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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkImageRegistrationMethodImageSource.h,v $
Language: C++
Date: $Date: 2003-09-10 14:30:03 $
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.
=========================================================================*/
#include "itkImage.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkCommandIterationUpdate.h"
/**
* This class generates two 2D-Gaussians (standard deviation RegionSize/2)
* One is shifted by 7,3 pixels from the other.
*
* These two images are provided to the registration methods in this
* directory in order to obtain a uniform test input data.
*
* Therefore the solution of the registration is |-7 -3|
*/
namespace itk
{
namespace testhelper
{
template< typename TFixedPixelType,
typename TMovingPixelType,
unsigned int NDimension >
class ImageRegistrationMethodImageSource : public itk::Object
{
public:
typedef ImageRegistrationMethodImageSource Self;
typedef Object Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
typedef Array<double> ParametersType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(Image, Object);
typedef itk::Image<TMovingPixelType,NDimension> MovingImageType;
typedef itk::Image<TFixedPixelType,NDimension > FixedImageType;
const MovingImageType * GetMovingImage(void) const
{
return m_MovingImage.GetPointer();
}
const FixedImageType * GetFixedImage(void) const
{
return m_FixedImage.GetPointer();
}
const ParametersType & GetActualParameters(void) const
{
return m_Parameters;
}
void GenerateImages( const typename MovingImageType::SizeType & size )
{
typename MovingImageType::IndexType index;
index.Fill(0);
typename MovingImageType::RegionType region;
region.SetSize( size );
region.SetIndex( index );
m_MovingImage->SetLargestPossibleRegion( region );
m_MovingImage->SetBufferedRegion( region );
m_MovingImage->SetRequestedRegion( region );
m_MovingImage->Allocate();
m_FixedImage->SetLargestPossibleRegion( region );
m_FixedImage->SetBufferedRegion( region );
m_FixedImage->SetRequestedRegion( region );
m_FixedImage->Allocate();
/* Fill images with a 2D gaussian*/
typedef itk::ImageRegionIteratorWithIndex<MovingImageType> MovingImageIteratorType;
typedef itk::ImageRegionIteratorWithIndex<FixedImageType> FixedImageIteratorType;
itk::Point<double,2> center;
center[0] = (double)region.GetSize()[0]/2.0;
center[1] = (double)region.GetSize()[1]/2.0;
const double s = (double)region.GetSize()[0]/2.0;
itk::Point<double,2> p;
itk::Vector<double,2> d;
/* Set the displacement */
itk::Vector<double,2> displacement;
displacement[0] = m_Parameters[0];
displacement[1] = m_Parameters[1];
MovingImageIteratorType ri(m_MovingImage,region);
FixedImageIteratorType ti(m_FixedImage,region);
while(!ri.IsAtEnd())
{
p[0] = ri.GetIndex()[0];
p[1] = ri.GetIndex()[1];
d = p-center;
d += displacement;
const double x = d[0];
const double y = d[1];
const double value = 200.0 * exp( - ( x*x + y*y )/(s*s) );
ri.Set( static_cast<typename MovingImageType::PixelType>(value) );
++ri;
}
while(!ti.IsAtEnd())
{
p[0] = ti.GetIndex()[0];
p[1] = ti.GetIndex()[1];
d = p-center;
const double x = d[0];
const double y = d[1];
const double value = 200.0 * exp( - ( x*x + y*y )/(s*s) );
ti.Set( static_cast<typename FixedImageType::PixelType>(value) );
++ti;
}
}
protected:
ImageRegistrationMethodImageSource()
{
m_MovingImage = MovingImageType::New();
m_FixedImage = FixedImageType::New();
m_Parameters = ParametersType(2);
m_Parameters[0] = 7.0;
m_Parameters[1] = 3.0;
}
private:
typename FixedImageType::Pointer m_FixedImage;
typename MovingImageType::Pointer m_MovingImage;
ParametersType m_Parameters;
};
} // end namespace testhelper
} // end namespace itk
|