatcher watcher(filter);
// Test other set/get functions
ArrayType array;
array[0] = 0.05;
array[1] = 0.06;
array[2] = 0.07;
filter->SetMaximumError(array);
array.Fill(0.04);
filter->SetMaximumError(array.GetDataPointer());
// Set the value of the standard deviation of the Gaussian used for smoothing
FilterType::SigmaArrayType::ValueType sigmaValue = 1.0;
FilterType::SigmaArrayType sigma;
sigma.Fill(sigmaValue);
filter->SetSigma(sigmaValue);
ITK_TEST_SET_GET_VALUE(sigmaValue, filter->GetSigma());
filter->SetSigma(sigma);
ITK_TEST_SET_GET_VALUE(sigma, filter->GetSigmaArray());
filter->SetSigmaArray(sigma);
ITK_TEST_SET_GET_VALUE(sigma, filter->GetSigmaArray());
// Set the boundary condition used by the filter
itk::ConstantBoundaryCondition<ImageType> constantBoundaryCondition;
filter->SetInputBoundaryCondition(&constantBoundaryCondition);
ITK_TEST_SET_GET_VALUE(&constantBoundaryCondition, filter->GetInputBoundaryCondition());
filter->SetRealBoundaryCondition(&constantBoundaryCondition);
ITK_TEST_SET_GET_VALUE(&constantBoundaryCondition, filter->GetRealBoundaryCondition());
// Set other filter properties
FilterType::ArrayType::ValueType varianceValue = 1.0;
FilterType::ArrayType variance;
variance.Fill(varianceValue);
filter->SetVariance(variance);
ITK_TEST_SET_GET_VALUE(variance, filter->GetVariance());
FilterType::ArrayType::ValueType maximumErrorValue = 0.01;
FilterType::ArrayType maximumError;
maximumError.Fill(maximumErrorValue);
filter->SetMaximumError(maximumError);
ITK_TEST_SET_GET_VALUE(maximumError, filter->GetMaximumError());
unsigned int maximumKernelWidth = 32;
filter->SetMaximumKernelWidth(maximumKernelWidth);
ITK_TEST_SET_GET_VALUE(maximumKernelWidth, filter->GetMaximumKernelWidth());
filter->SetFilterDimensionality(Dimension);
ITK_TEST_SET_GET_VALUE(Dimension, filter->GetFilterDimensionality());
// Verify kernel radius matches expectations for test parameters
filter->UseImageSpacingOff();
constexpr unsigned int EXPECTED_RADIUS = 3;
auto radius = filter->GetKernelRadius();
auto kernelSize = filter->GetKernelSize();
for (unsigned int idx = 0; idx < Dimension; ++idx)
{
ITK_TEST_EXPECT_EQUAL(radius[idx], EXPECTED_RADIUS);
ITK_TEST_EXPECT_EQUAL(filter->GetKernelRadius(idx), EXPECTED_RADIUS);
ITK_TEST_EXPECT_EQUAL(kernelSize[idx], EXPECTED_RADIUS * 2 + 1);
}
// Verify filter throws exception when trying to get kernel information
// if UseImageSpacing is ON and an input image is not set
filter->UseImageSpacingOn();
ITK_TRY_EXPECT_EXCEPTION(filter->GetKernelRadius());
ITK_TRY_EXPECT_EXCEPTION(filter->GetKernelRadius(0));
ITK_TRY_EXPECT_EXCEPTION(filter->GetKernelSize());
auto useImageSpacing = static_cast<bool>(std::stoi(argv[1]));
#if !defined(ITK_FUTURE_LEGACY_REMOVE)
if (useImageSpacing)
{
filter->SetUseImageSpacingOn();
}
else
{
filter->SetUseImageSpacingOff();
}
#endif
ITK_TEST_SET_GET_BOOLEAN(filter, UseImageSpacing, useImageSpacing);
// Run test
itk::Size<3> sz;
sz[0] = 100; // std::stoi(argv[1]);
sz[1] = 100; // std::stoi(argv[2]);
sz[2] = 40;
itk::NullImageToImageFilterDriver<ImageType, ImageType> test1;
test1.SetImageSize(sz);
test1.SetFilter(filter);
ITK_TRY_EXPECT_NO_EXCEPTION(test1.Execute());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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