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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 "itkImage.h"
#include "itkLabelImageGaussianInterpolateImageFunction.h"
int
itkLabelImageGaussianInterpolateImageFunctionTest(int, char *[])
{
int test_status = EXIT_SUCCESS;
constexpr unsigned int Dimension = 2;
using PixelType = unsigned short; // Label images should be integer value types
using ImageType = itk::Image<PixelType, Dimension>;
using RegionType = ImageType::RegionType;
using SizeType = RegionType::SizeType;
using IndexType = ImageType::IndexType;
using CoordRepType = float;
// The ImageSizeToCompute
constexpr double FOV = 10.0;
constexpr itk::IndexValueType small_xSize = 3;
constexpr itk::IndexValueType small_ySize = 3;
auto 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;
}
}
using InterpolatorType = itk::LabelImageGaussianInterpolateImageFunction<ImageType, CoordRepType>;
auto interpolator = InterpolatorType::New();
interpolator->SetInputImage(small_image);
{
double sigma[Dimension];
for (double & d : sigma)
{
d = 1.0;
}
constexpr 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
constexpr unsigned char default_background_value = 17;
const itk::IndexValueType large_xSize = 5 + 1;
constexpr itk::IndexValueType large_ySize = 5;
auto 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
constexpr 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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