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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 "itkJoinImageFilter.h"
#include "itkRGBAPixel.h"
#include "vnl/vnl_sample.h"
#include "itkImageRegionIterator.h"
#include "itkTestingMacros.h"
int
itkJoinImageFilterTest(int, char *[])
{
// Define the dimension of the images
constexpr unsigned int myDimension = 2;
// Declare the types of the images
using myImageType1 = itk::Image<char, myDimension>;
using myImageType2 = itk::Image<itk::Vector<unsigned short, 2>, myDimension>;
using myImageType3 = itk::Image<itk::RGBAPixel<short>, 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 three images
auto inputImageA = myImageType1::New();
auto inputImageB = myImageType2::New();
auto inputImageC = myImageType3::New();
// Define their size, and start index
mySizeType size;
size[0] = 5;
size[1] = 8;
myIndexType start;
start[0] = 0;
start[1] = 0;
myRegionType region{ start, size };
// Initialize Image A
inputImageA->SetRegions(region);
inputImageA->Allocate();
// Initialize Image B
inputImageB->SetRegions(region);
inputImageB->Allocate();
// Initialize Image C
inputImageC->SetRegions(region);
inputImageC->Allocate();
// Declare Iterator types apropriated for each image
using myIteratorType1 = itk::ImageRegionIterator<myImageType1>;
using myIteratorType2 = itk::ImageRegionIterator<myImageType2>;
using myIteratorType3 = itk::ImageRegionIterator<myImageType3>;
// Create one iterator for Image A (this is a light object)
myIteratorType1 it1(inputImageA, region);
// Initialize the content of Image A
std::cout << "Image #1 " << std::endl;
while (!it1.IsAtEnd())
{
it1.Set(static_cast<char>(vnl_sample_uniform(0, 255)));
std::cout << static_cast<int>(it1.Get()) << std::endl;
++it1;
}
// Create one iterator for Image B (this is a light object)
myIteratorType2 it2(inputImageB, region);
// Initialize the content of Image B
std::cout << std::endl;
std::cout << "Image #2 " << std::endl;
itk::Vector<unsigned short, 2> vec;
while (!it2.IsAtEnd())
{
vec[0] = static_cast<unsigned short>(vnl_sample_uniform(0, 32765));
vec[1] = static_cast<unsigned short>(vnl_sample_uniform(0, 32765));
it2.Set(vec);
std::cout << it2.Get() << std::endl;
++it2;
}
// Create one iterator for Image C (this is a light object)
myIteratorType3 itRGBA(inputImageC, region);
// Initialize the content of Image C
std::cout << std::endl;
std::cout << "Image #3 " << std::endl;
itk::RGBAPixel<short> rgbaVec;
while (!itRGBA.IsAtEnd())
{
rgbaVec[0] = static_cast<short>(vnl_sample_uniform(0, 255));
rgbaVec[1] = static_cast<short>(vnl_sample_uniform(0, 255));
rgbaVec[2] = static_cast<short>(vnl_sample_uniform(0, 255));
rgbaVec[3] = static_cast<short>(vnl_sample_uniform(0, 255));
itRGBA.Set(rgbaVec);
// std::cout << itRGBA.Get() << std::endl;
++itRGBA;
}
// Declare the types for the Join Filters
using myFilterType = itk::JoinImageFilter<myImageType1, myImageType2>;
using myFilterType1 = itk::JoinImageFilter<myImageType2, myImageType1>;
using myFilterType2 = itk::JoinImageFilter<myImageType1, myImageType1>;
using myFilterType3 = itk::JoinImageFilter<myFilterType::OutputImageType, myImageType3>;
using myFilterType4 = itk::JoinImageFilter<myImageType2, myImageType2>;
using myOutputIteratorType = itk::ImageRegionIterator<myFilterType::OutputImageType>;
using myOutputIteratorType1 = itk::ImageRegionIterator<myFilterType1::OutputImageType>;
using myOutputIteratorType2 = itk::ImageRegionIterator<myFilterType2::OutputImageType>;
using myOutputIteratorType3 = itk::ImageRegionIterator<myFilterType3::OutputImageType>;
using myOutputIteratorType4 = itk::ImageRegionIterator<myFilterType4::OutputImageType>;
//
// Join image #1 and #2
//
// Setup a JoinImageFilter
auto filter = myFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, JoinImageFilter, BinaryGeneratorImageFilter);
filter->SetInput1(inputImageA);
filter->SetInput2(inputImageB);
//
// Join image #1#2 and #3
//
// Setup a JoinImageFilter
auto filter123 = myFilterType3::New();
filter123->SetInput1(filter->GetOutput());
filter123->SetInput2(inputImageC);
filter123->Update(); // This Update will force filter to execute, then filter123
// Create an iterator for going through the image #1#2
myFilterType::OutputImageType::Pointer outputImage = filter->GetOutput();
myOutputIteratorType it3(outputImage, outputImage->GetRequestedRegion());
// Print the content of the result image
std::cout << std::endl;
std::cout << "Joining #1 and #2 image " << std::endl;
while (!it3.IsAtEnd())
{
std::cout << it3.Get() << std::endl;
++it3;
}
// Create an iterator for going through the image #1#2#3
myFilterType3::OutputImageType::Pointer outputImage123 = filter123->GetOutput();
myOutputIteratorType3 it123(outputImage123, outputImage123->GetRequestedRegion());
// Print the content of the result image
std::cout << std::endl;
std::cout << "Joining #1#2 and #3 image " << std::endl;
while (!it123.IsAtEnd())
{
std::cout << it123.Get() << std::endl;
++it123;
}
//
// Join image #2 and #1
//
// Setup a JoinImageFilter
auto filter1 = myFilterType1::New();
filter1->SetInput1(inputImageB);
filter1->SetInput2(inputImageA);
filter1->Update();
// Create an iterator for going through the image output
myFilterType1::OutputImageType::Pointer outputImage1 = filter1->GetOutput();
myOutputIteratorType1 it4(outputImage1, outputImage1->GetRequestedRegion());
// Print the content of the result image
std::cout << std::endl;
std::cout << "Joining #2 and #1 image " << std::endl;
while (!it4.IsAtEnd())
{
std::cout << it4.Get() << std::endl;
++it4;
}
//
// Join image #1 and #1
//
// Setup a JoinImageFilter
auto filter2 = myFilterType2::New();
filter2->SetInput1(inputImageA);
filter2->SetInput2(inputImageA);
filter2->Update();
// Create an iterator for going through the image output
myFilterType2::OutputImageType::Pointer outputImage2 = filter2->GetOutput();
myOutputIteratorType2 it5(outputImage2, outputImage2->GetRequestedRegion());
// Print the content of the result image
std::cout << "Joining #1 and #1 image " << std::endl;
while (!it5.IsAtEnd())
{
std::cout << static_cast<int>(it5.Get()[0]) << " " << static_cast<int>(it5.Get()[1]) << std::endl;
++it5;
}
//
// Join image #2 and #2
//
// Setup a JoinImageFilter
auto filter4 = myFilterType4::New();
filter4->SetInput1(inputImageB);
filter4->SetInput2(inputImageB);
filter4->Update();
// Create an iterator for going through the image output
myFilterType4::OutputImageType::Pointer outputImage4 = filter4->GetOutput();
myOutputIteratorType4 it6(outputImage4, outputImage4->GetRequestedRegion());
// Print the content of the result image
std::cout << "Joining #2 and #2 image " << std::endl;
while (!it6.IsAtEnd())
{
std::cout << it6.Get() << std::endl;
++it6;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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