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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 "itkEdgePotentialImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkImageRegionIterator.h"
int
itkEdgePotentialImageFilterTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int ImageDimension = 3;
// Declare the types of the images
using VectorType = itk::CovariantVector<double, ImageDimension>;
using InputImageType = itk::Image<VectorType, ImageDimension>;
using OutputImageType = itk::Image<float, ImageDimension>;
// Declare Iterator types apropriated for each image
using InputIteratorType = itk::ImageRegionIterator<InputImageType>;
using OutputIteratorType = itk::ImageRegionIterator<OutputImageType>;
// Declare the type of the index to access images
using IndexType = itk::Index<ImageDimension>;
// Declare the type of the size
using SizeType = itk::Size<ImageDimension>;
// Declare the type of the Region
using RegionType = itk::ImageRegion<ImageDimension>;
// Create two images
auto inputImage = InputImageType::New();
// Define their size, and start index
SizeType size;
size[0] = 2;
size[1] = 2;
size[2] = 2;
IndexType start;
start[0] = 0;
start[1] = 0;
start[2] = 0;
RegionType region;
region.SetIndex(start);
region.SetSize(size);
// Initialize input image
inputImage->SetRegions(region);
inputImage->Allocate();
// Create one iterator for the Input Image.
InputIteratorType it(inputImage, inputImage->GetBufferedRegion());
// Initialize the content input image
VectorType vec;
for (unsigned int j = 0; j < ImageDimension; ++j)
{
vec[j] = 10.0;
}
std::cout << "Content of the Input " << std::endl;
it.GoToBegin();
while (!it.IsAtEnd())
{
it.Set(vec);
std::cout << it.Get() << std::endl;
++it;
}
// create an EdgePotentialImageFilter
using FilterType = itk::EdgePotentialImageFilter<InputImageType, OutputImageType>;
auto filter = FilterType::New();
itk::SimpleFilterWatcher watcher(filter);
// Connect the input images
filter->SetInput(inputImage);
// Get the Smart Pointer to the Filter Output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Execute the filter
filter->Update();
// Create an iterator for going through the image output
OutputIteratorType ot(outputImage, outputImage->GetRequestedRegion());
// Check the content of the result image
std::cout << "Verification of the output " << std::endl;
const OutputImageType::PixelType epsilon = 1e-6;
ot.GoToBegin();
it.GoToBegin();
while (!ot.IsAtEnd())
{
const InputImageType::PixelType input = it.Get();
const OutputImageType::PixelType output = ot.Get();
const OutputImageType::PixelType pot = std::exp(-1.0 * (it.Get().GetNorm()));
std::cout << ot.Get() << " = ";
std::cout << pot << std::endl;
if (itk::Math::abs(pot - output) > epsilon)
{
std::cerr << "Error in itkEdgePotentialImageFilterTest " << std::endl;
std::cerr << " potential( " << input << ") = " << pot << std::endl;
std::cerr << " differs from " << output;
std::cerr << " by more than " << epsilon << std::endl;
return EXIT_FAILURE;
}
++ot;
++it;
}
return EXIT_SUCCESS;
}
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