File: itkHistogramToEntropyImageFilterTest2.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 (143 lines) | stat: -rw-r--r-- 4,562 bytes parent folder | download | duplicates (6)
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
/*=========================================================================
 *
 *  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 "itkImageToHistogramFilter.h"
#include "itkMinimumMaximumImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkJoinImageFilter.h"
#include "itkHistogramToEntropyImageFilter.h"

int itkHistogramToEntropyImageFilterTest2( int argc, char * argv [] )
{

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


  const unsigned int                Dimension = 2;
  typedef unsigned char             PixelComponentType;

  typedef itk::Image< PixelComponentType, Dimension > ScalarImageType;
  typedef itk::ImageFileReader< ScalarImageType >     ReaderType;

  ReaderType::Pointer reader1 = ReaderType::New();
  ReaderType::Pointer reader2 = ReaderType::New();

  reader1->SetFileName( argv[1] );
  reader2->SetFileName( argv[2] );

  try
    {
    reader1->Update();
    reader2->Update();
    }
  catch( itk::ExceptionObject & excp )
    {
    std::cerr << "Problem encoutered while reading image file : " << argv[1] << std::endl;
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }

  typedef itk::JoinImageFilter< ScalarImageType, ScalarImageType > JoinFilterType;

  JoinFilterType::Pointer joinFilter = JoinFilterType::New();

  typedef JoinFilterType::OutputImageType     ArrayImageType;

  joinFilter->SetInput1( reader1->GetOutput() );
  joinFilter->SetInput2( reader2->GetOutput() );

  typedef itk::Statistics::ImageToHistogramFilter< ArrayImageType >
    HistogramFilterType;

  typedef HistogramFilterType::HistogramMeasurementVectorType  HistogramMeasurementVectorType;

  const unsigned int NumberOfComponents = 2;

  itk::MinimumMaximumImageFilter<ScalarImageType>::Pointer minmaxFilter
    = itk::MinimumMaximumImageFilter<ScalarImageType>::New();

  HistogramMeasurementVectorType imageMin( NumberOfComponents );
  HistogramMeasurementVectorType imageMax( NumberOfComponents );

  minmaxFilter->SetInput( reader1->GetOutput() );
  minmaxFilter->Update();

  imageMin[0] = minmaxFilter->GetMinimum();
  imageMax[0] = minmaxFilter->GetMaximum();

  minmaxFilter->SetInput( reader2->GetOutput() );
  minmaxFilter->Update();

  imageMin[1] = minmaxFilter->GetMinimum();
  imageMax[1] = minmaxFilter->GetMaximum();


  HistogramFilterType::Pointer histogramFilter = HistogramFilterType::New();

  histogramFilter->SetInput( joinFilter->GetOutput() );

  HistogramFilterType::HistogramSizeType numberOfBins( NumberOfComponents );

  numberOfBins[0] = static_cast<unsigned int>( imageMax[0] - imageMin[0] + 1 );
  numberOfBins[1] = static_cast<unsigned int>( imageMax[1] - imageMin[1] + 1 );

  histogramFilter->SetHistogramSize( numberOfBins );

  histogramFilter->SetMarginalScale(1.0);

  histogramFilter->SetHistogramBinMinimum( imageMin );
  histogramFilter->SetHistogramBinMaximum( imageMax );

  histogramFilter->Update();


  typedef HistogramFilterType::HistogramType  HistogramType;
  const HistogramType * histogram = histogramFilter->GetOutput();

  typedef itk::HistogramToEntropyImageFilter< HistogramType > HistogramToImageFilterType;
  HistogramToImageFilterType::Pointer histogramToImageFilter = HistogramToImageFilterType::New();

  histogramToImageFilter->SetInput( histogram );

  typedef HistogramToImageFilterType::OutputImageType OutputImageType;

  typedef itk::ImageFileWriter< OutputImageType >  WriterType;
  WriterType::Pointer writer = WriterType::New();

  writer->SetFileName( argv[3] );

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

  try
    {
    writer->Update();
    }
  catch( itk::ExceptionObject & excp )
    {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }

  return EXIT_SUCCESS;
}