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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 itkLabelStatisticsOpeningImageFilter_h
#define itkLabelStatisticsOpeningImageFilter_h
#include "itkLabelImageToLabelMapFilter.h"
#include "itkStatisticsLabelMapFilter.h"
#include "itkStatisticsOpeningLabelMapFilter.h"
#include "itkLabelMapToLabelImageFilter.h"
namespace itk
{
/** \class LabelStatisticsOpeningImageFilter
* \brief remove the objects according to the value of their statistics attribute
*
* LabelStatisticsOpeningImageFilter removes the objects in a labeled image
* with an attribute value smaller or greater than a threshold called Lambda.
* The attributes are the ones of the StatisticsLabelObject.
*
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* This implementation was taken from the Insight Journal paper:
* https://hdl.handle.net/1926/584 or
* http://www.insight-journal.org/browse/publication/176
*
* \sa StatisticsLabelObject, BinaryStatisticsOpeningImageFilter, LabelShapeOpeningImageFilter
* \ingroup ImageEnhancement MathematicalMorphologyImageFilters
* \ingroup ITKLabelMap
*/
template< typename TInputImage, typename TFeatureImage >
class ITK_TEMPLATE_EXPORT LabelStatisticsOpeningImageFilter:
public ImageToImageFilter< TInputImage, TInputImage >
{
public:
/** Standard class typedefs. */
typedef LabelStatisticsOpeningImageFilter Self;
typedef ImageToImageFilter< TInputImage, TInputImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Some convenient typedefs. */
typedef TInputImage InputImageType;
typedef TInputImage OutputImageType;
typedef typename InputImageType::Pointer InputImagePointer;
typedef typename InputImageType::ConstPointer InputImageConstPointer;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename OutputImageType::Pointer OutputImagePointer;
typedef typename OutputImageType::ConstPointer OutputImageConstPointer;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
typedef TFeatureImage FeatureImageType;
typedef typename FeatureImageType::Pointer FeatureImagePointer;
typedef typename FeatureImageType::ConstPointer FeatureImageConstPointer;
typedef typename FeatureImageType::PixelType FeatureImagePixelType;
/** ImageDimension constants */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
typedef StatisticsLabelObject< InputImagePixelType, itkGetStaticConstMacro(ImageDimension) > LabelObjectType;
typedef LabelMap< LabelObjectType > LabelMapType;
typedef LabelImageToLabelMapFilter< InputImageType, LabelMapType > LabelizerType;
typedef StatisticsLabelMapFilter< LabelMapType, TFeatureImage > LabelObjectValuatorType;
typedef typename LabelObjectType::AttributeType AttributeType;
typedef StatisticsOpeningLabelMapFilter< LabelMapType > OpeningType;
typedef LabelMapToLabelImageFilter< LabelMapType, OutputImageType > BinarizerType;
/** Standard New method. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(LabelStatisticsOpeningImageFilter,
ImageToImageFilter);
#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(BackgroundValue, OutputImagePixelType);
itkGetConstMacro(BackgroundValue, OutputImagePixelType);
/**
* Set/Get the threshold used to keep or remove the objects.
*/
itkGetConstMacro(Lambda, double);
itkSetMacro(Lambda, double);
/**
* Set/Get the ordering of the objects. By default, the objects with
* an attribute value smaller than Lamba are removed. Turning ReverseOrdering
* to true make this filter remove the object with an attribute value greater
* than Lambda instead.
*/
itkGetConstMacro(ReverseOrdering, bool);
itkSetMacro(ReverseOrdering, bool);
itkBooleanMacro(ReverseOrdering);
/**
* Set/Get the attribute to use to select the object to remove. The default
* is "Mean".
*/
itkGetConstMacro(Attribute, AttributeType);
itkSetMacro(Attribute, AttributeType);
void SetAttribute(const std::string & s)
{
this->SetAttribute( LabelObjectType::GetAttributeFromName(s) );
}
/** Set the feature image */
void SetFeatureImage(const TFeatureImage *input)
{
// Process object is not const-correct so the const casting is required.
this->SetNthInput( 1, const_cast< TFeatureImage * >( input ) );
}
/** Get the feature image */
const FeatureImageType * GetFeatureImage()
{
return static_cast< const FeatureImageType * >( this->ProcessObject::GetInput(1) );
}
/** Set the input image */
void SetInput1(const InputImageType *input)
{
this->SetInput(input);
}
/** Set the feature image */
void SetInput2(const FeatureImageType *input)
{
this->SetFeatureImage(input);
}
protected:
LabelStatisticsOpeningImageFilter();
~LabelStatisticsOpeningImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** LabelStatisticsOpeningImageFilter needs the entire input be
* available. Thus, it needs to provide an implementation of
* GenerateInputRequestedRegion(). */
void GenerateInputRequestedRegion() ITK_OVERRIDE;
/** LabelStatisticsOpeningImageFilter will produce the entire output. */
void EnlargeOutputRequestedRegion( DataObject *itkNotUsed(output) ) ITK_OVERRIDE;
/** Single-threaded version of GenerateData. This filter delegates
* to GrayscaleGeodesicErodeImageFilter. */
void GenerateData() ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(LabelStatisticsOpeningImageFilter);
OutputImagePixelType m_BackgroundValue;
double m_Lambda;
bool m_ReverseOrdering;
AttributeType m_Attribute;
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkLabelStatisticsOpeningImageFilter.hxx"
#endif
#endif
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