1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkHConcaveImageFilter.h,v $
Language: C++
Date: $Date: 2007-10-16 14:22:34 $
Version: $Revision: 1.7 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkHConcaveImageFilter_h
#define __itkHConcaveImageFilter_h
#include "itkImageToImageFilter.h"
namespace itk {
/** \class HConcaveImageFilter
* \brief Identify local minima whose depth below the baseline is greater than h.
*
* HConcaveImageFilter extract local minima that are more than h
* intensity units below the (local) background. This has the effect
* of extracting objects that are darker than the background by at least
* h intensity units.
*
* This filter uses the HMinimaImageFilter.
*
* Geodesic morphology and the H-Convex algorithm is described in
* Chapter 6 of Pierre Soille's book "Morphological Image Analysis:
* Principles and Applications", Second Edition, Springer, 2003.
*
* \sa GrayscaleGeodesicDilateImageFilter, HMaximaImageFilter,
* \sa MorphologyImageFilter, GrayscaleDilateImageFilter, GrayscaleFunctionDilateImageFilter, BinaryDilateImageFilter
* \ingroup ImageEnhancement MathematicalMorphologyImageFilters
*/
template<class TInputImage, class TOutputImage>
class ITK_EXPORT HConcaveImageFilter :
public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef HConcaveImageFilter Self;
typedef ImageToImageFilter<TInputImage, TOutputImage>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Some convenient typedefs. */
typedef TInputImage InputImageType;
typedef TOutputImage 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;
/** ImageDimension constants */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
/** Standard New method. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(HConcaveImageFilter,
ImageToImageFilter);
/** Set/Get the height that a local maximum must be above the local
* background (local contrast) in order to survive the
* processing. Local maxima below this value are replaced with an
* estimate of the local background. */
itkSetMacro(Height, InputImagePixelType);
itkGetMacro(Height, InputImagePixelType);
/** \deprecated
* Get the number of iterations used to produce the current
* output. This method is scheduled for removal since the
* implementation now uses a noniterative solution. */
unsigned long GetNumberOfIterationsUsed()
{
itkLegacyBodyMacro(itk::HConcaveImageFilter::GetNumberOfIterationsUsed, 2.2);
return m_NumberOfIterationsUsed;
};
/**
* 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
protected:
HConcaveImageFilter();
~HConcaveImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** HConcaveImageFilter needs the entire input be
* available. Thus, it needs to provide an implementation of
* GenerateInputRequestedRegion(). */
void GenerateInputRequestedRegion() ;
/** HConcaveImageFilter will produce the entire output. */
void EnlargeOutputRequestedRegion(DataObject *itkNotUsed(output));
/** Single-threaded version of GenerateData. This filter delegates
* to GrayscaleGeodesicErodeImageFilter. */
void GenerateData();
private:
HConcaveImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
InputImagePixelType m_Height;
unsigned long m_NumberOfIterationsUsed;
bool m_FullyConnected;
} ; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkHConcaveImageFilter.txx"
#endif
#endif
|