File: itkImageRegistrationMethodTest_11.cxx

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 (96 lines) | stat: -rw-r--r-- 3,295 bytes parent folder | download | duplicates (2)
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
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkImageRegistrationMethodTest_11.cxx,v $
  Language:  C++
  Date:      $Date: 2003-09-10 14:30:03 $
  Version:   $Revision: 1.6 $

  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.

=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif

#include "itkImageRegistrationMethod.h"
#include "itkTranslationTransform.h"
#include "itkMeanReciprocalSquareDifferenceImageToImageMetric.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkGradientDescentOptimizer.h"

/** 
 *  This program test one instantiation of the itk::ImageRegistrationMethod class
 * 
 *  Only typedef are tested in this file.
 */ 

int itkImageRegistrationMethodTest_11(int, char* [] )
{

  bool pass = true;

  const unsigned int dimension = 3;

  // Fixed Image Type
  typedef itk::Image<float,dimension>                    FixedImageType;

  // Moving Image Type
  typedef itk::Image<char,dimension>                     MovingImageType;

  // Transform Type
  typedef itk::TranslationTransform< double,dimension >  TransformType;

  // Optimizer Type
  typedef itk::GradientDescentOptimizer                  OptimizerType;

  // Metric Type
  typedef itk::MeanReciprocalSquareDifferenceImageToImageMetric< 
                                    FixedImageType, 
                                    MovingImageType >    MetricType;

  // Interpolation technique
  typedef itk:: LinearInterpolateImageFunction< 
                                    MovingImageType,
                                    double          >    InterpolatorType;

  // Registration Method
  typedef itk::ImageRegistrationMethod< 
                                    FixedImageType, 
                                    MovingImageType >    RegistrationType;


  MetricType::Pointer         metric        = MetricType::New();
  TransformType::Pointer      transform     = TransformType::New();
  OptimizerType::Pointer      optimizer     = OptimizerType::New();
  TransformType::Pointer      trasform      = TransformType::New();
  FixedImageType::Pointer     fixedImage    = FixedImageType::New();  
  MovingImageType::Pointer    movingImage   = MovingImageType::New();  
  InterpolatorType::Pointer   interpolator  = InterpolatorType::New();
  RegistrationType::Pointer   registration  = RegistrationType::New();


  registration->SetMetric(        metric        );
  registration->SetOptimizer(     optimizer     );
  registration->SetTransform(     transform     );
  registration->SetFixedImage(    fixedImage    );
  registration->SetMovingImage(   movingImage   );
  registration->SetInterpolator(  interpolator  );


  if( !pass )
    {
    std::cout << "Test failed." << std::endl;
    return EXIT_FAILURE;
    }

  std::cout << "Test passed." << std::endl;
  return EXIT_SUCCESS;


}