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
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkBinaryThresholdImageFilterTest2.cxx,v $
Language: C++
Date: $Date: 2004-12-28 19:43:17 $
Version: $Revision: 1.2 $
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 "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkStatisticsImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
int itkBinaryThresholdImageFilterTest2(int ac, char* av[] )
{
if(ac < 4)
{
std::cerr << "Usage: " << av[0] <<" InputImage1 InputImage2 OutputImage\n";
return -1;
}
// Threshold one image based on the statistics of another image
//
//
// Define the dimension of the images
const unsigned int ImageDimension = 2;
// Declare the types of the images
typedef itk::Image<unsigned char, ImageDimension> ImageType;
typedef itk::Image<double, ImageDimension> FloatImageType;
// File reader and writer
typedef itk::ImageFileReader<FloatImageType> ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( av[1] );
ReaderType::Pointer reader2 = ReaderType::New();
reader2->SetFileName( av[2] );
typedef itk::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( av[3] );
// Declare the filter types
typedef itk::StatisticsImageFilter<FloatImageType> StatisticsType;
typedef itk::BinaryThresholdImageFilter<FloatImageType, ImageType> ThresholdType;
// Create the filters
StatisticsType::Pointer statistics = StatisticsType::New();
ThresholdType::Pointer threshold = ThresholdType::New();
// connect the standard pipeline connections
statistics->SetInput( reader2->GetOutput() );
threshold->SetInput( reader->GetOutput() );
// print before assigning thresholds
threshold->Print(std::cout);
// now connect the inputs and outputs that are decorated scalars
threshold->SetUpperThresholdInput( statistics->GetMeanOutput() );
threshold->SetLowerThresholdInput( statistics->GetMinimumOutput() );
// connect the writer
writer->SetInput( threshold->GetOutput() );
// Execute the filter
try
{
writer->Update();
}
catch(...)
{
std::cerr << "Caught an unexpected exception. " << std::endl;
std::cerr << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
|
