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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.
*
*=========================================================================*/
// Disable warning for long symbol names in this file only
/*
* This is a test file for the itkImageMaskSpatialObject class.
* The supported pixel types does not include itkRGBPixel, itkRGBAPixel, etc...
* So far it only allows to manage images of simple types like unsigned short,
* unsigned int, or itk::Vector<...>.
*/
/*
* This test addresses bug
* https://public.kitware.com/Bug/view.php?id=0006340
*
*/
#include "itkImageRegionIterator.h"
#include "itkImageMaskSpatialObject.h"
#include "itkMath.h"
#include "itkEuler3DTransform.h"
int
itkImageMaskSpatialObjectTest2(int, char *[])
{
constexpr unsigned int VDimension = 3;
int retval = EXIT_SUCCESS;
using ImageMaskSpatialObject = itk::ImageMaskSpatialObject<VDimension>;
using PixelType = ImageMaskSpatialObject::PixelType;
using ImageType = itk::Image<PixelType, VDimension>;
using Iterator = itk::ImageRegionIterator<ImageType>;
// Direction was not taken into account in the image spatial object
// explicitly test using images with directions set.
// Also explicitly uses nonzero origin, non identity scales
// to fully test the commonly encountered cases from the real world
auto image = ImageType::New();
// Set the direction for a non-oriented image
// to better test the frequently encountered case
// Use non axis aligned image directions
auto tfm = itk::Euler3DTransform<itk::SpacePrecisionType>::New();
tfm->SetRotation(30.0 * itk::Math::pi_over_180, 15.0 * itk::Math::pi_over_180, 10.0 * itk::Math::pi_over_180);
const ImageType::DirectionType direction = tfm->GetMatrix();
image->SetDirection(direction);
const ImageType::SizeType size = { { 50, 50, 50 } };
ImageType::PointType origin;
origin[0] = 1.51;
origin[1] = 2.10;
origin[2] = -300;
image->SetOrigin(origin);
ImageType::SpacingType spacing;
spacing[0] = 0.5;
spacing[1] = 0.7;
spacing[2] = 1.1;
image->SetSpacing(spacing);
constexpr unsigned int index_offset = 6543;
const ImageType::IndexType index = { { index_offset, index_offset, index_offset } };
ImageType::RegionType region{ index, size };
image->SetRegions(region);
image->AllocateInitialized();
ImageType::RegionType insideRegion;
constexpr unsigned int INSIDE_SIZE = 30;
constexpr unsigned int INSIDE_INDEX = index_offset + 10;
{
const ImageType::SizeType insideSize = { { INSIDE_SIZE, INSIDE_SIZE, INSIDE_SIZE } };
insideRegion.SetSize(insideSize);
}
{
const ImageType::IndexType insideIndex = { { INSIDE_INDEX, INSIDE_INDEX, INSIDE_INDEX } };
insideRegion.SetIndex(insideIndex);
}
{
Iterator it(image, insideRegion);
it.GoToBegin();
while (!it.IsAtEnd())
{
it.Set(itk::NumericTraits<PixelType>::max());
++it;
}
}
auto maskSO = ImageMaskSpatialObject::New();
maskSO->SetImage(image);
maskSO->Update();
{ // Replicate use of MaskSpatialObject behavior from itk::ImageToImageMetric.hxx
Iterator itr(image, region);
itr.GoToBegin();
while (!itr.IsAtEnd())
{
const ImageType::IndexType constIndex = itr.GetIndex();
ImageType::PointType point;
image->TransformIndexToPhysicalPoint(constIndex, point);
const bool isInsideTest = maskSO->IsInsideInWorldSpace(point);
double outsideIfZeroValue;
maskSO->ValueAtInWorldSpace(point, outsideIfZeroValue);
if (isInsideTest && itk::Math::AlmostEquals(outsideIfZeroValue, 0.0))
{
std::cerr << "ERROR: ValueAtInWorldSpace is wrong. " << outsideIfZeroValue
<< " << computed, but should not be very close to 0.0." << std::endl;
std::cerr << " : Index=" << constIndex << "\n : PhysicalPoint=" << point << '.' << std::endl;
retval = EXIT_FAILURE;
break;
}
++itr;
}
}
{ // Test region based is inside
Iterator itr(image, region);
itr.GoToBegin();
while (!itr.IsAtEnd())
{
const ImageType::IndexType constIndex = itr.GetIndex();
const bool reference = insideRegion.IsInside(constIndex);
ImageType::PointType point;
image->TransformIndexToPhysicalPoint(constIndex, point);
const bool test = maskSO->IsInsideInWorldSpace(point);
if (test != reference)
{
std::cerr << "Error in the evaluation of maskSO->IsInsideInWorldSpace() " << std::endl;
std::cerr << "Index failed = " << constIndex << std::endl;
std::cerr << "Point failed = " << point << std::endl;
std::cerr << "Image is a: " << image->GetNameOfClass() << std::endl;
std::cerr << "Direction is: " << std::endl << image->GetDirection() << std::endl;
retval = EXIT_FAILURE;
break;
}
// Should be the same as WorldSpace since there is no hierarchy.
const bool test_object_space = maskSO->IsInsideInObjectSpace(point);
if (test != test_object_space)
{
std::cerr << "IsInsideInObjectSpace != IsInsideInWorldSpace for object that does not have hierarchy."
<< std::endl;
std::cerr << "Index failed = " << constIndex << std::endl;
std::cerr << "Point failed = " << point << std::endl;
std::cerr << "Image is a: " << image->GetNameOfClass() << std::endl;
std::cerr << "Direction is: " << std::endl << image->GetDirection() << std::endl;
std::cerr << std::endl;
retval = EXIT_FAILURE;
break;
}
++itr;
}
}
if (retval == EXIT_SUCCESS)
{
std::cout << "Test with " << image->GetNameOfClass() << " passed." << std::endl;
}
// Check if insideregion is properly computed at the image boundary
{
ImageType::IndexType startPointIndex = { { INSIDE_SIZE - 2, INSIDE_SIZE - 2, INSIDE_SIZE - 2 } };
ImageType::IndexType endPointIndex = {
{ INSIDE_INDEX + INSIDE_SIZE + 2, INSIDE_INDEX + INSIDE_SIZE + 2, INSIDE_INDEX + INSIDE_SIZE + 2 }
};
ImageType::PointType startPoint;
ImageType::PointType endPoint;
image->TransformIndexToPhysicalPoint(startPointIndex, startPoint);
image->TransformIndexToPhysicalPoint(endPointIndex, endPoint);
// Traverse along the line that goes through mask boundaries and
// check if the value and the mask is consistent
const auto numberOfSteps =
static_cast<int>(std::sqrt(static_cast<double>(INSIDE_SIZE * INSIDE_SIZE + INSIDE_SIZE * INSIDE_SIZE +
INSIDE_SIZE * INSIDE_SIZE)) *
100.0);
const ImageType::SpacingType incrementVector = (endPoint - startPoint) / static_cast<double>(numberOfSteps);
ImageType::PointType point = startPoint;
for (int i = 0; i < numberOfSteps; ++i)
{
point += incrementVector;
const bool isInside = maskSO->IsInsideInWorldSpace(point);
double value{};
maskSO->ValueAtInWorldSpace(point, value);
const bool isZero = (itk::Math::ExactlyEquals(value, PixelType{}));
if ((isInside && isZero) || (!isInside && !isZero))
{
ImageType::IndexType pointIndex = image->TransformPhysicalPointToIndex(point);
std::cerr
<< "Error in the evaluation ValueAt and IsInside (all the points inside the mask shall have non-zero value) "
<< std::endl;
std::cerr << "isInside = " << isInside << std::endl;
std::cerr << "value = " << value << std::endl;
std::cerr << "Index failed = " << pointIndex << std::endl;
std::cerr << "Point failed = " << point << std::endl;
std::cerr << "Image is a: " << image->GetNameOfClass() << std::endl;
retval = EXIT_FAILURE;
break;
}
}
}
std::cout << "Test finished" << std::endl;
return retval;
}
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