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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 <set>
#include "itkGaussianDerivativeOperator.h"
#include "itkStdStreamStateSave.h"
#include "itkTestingMacros.h"
namespace
{
bool
TestGaussianOperator(double variance, double error, unsigned int width, unsigned int order, double spacing)
{
using GaussianOp = itk::GaussianDerivativeOperator<double, 1>;
std::cout << "Testing variance: " << variance << " error: " << error << " width: " << width << " order: " << order
<< " spacing: " << spacing << std::endl;
GaussianOp op;
const bool normalizeAcrossScale = false;
ITK_TEST_SET_GET_BOOLEAN((&op), NormalizeAcrossScale, normalizeAcrossScale);
op.SetVariance(variance);
ITK_TEST_SET_GET_VALUE(variance, op.GetVariance());
op.SetMaximumError(error);
ITK_TEST_SET_GET_VALUE(error, op.GetMaximumError());
op.SetMaximumKernelWidth(width);
ITK_TEST_SET_GET_VALUE(width, op.GetMaximumKernelWidth());
op.SetOrder(order);
ITK_TEST_SET_GET_VALUE(order, op.GetOrder());
op.SetSpacing(spacing);
ITK_TEST_SET_GET_VALUE(spacing, op.GetSpacing());
op.CreateDirectional();
double total = std::accumulate(op.Begin(), op.End(), 0.0);
std::cout << "total: " << total << std::endl;
std::cout.precision(16);
const double epsilon = itk::NumericTraits<double>::epsilon() * 32;
if (order == 0 && itk::Math::abs(total - 1.0) > epsilon)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in coefficients." << std::endl;
std::cerr << "Expected coefficients to sum to 1.0: " << std::endl;
std::cerr << "Actual value: " << total << std::endl;
std::cerr << " differs from 1.0 ";
std::cerr << " by more than " << epsilon << std::endl;
}
else if (order != 0 && itk::Math::abs(total) > epsilon)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in coefficients." << std::endl;
std::cerr << "Expected coefficients to sum to 0.0." << std::endl;
std::cerr << "Actual value: " << total << std::endl;
std::cerr << " differs from 0.0 ";
std::cerr << " by more than " << epsilon << std::endl;
}
else
{
return true;
}
std::cout << "---operator---" << std::endl;
GaussianOp::Iterator i = op.Begin();
i += op.Size() / 2;
for (; i != op.End(); ++i)
{
std::cout << *i << std::endl;
}
std::cout << "---end--" << std::endl;
return false;
}
} // namespace
int
itkGaussianDerivativeOperatorTest(int argc, char * argv[])
{
// Save the format stream variables for std::cout
// They will be restored when coutState goes out of scope.
itk::StdStreamStateSave coutState(std::cout);
if (argc == 6)
{
double variance = std::stod(argv[1]);
double error = std::stod(argv[2]);
unsigned int width = std::stoi(argv[3]);
unsigned int order = std::stoi(argv[4]);
double spacing = std::stod(argv[5]);
TestGaussianOperator(variance, error, width, order, spacing);
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
else if (argc > 1)
{
std::cerr << "Missing Parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " [variance error width order spacing]"
<< std::endl;
return EXIT_FAILURE;
}
// At this point, obviously, argc <= 1. In some scenarios, argc == 0, typically when
// the test function is called from the interactive TestDriver commandline interface,
// by having the user entering its test number. On the other hand, argc == 1 when the
// the TestDriver has the name of the test function as its only commandline argument.
// In either way the tests below here should be performed.
// Exercise code
using GaussianOp = itk::GaussianDerivativeOperator<double, 3>;
GaussianOp op1;
ITK_EXERCISE_BASIC_OBJECT_METHODS((&op1), GaussianDerivativeOperator, NeighborhoodOperator);
GaussianOp op2;
// Check assignment
op2 = op1;
bool testStatus = true;
testStatus &= TestGaussianOperator(.2, .001, 30, 0, 1.0);
testStatus &= TestGaussianOperator(.2, .001, 30, 1, 1.0);
testStatus &= TestGaussianOperator(.2, .001, 30, 2, 1.0);
testStatus &= TestGaussianOperator(.2, .001, 30, 3, 1.0);
testStatus &= TestGaussianOperator(.2, .001, 30, 4, 1.0);
testStatus &= TestGaussianOperator(1, .001, 30, 0, 1.0);
testStatus &= TestGaussianOperator(1, .001, 30, 1, 1.0);
testStatus &= TestGaussianOperator(1, .001, 30, 2, 1.0);
testStatus &= TestGaussianOperator(1, .001, 30, 3, 1.0);
testStatus &= TestGaussianOperator(1, .001, 30, 4, 1.0);
testStatus &= TestGaussianOperator(10, .001, 30, 0, 1.0);
testStatus &= TestGaussianOperator(10, .001, 30, 1, 1.0);
testStatus &= TestGaussianOperator(10, .0001, 100, 1, 1.0);
testStatus &= TestGaussianOperator(50, .001, 300, 0, 1.0);
// Test streaming enumeration for GaussianDerivativeOperatorEnums::InterpolationMode elements
const std::set<itk::GaussianDerivativeOperatorEnums::InterpolationMode> allInterpolationMode{
itk::GaussianDerivativeOperatorEnums::InterpolationMode::NearestNeighbourInterpolation,
itk::GaussianDerivativeOperatorEnums::InterpolationMode::LinearInterpolation
};
for (const auto & ee : allInterpolationMode)
{
std::cout << "STREAMED ENUM VALUE GaussianDerivativeOperatorEnums::InterpolationMode: " << ee << std::endl;
}
std::cout << "Test finished." << std::endl;
if (testStatus)
{
return EXIT_SUCCESS;
}
else
{
return EXIT_FAILURE;
}
}
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