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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 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://hdl.handle.net/1926/584 or
* http://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
*
* \wiki
* \wikiexample{ImageProcessing/BinaryImageToShapeLabelMapFilter,Label binary regions in an image and get their properties}
* \endwiki
*/
template< typename TInputImage, typename TOutputImage =
LabelMap< ShapeLabelObject< SizeValueType, TInputImage::ImageDimension > > >
class ITK_TEMPLATE_EXPORT BinaryImageToShapeLabelMapFilter:
public ImageToImageFilter< TInputImage, TOutputImage >
{
public:
/** Standard class typedefs. */
typedef BinaryImageToShapeLabelMapFilter Self;
typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Some convenient typedefs. */
typedef TInputImage InputImageType;
typedef typename InputImageType::Pointer InputImagePointer;
typedef typename InputImageType::ConstPointer InputImageConstPointer;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::Pointer OutputImagePointer;
typedef typename OutputImageType::ConstPointer OutputImageConstPointer;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
typedef typename OutputImageType::LabelObjectType LabelObjectType;
/** ImageDimension constants */
itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int, TInputImage::ImageDimension);
itkStaticConstMacro(ImageDimension, unsigned int, TInputImage::ImageDimension);
typedef BinaryImageToLabelMapFilter< InputImageType, OutputImageType > LabelizerType;
typedef Image< typename OutputImageType::PixelType, itkGetStaticConstMacro(OutputImageDimension) >
ShapeLabelFilterOutput;
typedef ShapeLabelMapFilter< TOutputImage, ShapeLabelFilterOutput > LabelObjectValuatorType;
/** Standard New method. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(BinaryImageToShapeLabelMapFilter, ImageToImageFilter);
/**
* 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() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** BinaryImageToShapeLabelMapFilter needs the entire input be available.
* Thus, it needs to provide an implementation of GenerateInputRequestedRegion(). */
void GenerateInputRequestedRegion() ITK_OVERRIDE;
/** BinaryImageToShapeLabelMapFilter 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(BinaryImageToShapeLabelMapFilter);
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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