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/*
* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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 "otbImage.h"
#include "otbVectorImage.h"
#include "otbGridResampleImageFilter.h"
#include "itkResampleImageFilter.h"
#include "itkGaussianImageSource.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
#include "itkIdentityTransform.h"
#include "otbDifferenceImageFilter.h"
#include "itkStreamingImageFilter.h"
#include "otbImageFileWriter.h"
int otbGridResampleImageFilter(int itkNotUsed(argc), char * itkNotUsed(argv)[])
{
// This test is only to check that filter builds with VectorImage
// too
typedef otb::VectorImage<double> VectorImageType;
typedef otb::GridResampleImageFilter<VectorImageType,VectorImageType> VectorFilterType;
VectorFilterType::Pointer vectorFilter = VectorFilterType::New();
typedef otb::Image<double> ImageType;
typedef otb::GridResampleImageFilter<ImageType,ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
typedef itk::ResampleImageFilter<ImageType,ImageType> RefFilterType;
RefFilterType::Pointer refFilter = RefFilterType::New();
// We will resample a random image with GridResampleImageFilter and
// ResampleImageFilter, and check that outputs are the same
typedef itk::Statistics::MersenneTwisterRandomVariateGenerator RandomGeneratorType;
RandomGeneratorType::Pointer randomGenerator = RandomGeneratorType::GetInstance();
ImageType::SizeType size;
size.Fill(1000);
ImageType::RegionType region;
region.SetSize(size);
ImageType::Pointer randomImage = ImageType::New();
randomImage->SetRegions(region);
randomImage->Allocate();
typedef itk::ImageRegionIterator<ImageType> IteratorType;
IteratorType iter(randomImage,region);
for (iter.GoToBegin() ; !iter.IsAtEnd() ; ++iter)
{
iter.Set(randomGenerator->GetUniformVariate(0.0, 1.0) * 1000);
}
filter->SetInput(randomImage);
refFilter->SetInput(randomImage);
typedef itk::IdentityTransform<double,2> IdentityTransformType;
IdentityTransformType::Pointer idTransform = IdentityTransformType::New();
refFilter->SetTransform(idTransform);
ImageType::SpacingType spacing;
spacing[0]=0.12;
spacing[1]=-0.19;
ImageType::PointType origin;
origin[0]=11;
origin[1]=17;
ImageType::SizeType outSize;
outSize.Fill(103);
ImageType::DirectionType direction;
direction.SetIdentity();
ImageType::SpacingType uspacing;
for ( unsigned int i = 0 ; i < ImageType::ImageDimension ; i++ )
{
if ( spacing[i] < 0 )
{
uspacing[i] = -spacing[i];
for (unsigned int j = 0 ; j < ImageType::ImageDimension ; j++)
{
direction[j][i] = -direction[j][i];
}
}
else
uspacing[i] = spacing[i];
}
filter->SetOutputSize(outSize);
filter->SetOutputOrigin(origin);
filter->SetOutputSpacing(spacing);
refFilter->SetSize(outSize);
refFilter->SetOutputOrigin(origin);
refFilter->SetOutputSpacing(uspacing);
refFilter->SetOutputDirection(direction);
typedef otb::DifferenceImageFilter<ImageType,ImageType> ComparisonFilterType;
typedef itk::StreamingImageFilter<ImageType,ImageType> StreamingFilterType;
StreamingFilterType::Pointer streamingRef = StreamingFilterType::New();
streamingRef->SetInput(refFilter->GetOutput());
streamingRef->SetNumberOfStreamDivisions(10);
StreamingFilterType::Pointer streaming = StreamingFilterType::New();
streaming->SetInput(filter->GetOutput());
streaming->SetNumberOfStreamDivisions(10);
ComparisonFilterType::Pointer comparisonFilter = ComparisonFilterType::New();
comparisonFilter->SetValidInput(streamingRef->GetOutput());
comparisonFilter->SetTestInput(streaming->GetOutput());
comparisonFilter->SetDifferenceThreshold(1e-9);
comparisonFilter->Update();
unsigned int nbPixelsWithDiff = comparisonFilter->GetNumberOfPixelsWithDifferences();
std::cout<<"Number of pixels with differences: "<<nbPixelsWithDiff<<std::endl;
if(nbPixelsWithDiff)
{
std::cerr<<"Output of itk::GridResampleImageFilter does not match output of itk::ResampleImageFilter with same parameters"<<std::endl;
typedef otb::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput(comparisonFilter->GetOutput());
writer->SetFileName("otbGridResampleImageFilterTestOutput.tif");
writer->Update();
writer = WriterType::New();
writer->SetInput(streamingRef->GetOutput());
writer->SetFileName("otbGridResampleImageFilterTestOutput1.tif");
writer->Update();
writer = WriterType::New();
writer->SetInput(streaming->GetOutput());
writer->SetFileName("otbGridResampleImageFilterTestOutput2.tif");
writer->Update();
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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