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
|
/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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.
*
*=========================================================================*/
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMultiOrderBSplineDecompositionImageFilter.h,v $
Date: $Date: 2010-03-19 07:06:01 $
Version: $Revision: 1.12 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.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 itkMultiOrderBSplineDecompositionImageFilter_h
#define itkMultiOrderBSplineDecompositionImageFilter_h
#include <vector>
#include "itkImageLinearIteratorWithIndex.h"
#include <vnl/vnl_matrix.h>
#include "itkImageToImageFilter.h"
namespace itk
{
/** \class MultiOrderBSplineDecompositionImageFilter
* \brief Calculates the B-Spline coefficients of an image.
* Spline order may be per dimension from 0 to 5 per.
*
* This class defines N-Dimension B-Spline transformation.
* It is based on:
* [1] M. Unser,
* "Splines: A Perfect Fit for Signal and Image Processing,"
* IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38,
* November 1999.
* [2] M. Unser, A. Aldroubi and M. Eden,
* "B-Spline Signal Processing: Part I--Theory,"
* IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 821-832,
* February 1993.
* [3] M. Unser, A. Aldroubi and M. Eden,
* "B-Spline Signal Processing: Part II--Efficient Design and Applications,"
* IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 834-848,
* February 1993.
* And code obtained from bigwww.epfl.ch by Philippe Thevenaz
*
* Limitations: Spline order must be between 0 and 5.
* Spline order must be set before setting the image.
* Uses mirror boundary conditions.
* Can only process LargestPossibleRegion
*
* \sa itkBSplineInterpolateImageFunction
*
* ***TODO: Is this an ImageFilter? or does it belong to another group?
* \ingroup ImageFilters
* \ingroup SingleThreaded
* \ingroup CannotBeStreamed
*/
template <class TInputImage, class TOutputImage>
class ITK_TEMPLATE_EXPORT MultiOrderBSplineDecompositionImageFilter
: public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(MultiOrderBSplineDecompositionImageFilter);
/** Standard class typedefs. */
using Self = MultiOrderBSplineDecompositionImageFilter;
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Run-time type information (and related methods). */
itkTypeMacro(MultiOrderBSplineDecompositionImageFilter, ImageToImageFilter);
/** New macro for creation of through a Smart Pointer */
itkNewMacro(Self);
/** Inherit input and output image types from Superclass. */
using typename Superclass::InputImageType;
using typename Superclass::InputImagePointer;
using typename Superclass::InputImageConstPointer;
using typename Superclass::OutputImagePointer;
using CoeffType = typename itk::NumericTraits<typename TOutputImage::PixelType>::RealType;
/** Dimension underlying input image. */
itkStaticConstMacro(ImageDimension, unsigned int, TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
/** Iterator typedef support */
using OutputLinearIterator = ImageLinearIteratorWithIndex<TOutputImage>;
/** Get/Sets the Spline Order, supports 0th - 5th order splines. The default
* is a 3rd order spline. */
void
SetSplineOrder(unsigned int order);
void
SetSplineOrder(unsigned int dimension, unsigned int order);
void
GetSplineOrder(unsigned int dimension)
{
return m_SplineOrder[dimension];
}
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(DimensionCheck, (Concept::SameDimension<ImageDimension, OutputImageDimension>));
itkConceptMacro(InputConvertibleToOutputCheck,
(Concept::Convertible<typename TInputImage::PixelType, typename TOutputImage::PixelType>));
itkConceptMacro(DoubleConvertibleToOutputCheck, (Concept::Convertible<double, typename TOutputImage::PixelType>));
/** End concept checking */
#endif
protected:
MultiOrderBSplineDecompositionImageFilter();
~MultiOrderBSplineDecompositionImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
void
GenerateData() override;
/** This filter requires all of the input image. */
void
GenerateInputRequestedRegion() override;
/** This filter must produce all of its output at once. */
void
EnlargeOutputRequestedRegion(DataObject * output) override;
/** These are needed by the smoothing spline routine. */
std::vector<CoeffType> m_Scratch{}; // temp storage for processing of Coefficients
typename TInputImage::SizeType m_DataLength{}; // Image size
unsigned int
m_SplineOrder[ImageDimension]{}; // User specified spline order per dimension (3rd or cubic is the default)
double m_SplinePoles[3]{}; // Poles calculated for a given spline order
int m_NumberOfPoles{}; // number of poles
double m_Tolerance{}; // Tolerance used for determining initial causal coefficient
unsigned int m_IteratorDirection{}; // Direction for iterator incrementing
private:
/** Determines the poles for dimension given the Spline Order. */
virtual void
SetPoles(unsigned int dimension);
/** Converts a vector of data to a vector of Spline coefficients. */
virtual bool
DataToCoefficients1D();
/** Converts an N-dimension image of data to an equivalent sized image
* of spline coefficients. */
void
DataToCoefficientsND();
/** Determines the first coefficient for the causal filtering of the data. */
virtual void
SetInitialCausalCoefficient(double z);
/** Determines the first coefficient for the anti-causal filtering of the data. */
virtual void
SetInitialAntiCausalCoefficient(double z);
/** Used to initialize the Coefficients image before calculation. */
void
CopyImageToImage();
/** Copies a vector of data from the Coefficients image to the m_Scratch vector. */
void
CopyCoefficientsToScratch(OutputLinearIterator &);
/** Copies a vector of data from m_Scratch to the Coefficients image. */
void
CopyScratchToCoefficients(OutputLinearIterator &);
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkMultiOrderBSplineDecompositionImageFilter.hxx"
#endif
#endif
|
