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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 itkContourMeanDistanceImageFilter_h
#define itkContourMeanDistanceImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkNumericTraits.h"
namespace itk
{
/**
* \class ContourMeanDistanceImageFilter
* \brief Computes the Mean distance between the boundaries of
* non-zero regions of two images.
*
* ContourMeanDistanceImageFilter computes the distance between the
* set non-zero pixels of two images using the following formula:
* \f[ H(A,B) = \max(h(A,B),h(B,A)) \f]
* where
* \f[ h(A,B) = \mathrm{mean}_{a \in A} \min_{b \in B} \| a - b\| \f]
* is the directed mean distance
* and \f$A\f$ and \f$B\f$ are respectively the set of non-zero pixels
* in the first and second input images.
*
* In particular, this filter uses the ContourDirectedMeanImageFilter
* inside to compute the two directed distances and then select the
* largest of the two.
*
* The Mean distance measures the degree of mismatch between two sets
* and behaves like a metric over the set of all closed bounded sets -
* with properties of identity, symmetry and triangle inequality.
*
* This filter requires the largest possible region of the first image
* and the same corresponding region in the second image.
* It behaves as filter with
* two input and one output. Thus it can be inserted in a pipeline with
* other filters. The filter passes the first input through unmodified.
*
* This filter is templated over the two input image type. It assume
* both image have the same number of dimensions.
*
* \sa ContourDirectedMeanDistanceImageFilter
*
* \author Teo Popa, ISIS Center, Georgetown University
*
* \ingroup MultiThreaded
* \ingroup ITKDistanceMap
*
* \sphinx
* \sphinxexample{Filtering/DistanceMap/MeanDistanceBetweenAllPointsOnTwoCurves,Mean Distance Between All Points On Two
Curves}
* \endsphinx
*/
template <typename TInputImage1, typename TInputImage2>
class ITK_TEMPLATE_EXPORT ContourMeanDistanceImageFilter : public ImageToImageFilter<TInputImage1, TInputImage1>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ContourMeanDistanceImageFilter);
/** Standard Self type alias */
using Self = ContourMeanDistanceImageFilter;
using Superclass = ImageToImageFilter<TInputImage1, TInputImage1>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(ContourMeanDistanceImageFilter);
/** Image related type alias. */
using InputImage1Type = TInputImage1;
using InputImage2Type = TInputImage2;
using InputImage1Pointer = typename TInputImage1::Pointer;
using InputImage2Pointer = typename TInputImage2::Pointer;
using InputImage1ConstPointer = typename TInputImage1::ConstPointer;
using InputImage2ConstPointer = typename TInputImage2::ConstPointer;
using RegionType = typename TInputImage1::RegionType;
using SizeType = typename TInputImage1::SizeType;
using IndexType = typename TInputImage1::IndexType;
using InputImage1PixelType = typename TInputImage1::PixelType;
using InputImage2PixelType = typename TInputImage2::PixelType;
/** Image related type alias. */
static constexpr unsigned int ImageDimension = TInputImage1::ImageDimension;
/** Type to use form computations. */
using RealType = typename NumericTraits<InputImage1PixelType>::RealType;
/** Set the first input. */
void
SetInput1(const InputImage1Type * image);
/** Set the second input. */
void
SetInput2(const InputImage2Type * image);
/** Get the first input. */
const InputImage1Type *
GetInput1();
/** Get the second input. */
const InputImage2Type *
GetInput2();
/** Return the computed Mean distance. */
itkGetConstMacro(MeanDistance, RealType);
/** Set if image spacing should be used in computing distances. */
itkSetMacro(UseImageSpacing, bool);
itkGetConstMacro(UseImageSpacing, bool);
itkBooleanMacro(UseImageSpacing);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(InputHasNumericTraitsCheck, (Concept::HasNumericTraits<InputImage1PixelType>));
// End concept checking
#endif
protected:
ContourMeanDistanceImageFilter();
~ContourMeanDistanceImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** GenerateData. */
void
GenerateData() override;
// Override since the filter needs all the data for the algorithm
void
GenerateInputRequestedRegion() override;
// Override since the filter produces all of its output
void
EnlargeOutputRequestedRegion(DataObject * data) override;
private:
RealType m_MeanDistance{};
bool m_UseImageSpacing{ true };
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkContourMeanDistanceImageFilter.hxx"
#endif
#endif
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