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
|
/*=========================================================================
*
* 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 <fstream>
#include "itkConfidenceConnectedImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTextOutput.h"
#include "itkSimpleFilterWatcher.h"
int itkConfidenceConnectedImageFilterTest(int ac, char* av[] )
{
// Comment the following if you want to use the itk text output window
itk::OutputWindow::SetInstance(itk::TextOutput::New());
if(ac < 5)
{
std::cerr << "Usage: " << av[0] << " InputImage BaselineImage seed_x seed_y\n";
return -1;
}
typedef unsigned char PixelType;
typedef itk::Image<PixelType, 2> myImage;
itk::ImageFileReader<myImage>::Pointer input
= itk::ImageFileReader<myImage>::New();
input->SetFileName(av[1]);
// Create a filter
typedef itk::ConfidenceConnectedImageFilter<myImage,myImage> FilterType;
FilterType::Pointer filter = FilterType::New();
itk::SimpleFilterWatcher filterWatch(filter);
filter->SetInput(input->GetOutput());
filter->SetInitialNeighborhoodRadius( 3 ); // measured in pixels
FilterType::IndexType seed; seed[0] = atoi(av[3]); seed[1] = atoi(av[4]);
// FilterType::IndexType seed; seed[0] = 56; seed[1] = 90;
// FilterType::IndexType seed; seed[0] = 96; seed[1] = 214;
filter->SetSeed(seed);
filter->SetMultiplier(2.5);
filter->SetReplaceValue(255);
filter->SetNumberOfIterations(10);
const FilterType::SeedsContainerType &seeds = filter->GetSeeds();
std::cout << "Filter Seeds";
for(FilterType::SeedsContainerType::const_iterator it =
seeds.begin(); it != seeds.end(); it++)
{
std::cout << " " << (*it);
}
std::cout << std::endl;
try
{
input->Update();
filter->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return -1;
}
// Test the GetMacros
double doubleMultiplier = filter->GetMultiplier();
std::cout << "filter->GetMultiplier(): "
<< doubleMultiplier
<< std::endl;
unsigned int uintNumberOfIterations = filter->GetNumberOfIterations();
std::cout << "filter->GetNumberOfIterations(): "
<< uintNumberOfIterations
<< std::endl;
PixelType pixelReplaceValue = filter->GetReplaceValue();
std::cout << "filter->GetReplaceValue(): "
<< static_cast<itk::NumericTraits<PixelType>::PrintType>(pixelReplaceValue)
<< std::endl;
const unsigned int cuintInitialNeighborhoodRadius = filter->GetInitialNeighborhoodRadius();
std::cout << "filter->GetInitialNeighborhoodRadius(): "
<< cuintInitialNeighborhoodRadius
<< std::endl;
const double mean = filter->GetMean();
std::cout << "filter->GetMean(): "
<< mean
<< std::endl;
const double variance = filter->GetVariance();
std::cout << "filter->GetVariance(): "
<< variance
<< std::endl;
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
// Exercise AddSeed() method
filter->AddSeed( seed );
return EXIT_SUCCESS;
}
|
