File: itkBSplineScatteredDataPointSetToImageFilterTest3.cxx

package info (click to toggle)
insighttoolkit4 4.13.3withdata-dfsg2-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 491,256 kB
  • sloc: cpp: 557,600; ansic: 180,546; fortran: 34,788; python: 16,572; sh: 2,187; lisp: 2,070; tcl: 993; java: 362; perl: 200; makefile: 133; csh: 81; pascal: 69; xml: 19; ruby: 10
file content (156 lines) | stat: -rw-r--r-- 4,798 bytes parent folder | download | duplicates (4)
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
/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/

#include "itkCastImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkPointSet.h"
#include "itkBSplineScatteredDataPointSetToImageFilter.h"
#include "itkTestingMacros.h"

#include <fstream>

/**
 * In this test, we approximate a sequence of 3D points with a parametric
 * curve described by B-Splines
 */
int itkBSplineScatteredDataPointSetToImageFilterTest3( int argc, char * argv [] )
{

  if( argc < 3 )
    {
    std::cerr << "Missing arguments" << std::endl;
    std::cerr << "Usage:" << std::endl;
    std::cerr << argv[0] << "inputPointsFile.txt outputImage" << std::endl;
    return EXIT_FAILURE;
    }

  const unsigned int ParametricDimension = 1;
  const unsigned int DataDimension = 3;

  typedef double                                              RealType;
  typedef unsigned char                                       OutputPixelType;
  typedef itk::Vector<RealType, DataDimension>                VectorType;
  typedef itk::Vector<OutputPixelType, DataDimension>         OutputVectorType;
  typedef itk::Image< VectorType, ParametricDimension>        ImageType;
  typedef itk::Image< OutputVectorType, ParametricDimension>  OutputImageType;
  typedef VectorType                                          PointSetPixelType;

  typedef itk::PointSet< PointSetPixelType, ParametricDimension > PointSetType;

  PointSetType::Pointer pointSet = PointSetType::New();

  // Read the input points
  std::ifstream inputFile;
  inputFile.open( argv[1] );

  // The actual data to be approximated
  VectorType P;

  // Parameter of the curve
  PointSetType::PointType parameterPosition;

  unsigned int pointCounter = 0;

  inputFile >> P;

  //  FIXME: add parameterization of the input points, in the range [0:1]
  double t = 0.0;

  while( ! inputFile.eof() )
    {
    parameterPosition[0] = t;
    t += 0.01; // FIXME

    pointSet->SetPoint( pointCounter, parameterPosition );
    pointSet->SetPointData( pointCounter, P );

    pointCounter++;
    inputFile >> P;
    }

  inputFile.close();

  // Instantiate the filter and set the parameters
  typedef itk::BSplineScatteredDataPointSetToImageFilter
    <PointSetType, ImageType> FilterType;

  FilterType::Pointer filter = FilterType::New();

  EXERCISE_BASIC_OBJECT_METHODS( filter, BSplineScatteredDataPointSetToImageFilter,
    PointSetToImageFilter );

  // Define the parametric domain
  ImageType::SpacingType spacing;
  spacing.Fill( 0.001 );
  ImageType::SizeType size;
  // Adding 0.5 to avoid rounding errors
  size.Fill( static_cast<unsigned int>( 1.0/spacing[0] +.5 ) + 1 );
  ImageType::PointType origin;
  origin.Fill( 0.0 );

  filter->SetSize( size );
  filter->SetOrigin( origin );
  filter->SetSpacing( spacing );
  filter->SetInput( pointSet );

  filter->SetSplineOrder( 3 );
  FilterType::ArrayType ncps;
  ncps.Fill( 4 );
  filter->SetNumberOfControlPoints( ncps );

  // We set an extreme number of levels to show how this
  // fails because of the choice of B-spline epsilon
  filter->SetNumberOfLevels( 15 );

  bool generateOutputImage = true;
  filter->SetGenerateOutputImage( generateOutputImage );
  TEST_SET_GET_VALUE( generateOutputImage, filter->GetGenerateOutputImage() );

  filter->GenerateOutputImageOff();
  TEST_SET_GET_VALUE( false, filter->GetGenerateOutputImage() );

  filter->GenerateOutputImageOn();
  TEST_SET_GET_VALUE( true, filter->GetGenerateOutputImage() );


  TRY_EXPECT_NO_EXCEPTION( filter->Update() );

  // Get the filter output
  ImageType::Pointer outputImage = filter->GetOutput();

  // Cast the output image
  typedef itk::CastImageFilter< ImageType, OutputImageType > CastImageFilterType;

  CastImageFilterType::Pointer caster = CastImageFilterType::New();

  caster->SetInput( outputImage );

  // Write the result image
  typedef itk::ImageFileWriter< OutputImageType > WriterType;

  WriterType::Pointer writer = WriterType::New();

  writer->SetFileName( argv[2] );

  writer->SetInput( caster->GetOutput() );

  TRY_EXPECT_NO_EXCEPTION( writer->Update() );


  return EXIT_SUCCESS;
}