This file is indexed.

/usr/include/ITK-4.5/itkLabelImageGaussianInterpolateImageFunction.h 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
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkLabelImageGaussianInterpolateImageFunction.h,v $
  Language:  C++
  Date:      $Date: $
  Version:   $Revision: $

  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 __itkLabelImageGaussianInterpolateImageFunction_h
#define __itkLabelImageGaussianInterpolateImageFunction_h

#include "itkGaussianInterpolateImageFunction.h"

namespace itk
{

/** \class LabelImageGaussianInterpolateImageFunction
 * \brief Interpolation function for multi-label images that implicitly smooths each
 * unique value in the image corresponding to each label set element and returns the
 * corresponding label set element with the largest wieght.
 *
 * This filter is an alternative to nearest neighbor interpolation for multi-label
 * images. Given a multi-label image \c I with label set \c L, this function returns a
 * label at the non-voxel position \c I(x), based on the following rule
 *
 * \f[
 * I(x) = \arg\max_{l \in L} (G_\sigma * I_l)(x)
 * \f]
 *
 * Where \f$ I_l \f$ is the \c l-th binary component of the multilabel image. In other words,
 * each label in the multi-label image is convolved with a Gaussian, and the label
 * for which the response is largest is returned. For sigma=0, this is just nearest
 * neighbor interpolation.
 *
 * This class defines an N-dimensional Gaussian interpolation function for label
 * using the vnl error function.  The two parameters associated with this function
 * are:
 * \li \c Sigma - a scalar array of size ImageDimension determining the width
 *      of the interpolation function.
 * \li \c Alpha - a scalar specifying the cutoff distance over which the function
 *      is calculated.
 *
 * \note The input image can be of any type, but the number of unique intensity values
 * in the image will determine the amount of memory needed to complete each interpolation.
 *
 *
 * \author Paul Yushkevich
 * \author Nick Tustison
 *
 * \ingroup ITKImageFunction
 */

template <typename TInputImage, typename TCoordRep = double,
          typename TPixelCompare = std::less<typename itk::NumericTraits<typename TInputImage::PixelType>::RealType> >
class LabelImageGaussianInterpolateImageFunction :
  public GaussianInterpolateImageFunction<TInputImage, TCoordRep>
{
public:
  /** Standard class typedefs. */
  typedef LabelImageGaussianInterpolateImageFunction                Self;
  typedef GaussianInterpolateImageFunction<TInputImage, TCoordRep>  Superclass;
  typedef SmartPointer<Self>                                        Pointer;
  typedef SmartPointer<const Self>                                  ConstPointer;
  typedef typename TInputImage::PixelType                           InputPixelType;

  /** Run-time type information (and related methods). */
  itkTypeMacro( LabelImageGaussianInterpolateImageFunction, GaussianInterpolateImageFunction );

  /** Method for creation through the object factory. */
  itkNewMacro( Self );

  /** ImageDimension constant */
  itkStaticConstMacro( ImageDimension, unsigned int, TInputImage::ImageDimension );

  /** OutputType typedef support. */
  typedef typename Superclass::OutputType OutputType;

  /** InputImageType typedef support. */
  typedef typename Superclass::InputImageType InputImageType;

  /** RealType typedef support. */
  typedef typename Superclass::RealType RealType;

  /** Index typedef support. */
  typedef typename Superclass::IndexType IndexType;

  /** ContinuousIndex typedef support. */
  typedef typename Superclass::ContinuousIndexType ContinuousIndexType;

  /** Array typedef support */
  typedef typename Superclass::ArrayType ArrayType;

  /**
   * Evaluate at the given index
   */
  virtual OutputType EvaluateAtContinuousIndex(
    const ContinuousIndexType & cindex ) const
    {
    return this->EvaluateAtContinuousIndex( cindex, NULL );
    }

protected:
  LabelImageGaussianInterpolateImageFunction();
  ~LabelImageGaussianInterpolateImageFunction(){};

private:
  LabelImageGaussianInterpolateImageFunction( const Self& ); //purposely not implemented
  void operator=( const Self& ); //purposely not implemented

  /**
   * Evaluate function value at the given index
   */
  virtual OutputType EvaluateAtContinuousIndex(
    const ContinuousIndexType &, OutputType * ) const;
};

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkLabelImageGaussianInterpolateImageFunction.hxx"
#endif

#endif