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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 dir
ected
* 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
*
* \wiki
* \wikiexample{Curves/ContourMeanDistanceImageFilter,Compute the mean distance between all points of two curves}
* \endwiki
*/
template< typename TInputImage1, typename TInputImage2 >
class ITK_TEMPLATE_EXPORT ContourMeanDistanceImageFilter:
public ImageToImageFilter< TInputImage1, TInputImage1 >
{
public:
/** Standard Self typedef */
typedef ContourMeanDistanceImageFilter Self;
typedef ImageToImageFilter< TInputImage1, TInputImage1 > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(ContourMeanDistanceImageFilter, ImageToImageFilter);
/** Image related typedefs. */
typedef TInputImage1 InputImage1Type;
typedef TInputImage2 InputImage2Type;
typedef typename TInputImage1::Pointer InputImage1Pointer;
typedef typename TInputImage2::Pointer InputImage2Pointer;
typedef typename TInputImage1::ConstPointer InputImage1ConstPointer;
typedef typename TInputImage2::ConstPointer InputImage2ConstPointer;
typedef typename TInputImage1::RegionType RegionType;
typedef typename TInputImage1::SizeType SizeType;
typedef typename TInputImage1::IndexType IndexType;
typedef typename TInputImage1::PixelType InputImage1PixelType;
typedef typename TInputImage2::PixelType InputImage2PixelType;
/** Image related typedefs. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage1::ImageDimension);
/** Type to use form computations. */
typedef typename NumericTraits< InputImage1PixelType >::RealType 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 );
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( InputHasNumericTraitsCheck,
( Concept::HasNumericTraits< InputImage1PixelType > ) );
// End concept checking
#endif
protected:
ContourMeanDistanceImageFilter();
~ContourMeanDistanceImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** GenerateData. */
void GenerateData() ITK_OVERRIDE;
// Override since the filter needs all the data for the algorithm
void GenerateInputRequestedRegion() ITK_OVERRIDE;
// Override since the filter produces all of its output
void EnlargeOutputRequestedRegion(DataObject *data) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(ContourMeanDistanceImageFilter);
RealType m_MeanDistance;
bool m_UseImageSpacing;
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkContourMeanDistanceImageFilter.hxx"
#endif
#endif
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