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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.
*
*=========================================================================*/
#ifndef itkBinaryImageToShapeLabelMapFilter_h
#define itkBinaryImageToShapeLabelMapFilter_h
#include "itkShapeLabelObject.h"
#include "itkBinaryImageToLabelMapFilter.h"
#include "itkShapeLabelMapFilter.h"
namespace itk
{
/**
* \class BinaryImageToShapeLabelMapFilter
* \brief Converts a binary image to a label map and valuate the shape attributes.
*
* A convenient class that converts a binary image to a label map and valuates the
* shape attributes at once.
*
* The GetOutput() function returns an itk::ShapeLabelMap.
* A typical use would be to iterate over the ShapeLabelObjects in the map,
* using something like this:
\code
for(unsigned int i = 0; i < filter->GetOutput()->GetNumberOfLabelObjects(); ++i)
{
FilterType::OutputImageType::LabelObjectType* shapeLabelObject =
filter->GetOutput()->GetLabelObject(i);
// Here you can get properties of the ShapeLabelObject
std::cout << "Bounding box: " << shapeLabelObject->GetBoundingBox();
}
\endcode
*
* This implementation was taken from the Insight Journal paper:
* https://www.insight-journal.org/browse/publication/176
*
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* \sa ShapeLabelObject, LabelShapeOpeningImageFilter, BinaryStatisticsOpeningImageFilter
* \ingroup ImageEnhancement MathematicalMorphologyImageFilters
* \ingroup ITKLabelMap
*
* \sphinx
* \sphinxexample{Filtering/LabelMap/LabelBinaryRegionsAndGetProperties,Label Binary Regions And Get Properties}
* \endsphinx
*/
template <typename TInputImage,
typename TOutputImage = LabelMap<ShapeLabelObject<SizeValueType, TInputImage::ImageDimension>>>
class ITK_TEMPLATE_EXPORT BinaryImageToShapeLabelMapFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(BinaryImageToShapeLabelMapFilter);
/** Standard class type aliases. */
using Self = BinaryImageToShapeLabelMapFilter;
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Some convenient type alias. */
using InputImageType = TInputImage;
using InputImagePointer = typename InputImageType::Pointer;
using InputImageConstPointer = typename InputImageType::ConstPointer;
using InputImageRegionType = typename InputImageType::RegionType;
using InputImagePixelType = typename InputImageType::PixelType;
using OutputImageType = TOutputImage;
using OutputImagePointer = typename OutputImageType::Pointer;
using OutputImageConstPointer = typename OutputImageType::ConstPointer;
using OutputImageRegionType = typename OutputImageType::RegionType;
using OutputImagePixelType = typename OutputImageType::PixelType;
using LabelObjectType = typename OutputImageType::LabelObjectType;
/** ImageDimension constants */
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int OutputImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
using LabelizerType = BinaryImageToLabelMapFilter<InputImageType, OutputImageType>;
using ShapeLabelFilterOutput = Image<typename OutputImageType::PixelType, Self::OutputImageDimension>;
using LabelObjectValuatorType = ShapeLabelMapFilter<TOutputImage, ShapeLabelFilterOutput>;
/** Standard New method. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(BinaryImageToShapeLabelMapFilter);
/**
* Set/Get whether the connected components are defined strictly by face connectivity or
* by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that
* are 1 pixel wide, use FullyConnectedOn.
*/
itkSetMacro(FullyConnected, bool);
itkGetConstReferenceMacro(FullyConnected, bool);
itkBooleanMacro(FullyConnected);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(InputEqualityComparableCheck, (Concept::EqualityComparable<InputImagePixelType>));
itkConceptMacro(IntConvertibleToInputCheck, (Concept::Convertible<int, InputImagePixelType>));
itkConceptMacro(InputOStreamWritableCheck, (Concept::OStreamWritable<InputImagePixelType>));
// End concept checking
#endif
/**
* Set/Get the value used as "background" in the output image.
* Defaults to NumericTraits<PixelType>::NonpositiveMin().
*/
itkSetMacro(OutputBackgroundValue, OutputImagePixelType);
itkGetConstMacro(OutputBackgroundValue, OutputImagePixelType);
/**
* Set/Get the value used as "foreground" in the output image.
* Defaults to NumericTraits<PixelType>::max().
*/
itkSetMacro(InputForegroundValue, InputImagePixelType);
itkGetConstMacro(InputForegroundValue, InputImagePixelType);
/**
* Set/Get whether the maximum Feret diameter should be computed or not.
* Default value is false, because of the high computation time required.
*/
itkSetMacro(ComputeFeretDiameter, bool);
itkGetConstReferenceMacro(ComputeFeretDiameter, bool);
itkBooleanMacro(ComputeFeretDiameter);
/**
* Set/Get whether the perimeter should be computed or not.
* Default value is false, because of the high computation time required.
*/
itkSetMacro(ComputePerimeter, bool);
itkGetConstReferenceMacro(ComputePerimeter, bool);
itkBooleanMacro(ComputePerimeter);
/**
* Set/Get whether the oriented bounding box should be
* computed or not. Default value is false because of potential
* memory consumption issues with sparse labels.
*/
itkSetMacro(ComputeOrientedBoundingBox, bool);
itkGetConstReferenceMacro(ComputeOrientedBoundingBox, bool);
itkBooleanMacro(ComputeOrientedBoundingBox);
protected:
BinaryImageToShapeLabelMapFilter();
~BinaryImageToShapeLabelMapFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** BinaryImageToShapeLabelMapFilter needs the entire input be available.
* Thus, it needs to provide an implementation of GenerateInputRequestedRegion(). */
void
GenerateInputRequestedRegion() override;
/** BinaryImageToShapeLabelMapFilter will produce the entire output. */
void
EnlargeOutputRequestedRegion(DataObject * itkNotUsed(output)) override;
/** Single-threaded version of GenerateData.
* This filter delegates to GrayscaleGeodesicErodeImageFilter. */
void
GenerateData() override;
private:
bool m_FullyConnected{};
OutputImagePixelType m_OutputBackgroundValue{};
InputImagePixelType m_InputForegroundValue{};
bool m_ComputeFeretDiameter{};
bool m_ComputePerimeter{};
bool m_ComputeOrientedBoundingBox{};
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkBinaryImageToShapeLabelMapFilter.hxx"
#endif
#endif
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