File: itkNormalizeImageFilter.h

package info (click to toggle)
insighttoolkit 3.6.0-3
  • links: PTS
  • area: main
  • in suites: lenny
  • size: 94,956 kB
  • ctags: 74,981
  • sloc: cpp: 355,621; ansic: 195,070; fortran: 28,713; python: 3,802; tcl: 1,996; sh: 1,175; java: 583; makefile: 415; csh: 184; perl: 175
file content (87 lines) | stat: -rw-r--r-- 2,983 bytes parent folder | download
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
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkNormalizeImageFilter.h,v $
  Language:  C++
  Date:      $Date: 2007-02-13 10:21:01 $
  Version:   $Revision: 1.9 $

  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 __itkNormalizeImageFilter_h
#define __itkNormalizeImageFilter_h

#include "itkImageToImageFilter.h"
#include "itkStatisticsImageFilter.h"
#include "itkShiftScaleImageFilter.h"

#include "itkEventObject.h"

namespace itk {

/** \class NormalizeImageFilter 
 * \brief Normalize an image by setting its mean to zero and variance to one.
 *
 * NormalizeImageFilter shifts and scales an image so that the pixels
 * in the image have a zero mean and unit variance. This filter uses
 * StatisticsImageFilter to compute the mean and variance of the input
 * and then applies ShiftScaleImageFilter to shift and scale the pixels.
 *
 * NB: since this filter normalizes the data to lie within -1 to 1,
 * integral types will produce an image that DOES NOT HAVE a unit variance.
 * \ingroup MathematicalImageFilters
 */
template<class TInputImage,class TOutputImage>
class ITK_EXPORT NormalizeImageFilter : 
    public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
  /** Standard Self typedef */
  typedef NormalizeImageFilter Self;
  typedef ImageToImageFilter<TInputImage,TOutputImage>  Superclass;
  typedef SmartPointer<Self>        Pointer;
  typedef SmartPointer<const Self>  ConstPointer;
  
  /** Method for creation through the object factory. */
  itkNewMacro(Self);  

  /** Runtime information support. */
  itkTypeMacro(NormalizeImageFilter, ImageToImageFilter);
  
  /** Image related typedefs. */
  typedef typename TInputImage::Pointer InputImagePointer;
  typedef typename TOutputImage::Pointer OutputImagePointer;

  /** NormalizeImageFilter must call modified on its internal filters */
  virtual void Modified() const;

protected:
  NormalizeImageFilter();

  /** GenerateData. */
  void  GenerateData ();

  // Override since the filter needs all the data for the algorithm
  void GenerateInputRequestedRegion();

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

  typename StatisticsImageFilter<TInputImage>::Pointer m_StatisticsFilter;
  typename ShiftScaleImageFilter<TInputImage,TOutputImage>::Pointer m_ShiftScaleFilter;
} ; // end of class

} // end namespace itk
  
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkNormalizeImageFilter.txx"
#endif

#endif