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itkMaskNegatedImageFilterTest.cxx
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itkMaskNegatedImageFilterTest.cxx
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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 "itkImageRegionIteratorWithIndex.h"
#include "itkMaskNegatedImageFilter.h"
#include "itkVectorImage.h"
#include "itkTestingMacros.h"
int
itkMaskNegatedImageFilterTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int myDimension = 3;
// Declare the types of the images
using InputImageType = itk::Image<float, myDimension>;
using MaskImageType = itk::Image<unsigned short, myDimension>;
using OutputImageType = itk::Image<float, myDimension>;
// Declare the type of the index to access images
using myIndexType = itk::Index<myDimension>;
// Declare the type of the size
using mySizeType = itk::Size<myDimension>;
// Declare the type of the Region
using myRegionType = itk::ImageRegion<myDimension>;
// Create two images
auto inputImage = InputImageType::New();
auto inputMask = MaskImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = 2;
size[1] = 2;
size[2] = 2;
myIndexType start;
start[0] = 0;
start[1] = 0;
start[2] = 0;
myRegionType region;
region.SetIndex(start);
region.SetSize(size);
// Initialize the image
inputImage->SetRegions(region);
inputImage->Allocate();
// Initialize the mask
inputMask->SetRegions(region);
inputMask->Allocate();
// Declare Iterator types apropriated for each image
using InputIteratorType = itk::ImageRegionIteratorWithIndex<InputImageType>;
using MaskIteratorType = itk::ImageRegionIteratorWithIndex<MaskImageType>;
using OutputIteratorType = itk::ImageRegionIteratorWithIndex<OutputImageType>;
// Create one iterator for Image A (this is a light object)
InputIteratorType inputIterator(inputImage, inputImage->GetBufferedRegion());
// Initialize the content of Image A
std::cout << "First operand " << std::endl;
while (!inputIterator.IsAtEnd())
{
inputIterator.Set(255.0);
std::cout << inputIterator.Get() << std::endl;
++inputIterator;
}
// Create one iterator for Image B (this is a light object)
MaskIteratorType maskIterator(inputMask, inputMask->GetBufferedRegion());
// Initialize the content of Image B
// Set to mask first 2 pixels and last 2 pixels and leave the rest as is
std::cout << "Second operand " << std::endl;
for (unsigned int i = 0; i < 2; ++i, ++maskIterator)
{
maskIterator.Set(0);
}
while (!maskIterator.IsAtEnd())
{
maskIterator.Set(3);
++maskIterator;
}
for (unsigned int i = 0; i < 3; ++i, --maskIterator)
{
maskIterator.Set(0);
}
maskIterator.GoToBegin();
while (!maskIterator.IsAtEnd())
{
std::cout << maskIterator.Get() << std::endl;
++maskIterator;
}
// Declare the type for the MaskNegated filter
using myFilterType = itk::MaskNegatedImageFilter<InputImageType, MaskImageType, OutputImageType>;
// Create an MaskNegated Filter
auto filter = myFilterType::New();
// Connect the input images
filter->SetInput1(inputImage);
filter->SetInput2(inputMask);
filter->SetOutsideValue(50);
// 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 outputIterator(outputImage, outputImage->GetBufferedRegion());
// Print the content of the result image
std::cout << " Result " << std::endl;
while (!outputIterator.IsAtEnd())
{
std::cout << outputIterator.Get() << std::endl;
++outputIterator;
}
filter->Print(std::cout);
// Test named mutator/accessors
{
filter->SetMaskImage(inputMask);
myFilterType::MaskImageType::ConstPointer retrievedMask = filter->GetMaskImage();
if (retrievedMask != inputMask)
{
std::cerr << "Mask not retrieved successfully!" << std::endl;
return EXIT_FAILURE;
}
}
// Vector image tests
using myVectorImageType = itk::VectorImage<float, myDimension>;
auto inputVectorImage = myVectorImageType::New();
inputVectorImage->SetRegions(region);
inputVectorImage->SetNumberOfComponentsPerPixel(3);
inputVectorImage->Allocate();
using myVectorFilterType = itk::MaskNegatedImageFilter<myVectorImageType, MaskImageType, myVectorImageType>;
auto vectorFilter = myVectorFilterType::New();
vectorFilter->SetInput1(inputVectorImage);
vectorFilter->SetMaskImage(inputMask);
myVectorImageType::PixelType outsideValue = vectorFilter->GetOutsideValue();
ITK_TEST_EXPECT_EQUAL(outsideValue.GetSize(), 0);
ITK_TRY_EXPECT_NO_EXCEPTION(vectorFilter->Update());
// Check that the outside value consists of three zeros.
myVectorImageType::PixelType outsideValue3 = vectorFilter->GetOutsideValue();
myVectorImageType::PixelType threeZeros(3);
threeZeros.Fill(0.0f);
ITK_TEST_EXPECT_EQUAL(outsideValue3, threeZeros);
// Reset the outside value to zero vector of length 23.
myVectorImageType::PixelType zeros23(23);
zeros23.Fill(1.0f);
vectorFilter->SetOutsideValue(zeros23);
ITK_TRY_EXPECT_EXCEPTION(vectorFilter->Update());
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}