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
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
|
/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt 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 otbSFSTexturesImageFilter_h
#define otbSFSTexturesImageFilter_h
#include "otbSFSTexturesFunctor.h"
#include "itkImageToImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkConstNeighborhoodIterator.h"
namespace otb
{
/** \class SFSTexturesImageFilter
* \brief This functor computes the texture describes in the following publication
* It is based on line direction estimation.
*
* Please refer to Xin Huang, Liangpei Zhang and Pingxiang Li publication,
* Classification and Extraction of Spatial Features in Urban Areas
* Using High-Resolution Multispectral Imagery.
* IEEE Geoscience and Remote Sensing Letters,
* vol. 4, n. 2, 2007, pp 260-264
*
* The texture is computated for each pixel using its neighborhood.
* User can set the spatial threshold that is the max line length, the spectral threshold
* that is the max difference authorized between a pixel of the line and the center pixel
* of the current neighborhood. Alpha and RatioMaxConsideration are used to compute
* the \f$ \omega \f$ - mean value. Finally, The number of direction can be precised with
* NumberOfDirections.
* You can choose the computed textures using SetTextureStatus method (1:length, 2:width,
* 3:PSI, 4:w-mean, 5:ratio, 6:SD).
*
* \sa SFSTexturesFunctor
* \ingroup Textures
*
* \ingroup OTBTextures
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT SFSTexturesImageFilter :
public itk::ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef SFSTexturesImageFilter Self;
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
typedef itk::ImageToImageFilter<TInputImage, TOutputImage> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(UnaryFunctorNeighborhoodImageFilter, ImageToImageFilter);
/** Some convenient typedefs. */
typedef typename InputImageType::ConstPointer InputImagePointerType;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename InputImageType::SizeType InputImageSizeType;
typedef typename OutputImageType::Pointer OutputImagePointerType;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
typedef itk::ConstNeighborhoodIterator<TInputImage> NeighborhoodIteratorType;
typedef typename NeighborhoodIteratorType::RadiusType RadiusType;
typedef Functor::SFSTexturesFunctor<NeighborhoodIteratorType, OutputImagePixelType> FunctorType;
typedef typename FunctorType::OutputType FunctorOutputType;
typedef itk::ProcessObject ProcessObjectType;
/**Set/Get the radius of neighborhood.*/
itkGetMacro(Radius, unsigned int);
/** Functor accessors */
FunctorType& GetFunctor()
{
return m_Functor;
}
const FunctorType& GetFunctor() const
{
return m_Functor;
}
void SetFunctor(const FunctorType& functor)
{
m_Functor = functor;
this->Modified();
}
/** Spatial Threshold accessor */
void SetSpatialThreshold(unsigned int thresh)
{
this->GetFunctor().SetSpatialThreshold(thresh);
m_Radius = thresh;
this->Modified();
}
unsigned int GetSpatialThreshold()
{
return this->GetFunctor().GetSpatialThreshold();
}
/** Spectral Threshold accessor */
void SetSpectralThreshold(InputImagePixelType thresh)
{
this->GetFunctor().SetSpectralThreshold(thresh);
}
InputImagePixelType GetSpectralThreshold()
{
return this->GetFunctor().GetSpectralThreshold();
}
/** RatioMaxConsiderationNumber accessor */
void SetRatioMaxConsiderationNumber(unsigned int value)
{
this->GetFunctor().SetRatioMaxConsiderationNumber(value);
}
unsigned int GetRatioMaxConsiderationNumber()
{
return this->GetFunctor().GetRatioMaxConsiderationNumber();
}
/** Alpha accessor */
void SetAlpha(double alpha)
{
this->GetFunctor().SetAlpha(alpha);
}
double GetAlpha()
{
return this->GetFunctor().GetAlpha();
}
/** Number Of Directions */
void SetNumberOfDirections(unsigned int D)
{
this->GetFunctor().SetNumberOfDirections(D);
double step = CONST_PI / static_cast<double>(D);
this->GetFunctor().SetDirectionStep(step);
}
unsigned int GetNumberOfDirections()
{
return this->GetFunctor().GetNumberOfDirections();
}
/** Texture selection accessors
* 1: LENGTH
* 2: WIDTH
* 3: PSI
* 4: WMEAN
* 5: RATIO
* 6: SD
* Set to 1 means the texture will be computed.
**/
typedef enum {LENGTH = 1, WIDTH, PSI, WMEAN, RATIO, SD} FeatureType;
void SetFeatureStatus(FeatureType id, bool isSelected)
{
if (static_cast<unsigned int>(id) > this->GetTexturesStatus().size() || id == 0)
{
itkExceptionMacro(
<< "Invalid texture index " << id << ", must be in [1;" << this->GetTexturesStatus().size() << "]");
}
else
{
this->GetFunctor().SetTextureStatus(id - 1, isSelected);
}
}
std::vector<bool> GetTexturesStatus()
{
return this->GetFunctor().GetTexturesStatus();
}
void InitFeatureStatus(bool status);
/** Return output length image */
const OutputImageType * GetLengthOutput() const;
OutputImageType * GetLengthOutput();
/** Return output width image */
const OutputImageType * GetWidthOutput() const;
OutputImageType * GetWidthOutput();
/** Return output PSI image */
const OutputImageType * GetPSIOutput() const;
OutputImageType * GetPSIOutput();
/** Return output WMean image */
const OutputImageType * GetWMeanOutput() const;
OutputImageType * GetWMeanOutput();
/** Return output ratio image */
const OutputImageType * GetRatioOutput() const;
OutputImageType * GetRatioOutput();
/** Return output SD image */
const OutputImageType * GetSDOutput() const;
OutputImageType * GetSDOutput();
void GenerateOutputInformation() ITK_OVERRIDE;
std::vector<FunctorType> m_FunctorList;
protected:
SFSTexturesImageFilter();
~SFSTexturesImageFilter() ITK_OVERRIDE{}
void PrintSelf(std::ostream& os, itk::Indent indent) const ITK_OVERRIDE;
void BeforeThreadedGenerateData() ITK_OVERRIDE;
void ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId) ITK_OVERRIDE;
/** Pad the input requested region by radius */
void GenerateInputRequestedRegion(void) ITK_OVERRIDE;
private:
SFSTexturesImageFilter(const Self &); //purposely not implemented
void operator =(const Self&); //purposely not implemented
unsigned int m_Radius;
FunctorType m_Functor;
};
} // end namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbSFSTexturesImageFilter.txx"
#endif
#endif
|
