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
153
154
155
156
157
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkBinaryMedianImageFilter.h,v $
Language: C++
Date: $Date: 2006-03-24 16:03:16 $
Version: $Revision: 1.5 $
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 __itkBinaryMedianImageFilter_h
#define __itkBinaryMedianImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkImage.h"
namespace itk
{
/** \class BinaryMedianImageFilter
* \brief Applies an version of the median filter optimized for binary images.
*
* This filter was contributed by Bjorn Hanch Sollie after identifying that
* the generic Median filter performed unecessary operations when the input
* image is binary.
*
* This filter Computes an image where a given pixel is the median value
* of the pixels in a neighborhood about the corresponding input pixel.
* For the case of binary images the median can be obtained by simply conting
* the neigbors that are foreground.
*
* A median filter is one of the family of nonlinear filters. It is
* used to smooth an image without being biased by outliers or shot noise.
*
* \sa Image
* \sa Neighborhood
* \sa NeighborhoodOperator
* \sa NeighborhoodIterator
*
* \ingroup IntensityImageFilters
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT BinaryMedianImageFilter :
public ImageToImageFilter< TInputImage, TOutputImage >
{
public:
/** Extract dimension from input and output image. */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
/** Convenient typedefs for simplifying declarations. */
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
/** Standard class typedefs. */
typedef BinaryMedianImageFilter Self;
typedef ImageToImageFilter< InputImageType, OutputImageType> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(BinaryMedianImageFilter, ImageToImageFilter);
/** Image typedef support. */
typedef typename InputImageType::PixelType InputPixelType;
typedef typename OutputImageType::PixelType OutputPixelType;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename InputImageType::SizeType InputSizeType;
/** Set the radius of the neighborhood used to compute the median. */
itkSetMacro(Radius, InputSizeType);
/** Get the radius of the neighborhood used to compute the median */
itkGetConstReferenceMacro(Radius, InputSizeType);
/** Set the value associated with the Foreground (or the object) on
the binary input image and the Background . */
itkSetMacro(BackgroundValue, InputPixelType);
itkSetMacro(ForegroundValue, InputPixelType);
/** Get the value associated with the Foreground (or the object) on the
binary input image and the Background . */
itkGetConstReferenceMacro(BackgroundValue, InputPixelType);
itkGetConstReferenceMacro(ForegroundValue, InputPixelType);
/** BinaryMedianImageFilter needs a larger input requested region than
* the output requested region. As such, BinaryMedianImageFilter needs
* to provide an implementation for GenerateInputRequestedRegion()
* in order to inform the pipeline execution model.
*
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(InputEqualityComparableCheck,
(Concept::EqualityComparable<typename TInputImage::PixelType>));
itkConceptMacro(InputConvertibleToOutputCheck,
(Concept::Convertible<typename TInputImage::PixelType,
typename TOutputImage::PixelType>));
itkConceptMacro(SameDimensionCheck,
(Concept::SameDimension<InputImageDimension, OutputImageDimension>));
itkConceptMacro(InputOStreamWritableCheck,
(Concept::OStreamWritable<typename TInputImage::PixelType>));
/** End concept checking */
#endif
protected:
BinaryMedianImageFilter();
virtual ~BinaryMedianImageFilter() {}
void PrintSelf(std::ostream& os, Indent indent) const;
/** BinaryMedianImageFilter can be implemented as a multithreaded filter.
* Therefore, this implementation provides a ThreadedGenerateData()
* routine which is called for each processing thread. The output
* image data is allocated automatically by the superclass prior to
* calling ThreadedGenerateData(). ThreadedGenerateData can only
* write to the portion of the output image specified by the
* parameter "outputRegionForThread"
*
* \sa ImageToImageFilter::ThreadedGenerateData(),
* ImageToImageFilter::GenerateData() */
void ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId );
private:
BinaryMedianImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
InputSizeType m_Radius;
InputPixelType m_ForegroundValue;
InputPixelType m_BackgroundValue;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkBinaryMedianImageFilter.txx"
#endif
#endif
|
