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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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkLabelToRGBImageFilter.h"
#include "itkTestingMacros.h"
int
itkLabelToRGBImageFilterTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " LabelImage OutputImage" << std::endl;
return EXIT_FAILURE;
}
constexpr int Dimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
using ColorPixelType = itk::RGBPixel<unsigned char>;
using ColorImageType = itk::Image<ColorPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
// Read in the input image
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
// Instantiate the filter
using FilterType = itk::LabelToRGBImageFilter<ImageType, ColorImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, LabelToRGBImageFilter, UnaryFunctorImageFilter);
// Exercising Background Value methods
typename FilterType::LabelPixelType backgroundValue = 10;
filter->SetBackgroundValue(backgroundValue);
ITK_TEST_SET_GET_VALUE(backgroundValue, filter->GetBackgroundValue());
typename FilterType::OutputPixelType backgroundColor;
backgroundColor.Fill(typename FilterType::OutputPixelValueType{});
filter->SetBackgroundColor(backgroundColor);
ITK_TEST_SET_GET_VALUE(backgroundColor, filter->GetBackgroundColor());
// Set the filter input and label images
filter->SetInput(reader->GetOutput());
backgroundValue = 0;
filter->SetBackgroundValue(backgroundValue);
itk::SimpleFilterWatcher watcher(filter, "filter");
// Instantiate output image
using WriterType = itk::ImageFileWriter<ColorImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// exercise the methods to change the colors
unsigned int numberOfColors1 = filter->GetNumberOfColors();
filter->AddColor(1, 255, 255);
unsigned int numberOfColors2 = filter->GetNumberOfColors();
if (numberOfColors2 != numberOfColors1 + 1)
{
std::cerr << "Error in GetNumberOfColors() or AddColor() " << std::endl;
return EXIT_FAILURE;
}
filter->ResetColors();
filter->AddColor(255, 255, 255);
unsigned int numberOfColors3 = filter->GetNumberOfColors();
if (numberOfColors3 != 1)
{
std::cerr << "Error in GetNumberOfColors() or ResetColors() or AddColor() " << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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