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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 "itkPolygonSpatialObject.h"
#include "itkGroupSpatialObject.h"
#include "itkSpatialObjectToImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
#include <iostream>
#include <fstream>
#include <sstream>
// -------------------------------------------------------------------------------------
// The purpose of this test is to make sure that the function
// ObjectIsInsideInObjectSpace is working as expected.
// This is related to a regression that was fixed under case 1082
// which showed that certain contours that were created from the polygonSpatialObject
// had trailing tails that were not supposed to be there.
// In order to test this we take a known regression list of contour points
// and create a contour image from these points.
// We compare the resulting image with the known baseline contour image.
// ---------------------------------------------------------------------------------------
int
itkPolygonSpatialObjectIsInsideInObjectSpaceTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing Parameters" << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " polygonPointsCSVFile baselineImageFileName outImageFileName ";
std::cerr << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using PointType = itk::ImageBase<Dimension>::PointType;
using PolygonPointType = itk::PolygonSpatialObject<Dimension>::PolygonPointType;
using PolygonPointListType = itk::PolygonSpatialObject<Dimension>::PolygonPointListType;
using PixelType = uint16_t;
using Group = itk::GroupSpatialObject<Dimension>;
using ImageType = itk::Image<PixelType, Dimension>;
using SpatialObjectToImageFilterType = itk::SpatialObjectToImageFilter<Group, ImageType>;
const char * csvFileName = argv[1];
const char * baselineFileName = argv[2];
const char * outFileName = argv[3];
// Get polygon points from CSV file
PolygonPointListType polygonPointList;
std::ifstream fs;
char data[100];
fs.open(csvFileName);
if (fs.good())
{
// read over first line
fs.getline(data, sizeof(data), '\n');
char commaDelim;
while (fs.getline(data, sizeof(data), '\n'))
{
std::stringstream ss(data);
PolygonPointType polygonPt;
itk::SpatialObject<Dimension>::Pointer so = itk::SpatialObject<Dimension>::New();
polygonPt.SetSpatialObject(so);
PointType pt;
ss >> pt[0];
ss >> commaDelim;
ss >> pt[1];
polygonPt.SetPositionInWorldSpace(pt);
polygonPointList.push_back(polygonPt);
}
}
else
{
fs.close();
std::cerr << "Error reading CSV file" << csvFileName << std::endl;
return EXIT_FAILURE;
}
// Create polygon spatial group
auto groupPtr = Group::New();
auto polygonPtr = itk::PolygonSpatialObject<Dimension>::New();
groupPtr->AddChild(polygonPtr);
polygonPtr->SetPoints(polygonPointList);
polygonPtr->SetDefaultInsideValue(1.0);
polygonPtr->SetDefaultOutsideValue(0.0);
ITK_TRY_EXPECT_NO_EXCEPTION(polygonPtr->Update());
// Read baseline image
ImageType::Pointer baselineImagePtr = nullptr;
ITK_TRY_EXPECT_NO_EXCEPTION(baselineImagePtr = itk::ReadImage<ImageType>(baselineFileName));
// create image
auto toImageFilter = SpatialObjectToImageFilterType::New();
toImageFilter->SetInput(groupPtr);
toImageFilter->SetSize(baselineImagePtr->GetLargestPossibleRegion().GetSize());
toImageFilter->SetSpacing(baselineImagePtr->GetSpacing());
ITK_TRY_EXPECT_NO_EXCEPTION(toImageFilter->Update());
// write image
ITK_TRY_EXPECT_NO_EXCEPTION(itk::WriteImage(toImageFilter->GetOutput(), outFileName));
return EXIT_SUCCESS;
}
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