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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 "itkMeanImageFunction.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
int
itkMeanImageFunctionTest(int, char *[])
{
int testStatus = EXIT_SUCCESS;
constexpr unsigned int Dimension = 3;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
using FunctionType = itk::MeanImageFunction<ImageType>;
// Create and allocate the image
auto image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
size[0] = 50;
size[1] = 50;
size[2] = 50;
start.Fill(0);
region.SetIndex(start);
region.SetSize(size);
image->SetRegions(region);
image->Allocate();
ImageType::PixelType initialValue = 27;
image->FillBuffer(initialValue);
auto function = FunctionType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(function, MeanImageFunction, ImageFunction);
function->SetInputImage(image);
unsigned int neighborhoodRadius = 5;
function->SetNeighborhoodRadius(neighborhoodRadius);
ITK_TEST_SET_GET_VALUE(neighborhoodRadius, function->GetNeighborhoodRadius());
ImageType::IndexType index;
index[0] = 25;
index[1] = 25;
index[2] = 25;
FunctionType::RealType mean;
mean = function->EvaluateAtIndex(index);
double epsilon = 1e-7;
if (!itk::Math::FloatAlmostEqual(static_cast<FunctionType::RealType>(initialValue), mean, 10, epsilon))
{
std::cout.precision(static_cast<unsigned int>(itk::Math::abs(std::log10(epsilon))));
std::cout << "Mean value (" << mean << ") does not equal initialValue (" << initialValue << ')' << std::endl;
testStatus = EXIT_FAILURE;
}
// Test Evaluate
FunctionType::PointType point;
point[0] = 25;
point[1] = 25;
point[2] = 25;
FunctionType::RealType mean2;
mean2 = function->Evaluate(point);
if (!itk::Math::FloatAlmostEqual(static_cast<FunctionType::RealType>(initialValue), mean2, 10, epsilon))
{
std::cout.precision(static_cast<unsigned int>(itk::Math::abs(std::log10(epsilon))));
std::cout << "Mean value (" << mean2 << ") does not equal initialValue (" << initialValue << ')' << std::endl;
testStatus = EXIT_FAILURE;
}
// Test EvaluateAtContinuousIndex
FunctionType::ContinuousIndexType cindex;
cindex[0] = 25;
cindex[1] = 25;
cindex[2] = 25;
FunctionType::RealType mean3;
mean3 = function->EvaluateAtContinuousIndex(cindex);
if (!itk::Math::FloatAlmostEqual(static_cast<FunctionType::RealType>(initialValue), mean3, 10, epsilon))
{
std::cout.precision(static_cast<unsigned int>(itk::Math::abs(std::log10(epsilon))));
std::cout << "Mean value (" << mean3 << ") does not equal initialValue (" << initialValue << ')' << std::endl;
testStatus = EXIT_FAILURE;
}
return testStatus;
}
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