/usr/include/ITK-4.5/itkCurvatureFlowFunction.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.
*
*=========================================================================*/
#ifndef __itkCurvatureFlowFunction_hxx
#define __itkCurvatureFlowFunction_hxx
#include "itkCurvatureFlowFunction.h"
#include "vnl/vnl_math.h"
namespace itk
{
/**
* Constructor
*/
template< typename TImage >
CurvatureFlowFunction< TImage >
::CurvatureFlowFunction()
{
RadiusType r;
unsigned int j;
for ( j = 0; j < ImageDimension; j++ )
{
r[j] = 1;
}
this->SetRadius(r);
m_TimeStep = 0.05f;
}
/**
* Compute the global time step
*/
template< typename TImage >
typename CurvatureFlowFunction< TImage >::TimeStepType
CurvatureFlowFunction< TImage >
::ComputeGlobalTimeStep( void *itkNotUsed(gd) ) const
{
return this->GetTimeStep();
}
/**
* Update the solution at pixels which lies on the data boundary.
*/
template< typename TImage >
typename CurvatureFlowFunction< TImage >::PixelType
CurvatureFlowFunction< TImage >
::ComputeUpdate( const NeighborhoodType & it, void *itkNotUsed(gd),
const FloatOffsetType & itkNotUsed(offset) )
{
PixelRealType firstderiv[ImageDimension];
PixelRealType secderiv[ImageDimension];
PixelRealType crossderiv[ImageDimension][ImageDimension];
IdentifierType center;
IdentifierType stride[ImageDimension];
unsigned int i, j;
const NeighborhoodScalesType neighborhoodScales = this->ComputeNeighborhoodScales();
// get the center pixel position
center = it.Size() / 2;
// cache the stride for each dimension
for ( i = 0; i < ImageDimension; i++ )
{
stride[i] = it.GetStride( (IdentifierType)i );
}
PixelRealType magnitudeSqr = 0.0;
for ( i = 0; i < ImageDimension; i++ )
{
// compute first order derivatives
firstderiv[i] = 0.5 * ( it.GetPixel(center + stride[i])
- it.GetPixel(center - stride[i]) ) * neighborhoodScales[i];
// compute second order derivatives
secderiv[i] = ( it.GetPixel(center + stride[i])
- 2 * it.GetPixel(center) + it.GetPixel(center - stride[i]) ) * vnl_math_sqr(neighborhoodScales[i]);
// compute cross derivatives
for ( j = i + 1; j < ImageDimension; j++ )
{
crossderiv[i][j] = 0.25 * (
it.GetPixel(center - stride[i] - stride[j])
- it.GetPixel(center - stride[i] + stride[j])
- it.GetPixel(center + stride[i] - stride[j])
+ it.GetPixel(center + stride[i] + stride[j]) )
* neighborhoodScales[i] * neighborhoodScales[j];
}
// accumlate the gradient magnitude squared
magnitudeSqr += vnl_math_sqr( (double)firstderiv[i] );
}
if ( magnitudeSqr < 1e-9 )
{
return NumericTraits< PixelType >::Zero;
}
// compute the update value = mean curvature * magnitude
PixelRealType update = 0.0;
PixelRealType temp;
// accumulate dx^2 * (dyy + dzz) terms
for ( i = 0; i < ImageDimension; i++ )
{
temp = 0.0;
for ( j = 0; j < ImageDimension; j++ )
{
if ( j == i ) { continue; }
temp += secderiv[j];
}
update += temp * vnl_math_sqr( (double)firstderiv[i] );
}
// accumlate -2 * dx * dy * dxy terms
for ( i = 0; i < ImageDimension; i++ )
{
for ( j = i + 1; j < ImageDimension; j++ )
{
update -= 2 * firstderiv[i] * firstderiv[j]
* crossderiv[i][j];
}
}
update /= magnitudeSqr;
return static_cast< PixelType >( update );
}
} // end namespace itk
#endif
|