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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 "itkGradientMagnitudeRecursiveGaussianImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
template <typename TImage1Type, typename TImage2Type>
class ImageInformationIsEqual
{
public:
static bool
Check(const TImage1Type * image1, const TImage2Type * image2)
{
if (image1->GetSpacing() != image2->GetSpacing())
{
return false;
}
if (image1->GetOrigin() != image2->GetOrigin())
{
return false;
}
if (image1->GetDirection() != image2->GetDirection())
{
return false;
}
return true;
}
};
int
itkGradientMagnitudeRecursiveGaussianFilterTest(int argc, char * argv[])
{
if (argc != 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " sigma normalizeAcrossScale" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int myDimension = 3;
using myImageType = itk::Image<float, myDimension>;
using myIndexType = itk::Index<myDimension>;
using mySizeType = itk::Size<myDimension>;
using myRegionType = itk::ImageRegion<myDimension>;
auto inputImage = myImageType::New();
mySizeType size;
size.Fill(8);
myIndexType start;
start.Fill(0);
myRegionType region{ start, size };
inputImage->SetRegions(region);
inputImage->AllocateInitialized();
// Set the metadata for the image
myImageType::PointType origin;
myImageType::SpacingType spacing;
myImageType::DirectionType direction;
origin[0] = 1.0;
origin[1] = 2.0;
origin[2] = 3.0;
spacing[0] = .1;
spacing[1] = .2;
spacing[2] = .3;
direction.SetIdentity();
direction(1, 1) = -1.0;
inputImage->SetSpacing(spacing);
inputImage->SetOrigin(origin);
inputImage->SetDirection(direction);
// Declare Iterator type for the input image
using myIteratorType = itk::ImageRegionIteratorWithIndex<myImageType>;
size.Fill(4);
start.Fill(2);
// Create one iterator for an internal region
region.SetSize(size);
region.SetIndex(start);
myIteratorType itb(inputImage, region);
// Initialize the content the internal region
while (!itb.IsAtEnd())
{
itb.Set(100.0);
++itb;
}
using myFilterType = itk::GradientMagnitudeRecursiveGaussianImageFilter<myImageType>;
using myGradientImageType = myFilterType::OutputImageType;
auto filter = myFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, GradientMagnitudeRecursiveGaussianImageFilter, InPlaceImageFilter);
itk::SimpleFilterWatcher watcher(filter);
auto sigma = static_cast<typename myFilterType::RealType>(std::stod(argv[1]));
filter->SetSigma(sigma);
ITK_TEST_SET_GET_VALUE(sigma, filter->GetSigma());
auto normalizeAcrossScale = static_cast<bool>(std::stoi(argv[2]));
ITK_TEST_SET_GET_BOOLEAN(filter, NormalizeAcrossScale, normalizeAcrossScale);
filter->SetInput(inputImage);
// Execute the filter
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Get the Smart Pointer to the Filter Output
// It is important to do it AFTER the filter is Updated
// Because the object connected to the output may be changed
// by another during GenerateData() call
myGradientImageType::Pointer outputImage = filter->GetOutput();
#ifndef NDEBUG
using myOutputIteratorType = itk::ImageRegionIteratorWithIndex<myGradientImageType>;
// Create an iterator for going through the output image
myOutputIteratorType itg(outputImage, outputImage->GetRequestedRegion());
// Print the content of the result image
std::cout << " Result " << std::endl;
itg.GoToBegin();
while (!itg.IsAtEnd())
{
std::cout << itg.Get() << std::endl;
++itg;
}
#endif
if (!ImageInformationIsEqual<myImageType, myImageType>::Check(inputImage, outputImage))
{
std::cout << "ImageInformation mismatch!" << std::endl;
std::cout << "inputImage Origin: " << inputImage->GetOrigin() << std::endl;
std::cout << "outputImage Origin: " << outputImage->GetOrigin() << std::endl;
std::cout << "inputImage Spacing: " << inputImage->GetSpacing() << std::endl;
std::cout << "outputImage Spacing: " << outputImage->GetSpacing() << std::endl;
std::cout << "inputImage Direction: " << inputImage->GetDirection() << std::endl;
std::cout << "outputImage Direction: " << outputImage->GetDirection() << std::endl;
return EXIT_FAILURE;
}
// check that the same filter is able to run on a smaller image
size.Fill(5);
region.SetSize(size);
inputImage->SetRegions(region);
inputImage->Allocate();
inputImage->FillBuffer(1);
// Execute the filter
ITK_TRY_EXPECT_NO_EXCEPTION(filter->UpdateLargestPossibleRegion());
// All objects should be automatically destroyed at this point
std::cout << std::endl << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
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