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
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "itkMaskedImageToHistogramFilter.h"
#include "itkHistogramToLogProbabilityImageFilter.h"
#include "itkImage.h"
#include "itkRGBPixel.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkComposeImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkMaskedImageToHistogramFilterTest1(int argc, char * argv[])
{
if (argc < 6)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputImageFileName inputImageFileName maskImage maskValue outputHistogramFile" << std::endl;
return EXIT_FAILURE;
}
using PixelComponentType = unsigned char;
constexpr unsigned int Dimension = 3;
using VectorPixelType = itk::Vector<PixelComponentType, 2>;
using ImageType = itk::Image<unsigned char, Dimension>;
using VectorImageType = itk::Image<VectorPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
auto reader3 = ReaderType::New();
reader3->SetFileName(argv[3]);
using ComposeType = itk::ComposeImageFilter<ImageType, VectorImageType>;
auto compose = ComposeType::New();
compose->SetInput1(reader->GetOutput());
compose->SetInput2(reader2->GetOutput());
using HistogramFilterType = itk::Statistics::MaskedImageToHistogramFilter<VectorImageType, ImageType>;
auto histogramFilter = HistogramFilterType::New();
histogramFilter->SetInput(compose->GetOutput());
histogramFilter->SetMaskImage(reader3->GetOutput());
histogramFilter->SetMaskValue(std::stoi(argv[4]));
itk::SimpleFilterWatcher watcher(histogramFilter, "filter");
using HistogramType = HistogramFilterType::HistogramType;
using SizeType = HistogramFilterType::HistogramSizeType;
// // Setting bin mins and max
// using HistogramMeasurementVectorType = HistogramFilterType::HistogramMeasurementVectorType;
// HistogramMeasurementVectorType histogramBinMinimum( 2 );
// histogramBinMinimum[0] = 0;
// histogramBinMinimum[1] = 0;
// HistogramMeasurementVectorType histogramBinMaximum( 2 );
// histogramBinMaximum[0] = 256;
// histogramBinMaximum[1] = 256;
// histogramFilter->SetHistogramBinMinimum( histogramBinMinimum );
// histogramFilter->SetHistogramBinMaximum( histogramBinMaximum );
// histogramFilter->SetAutoMinimumMaximum( false );
// SizeType size( 2 );
// size.Fill(256);
// histogramFilter->SetHistogramSize( size );
// TODO: this Update() shouldn't be needed - remove it.
ITK_TRY_EXPECT_NO_EXCEPTION(histogramFilter->Update());
// use a 3D image to check the behavior of HistogramToImageFilter when the image
// is of greater dimension than the histogram
using FloatImageType = itk::Image<float, 3>;
using ImageFilterType = itk::HistogramToLogProbabilityImageFilter<HistogramType, FloatImageType>;
auto imageFilter = ImageFilterType::New();
imageFilter->SetInput(histogramFilter->GetOutput());
using RescaleType = itk::RescaleIntensityImageFilter<FloatImageType, ImageType>;
auto rescale = RescaleType::New();
rescale->SetInput(imageFilter->GetOutput());
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(rescale->GetOutput());
writer->SetFileName(argv[5]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// print the image produced by HistogramToLogProbabilityImageFilter for visual inspection
imageFilter->GetOutput()->Print(std::cout);
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
|
