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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.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 "itkCentralDifferenceImageFunction.h"
int itkOrientedImage2DTest( int ac, char * av[] )
{
if( ac < 12 )
{
std::cerr << "Usage: " << av[0]
<< " InputImage "
<< "corner1x corner1y "
<< "corner2x corner2y "
<< "corner3x corner3y "
<< "derivative1x derivative1y "
<< "derivative2x derivative2y "
<< std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
typedef unsigned char PixelType;
typedef itk::Image<PixelType, Dimension> ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
typedef ImageType::IndexType IndexType;
typedef ImageType::PointType PointType;
typedef IndexType::IndexValueType IndexValueType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( av[1] );
try
{
reader->Update();
}
catch (itk::ExceptionObject & e)
{
std::cerr << e << std::endl;
return EXIT_FAILURE;
}
ImageType::ConstPointer image = reader->GetOutput();
ImageType::DirectionType directionCosines = image->GetDirection();
std::cout << directionCosines << std::endl;
unsigned int element = 2;
const double tolerance = 1e-3;
ImageType::RegionType region = image->GetLargestPossibleRegion();
ImageType::SizeType size = region.GetSize();
const int numberOfPointsToTest = 3;
IndexType index[numberOfPointsToTest];
PointType physicalPoint;
index[0][0] = 0;
index[0][1] = 0;
index[1][0] = size[0];
index[1][1] = 0;
index[2][0] = 0;
index[2][1] = size[1];
image->Print( std::cout );
std::cout << std::endl;
std::cout << std::endl;
for( int pointId=0; pointId < numberOfPointsToTest; ++pointId )
{
image->TransformIndexToPhysicalPoint( index[pointId], physicalPoint );
std::cout << index[pointId] << " : " << physicalPoint << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = physicalPoint[dim];
const double difference = currentValue - expectedValue;
if( itk::Math::abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "in Point # " << pointId << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
std::cerr << "Index = " << index[pointId] << std::endl;
std::cerr << "PhysicalPoint = " << physicalPoint << std::endl;
return EXIT_FAILURE;
}
}
}
//
// Select a point in the middle of the image and compute its
// derivative using the image orientation.
//
IndexType centralIndex;
centralIndex[0] = static_cast< IndexValueType >( size[0] / 2.0 );
centralIndex[1] = static_cast< IndexValueType >( size[1] / 2.0 );
typedef itk::CentralDifferenceImageFunction< ImageType, double > CentralDifferenceImageFunctionType;
CentralDifferenceImageFunctionType::Pointer gradientHelper1 = CentralDifferenceImageFunctionType::New();
gradientHelper1->SetInputImage( image );
std::cout << std::endl;
std::cout << std::endl;
std::cout << "Image Direction" << std::endl;
std::cout << image->GetDirection() << std::endl;
{ // Compute gradient value without taking image direction into account
gradientHelper1->UseImageDirectionOff();
CentralDifferenceImageFunctionType::OutputType gradient1a = gradientHelper1->EvaluateAtIndex( centralIndex );
std::cout << "Gradient without Direction" << std::endl;
std::cout << gradient1a << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = gradient1a[dim];
const double difference = currentValue - expectedValue;
if( itk::Math::abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
return EXIT_FAILURE;
}
}
}
{ // Compute gradient value taking image direction into account
gradientHelper1->UseImageDirectionOn();
CentralDifferenceImageFunctionType::OutputType gradient1b = gradientHelper1->EvaluateAtIndex( centralIndex );
std::cout << std::endl;
std::cout << "Gradient with Direction" << std::endl;
std::cout << gradient1b << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = gradient1b[dim];
const double difference = currentValue - expectedValue;
if( itk::Math::abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
return EXIT_FAILURE;
}
}
}
return EXIT_SUCCESS;
}
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