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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 <iostream>
#include "itkShiftScaleImageFilter.h"
#include "itkRandomImageSource.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkShiftScaleImageFilterTest(int, char *[])
{
std::cout << "itkShiftScaleImageFilterTest Start" << std::endl;
using TestInputImage = itk::Image<char, 3>;
using TestOutputImage = itk::Image<unsigned char, 3>;
using RealType = itk::NumericTraits<char>::RealType;
auto inputImage = TestInputImage::New();
TestInputImage::RegionType region;
TestInputImage::SizeType size;
size.Fill(64);
TestInputImage::IndexType index;
index.Fill(0);
region.SetIndex(index);
region.SetSize(size);
// first try a constant image
double fillValue = -100.0;
inputImage->SetRegions(region);
inputImage->Allocate();
inputImage->FillBuffer(static_cast<TestInputImage::PixelType>(fillValue));
using FilterType = itk::ShiftScaleImageFilter<TestInputImage, TestOutputImage>;
auto filter = FilterType::New();
// Set up Start, End and Progress callbacks
itk::SimpleFilterWatcher filterWatch(filter);
// Filter the image
filter->SetInput(inputImage);
filter->UpdateLargestPossibleRegion();
// Now generate a real image
using SourceType = itk::RandomImageSource<TestInputImage>;
auto source = SourceType::New();
TestInputImage::SizeValueType randomSize[3] = { 17, 8, 20 };
// Set up Start, End and Progress callbacks
itk::SimpleFilterWatcher sourceWatch(source);
// Set up source
source->SetSize(randomSize);
double minValue = -128.0;
double maxValue = 127.0;
source->SetMin(static_cast<TestInputImage::PixelType>(minValue));
source->SetMax(static_cast<TestInputImage::PixelType>(maxValue));
std::cout << source;
// Test GetMacros
RealType getShift = filter->GetShift();
std::cout << "filter->GetShift(): " << getShift << std::endl;
RealType getScale = filter->GetScale();
std::cout << "filter->GetScale(): " << getScale << std::endl;
long underflowCount = filter->GetUnderflowCount();
std::cout << "filter->GetUnderflowCount(): " << underflowCount << std::endl;
long overflowCount = filter->GetOverflowCount();
std::cout << "filter->GetOverflowCount(): " << overflowCount << std::endl;
filter->SetInput(source->GetOutput());
filter->SetScale(4.0);
ITK_TRY_EXPECT_NO_EXCEPTION(filter->UpdateLargestPossibleRegion());
return EXIT_SUCCESS;
}
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