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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 <iostream>
#include "itkImage.h"
#include "itkLabelImageGaussianInterpolateImageFunction.h"
int itkLabelImageGaussianInterpolateImageFunctionTest( int , char*[] )
{
int test_status = EXIT_SUCCESS;
const unsigned int Dimension = 2;
typedef unsigned short int PixelType; //Label images should be integer value types
typedef itk::Image< PixelType, Dimension > ImageType;
typedef ImageType::RegionType RegionType;
typedef RegionType::SizeType SizeType;
typedef ImageType::IndexType IndexType;
typedef float CoordRepType;
//The ImageSizeToCompute
const double FOV=10.0;
const itk::IndexValueType small_xSize = 3;
const itk::IndexValueType small_ySize = 3;
ImageType::Pointer small_image = ImageType::New();
{
RegionType region;
{
IndexType start;
start.Fill( 0 );
SizeType size;
size[0]= small_xSize;
size[1]= small_ySize;
region.SetSize( size );
region.SetIndex( start );
}
small_image->SetRegions( region );
small_image->Allocate();
{
ImageType::SpacingType spacing;
spacing.Fill( FOV/static_cast<double>(small_ySize) );
ImageType::PointType origin;
origin.Fill( 0.5* FOV/static_cast<double>(small_ySize) );
small_image->SetOrigin( origin );
small_image->SetSpacing( spacing );
}
small_image->Print( std::cout );
//
// Fill up the small_image values with the function
//
// Intensity = f(x,y) = x + 3 * y
//
//
PixelType valarray[small_xSize][small_ySize] = {
{255,255,255},
{255,171, 7},
{ 7, 7, 7}
};
for (itk::IndexValueType y = 0; y < small_ySize; y++)
{
for (itk::IndexValueType x = 0; x < small_xSize; x++)
{
const IndexType index = { { x, y } };
const PixelType value = valarray[x][y];
small_image->SetPixel( index, value );
std::cout << value << " ";
}
std::cout << std::endl;
}
}
typedef itk::LabelImageGaussianInterpolateImageFunction< ImageType, CoordRepType >
InterpolatorType;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetInputImage( small_image );
{
double sigma[Dimension];
for( unsigned int d = 0; d < Dimension; d++ )
{
sigma[d] = 1.0;
}
const double alpha = 1.0;
interpolator->SetParameters( sigma, alpha );
}
interpolator->Print( std::cout, 3 );
if( interpolator->GetSigma()[0] != 1.0 ||
interpolator->GetSigma()[1] != 1.0 ||
interpolator->GetAlpha() != 1.0 )
{
std::cerr << "Parameters were not returned correctly." << std::endl;
}
//########################
//Now check the results
//The ImageSizeToCompute
const unsigned char default_background_value=17;
const itk::IndexValueType large_xSize = 5+1;
const itk::IndexValueType large_ySize = 5;
ImageType::Pointer large_image = ImageType::New();
{
RegionType region;
{
IndexType start;
start.Fill( 0 );
SizeType size;
size[0]= large_xSize;
size[1]= large_ySize;
region.SetSize( size );
region.SetIndex( start );
}
large_image->SetRegions( region );
large_image->Allocate();
{
ImageType::SpacingType spacing;
spacing.Fill( FOV/static_cast<double>(large_ySize) );
ImageType::PointType origin;
origin.Fill( 0.5* FOV/static_cast<double>(large_ySize) );
large_image->SetOrigin( origin );
large_image->SetSpacing( spacing );
}
large_image->Print( std::cout );
//
// Fill up the large_image values with the function
//
// Intensity = f(x,y) = x + 3 * y
//
//
/*
At: [0, 0] computed value = 255 known_value = 255
At: [1, 0] computed value = 255 known_value = 255
At: [2, 0] computed value = 255 known_value = 255
At: [3, 0] computed value = 7 known_value = 255
At: [4, 0] computed value = 7 known_value = 7
At: [5, 0] computed value = 17 known_value = 17
At: [0, 1] computed value = 255 known_value = 255
At: [1, 1] computed value = 255 known_value = 255
At: [2, 1] computed value = 255 known_value = 255
At: [3, 1] computed value = 7 known_value = 7
At: [4, 1] computed value = 7 known_value = 7
At: [5, 1] computed value = 17 known_value = 17
At: [0, 2] computed value = 255 known_value = 255
At: [1, 2] computed value = 255 known_value = 255
At: [2, 2] computed value = 171 known_value = 171
At: [3, 2] computed value = 7 known_value = 7
At: [4, 2] computed value = 7 known_value = 7
At: [5, 2] computed value = 17 known_value = 17
At: [0, 3] computed value = 255 known_value = 255
At: [1, 3] computed value = 255 known_value = 255
At: [2, 3] computed value = 7 known_value = 7
At: [3, 3] computed value = 7 known_value = 7
At: [4, 3] computed value = 7 known_value = 7
At: [5, 3] computed value = 17 known_value = 17
At: [0, 4] computed value = 255 known_value = 255
At: [1, 4] computed value = 255 known_value = 7
At: [2, 4] computed value = 7 known_value = 7
At: [3, 4] computed value = 7 known_value = 7
At: [4, 4] computed value = 7 known_value = 7
At: [5, 4] computed value = 17 known_value = 17
*/
PixelType valarray[large_xSize][large_ySize] = {
{255,255,255,255,255},
{255,255,255,255,255},
{255,255,171, 7, 7},
{ 7, 7, 7, 7, 7},
{ 7, 7, 7, 7, 7},
{ default_background_value,default_background_value,default_background_value,default_background_value,default_background_value }
};
for (itk::IndexValueType y = 0; y < large_ySize; y++)
{
for (itk::IndexValueType x = 0; x < large_xSize; x++)
{
const IndexType index = { { x, y } };
const PixelType known_value = valarray[x][y];
ImageType::PointType physPoint;
large_image->TransformIndexToPhysicalPoint(index,physPoint);
if( interpolator->IsInsideBuffer( physPoint ) )
{
//test scalar small_image
const double computedValue = interpolator->Evaluate( physPoint );
large_image->SetPixel( index, static_cast< PixelType >( computedValue ) );
}
else
{
large_image->SetPixel( index, default_background_value );
}
if(large_image->GetPixel(index) != known_value)
{
test_status=EXIT_FAILURE;
}
std::cout << "At: " << index << " computed value = " << large_image->GetPixel(index) << " known_value = " << known_value << std::endl;
}
std::cout << std::endl;
}
}
#if 0
const double incr = 0.1;
PointType point;
for (double yy = 0; yy < static_cast<double>(small_ySize-1); yy++)
{
for (double xx = 0; xx < static_cast<double>(small_xSize-1); xx++)
{
for (double yyy = yy; yyy < yy + 1.01; yyy += incr)
{
for (double xxx = xx; xxx < xx + 1.01; xxx += incr)
{
point[0] = xxx;
point[1] = yyy;
if( interpolator->IsInsideBuffer( point ) )
{
//test scalar small_image
const double computedValue = interpolator->Evaluate( point );
std::cout << "computed value = " << computedValue << std::endl;
}
}
}
}
}
#endif
return test_status;
}
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