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
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
|
/*=========================================================================
*
* 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 "itkRandomImageSource.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkMath.h"
int itkBinaryThresholdImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int ImageDimension = 3;
// Declare the types of the images
typedef itk::Image<unsigned char, ImageDimension> InputImageType;
typedef itk::Image<float, ImageDimension> OutputImageType;
typedef InputImageType::PixelType InputPixelType;
typedef OutputImageType::PixelType OutputPixelType;
// Declare iterator type
typedef itk::ImageRegionIteratorWithIndex<
InputImageType> InputIteratorType;
typedef itk::ImageRegionIteratorWithIndex<
OutputImageType> OutputIteratorType;
// Use a random image source as input
typedef itk::RandomImageSource<InputImageType> SourceType;
SourceType::Pointer source = SourceType::New();
InputImageType::SizeValueType sizeArray[ImageDimension] = { 3,3,3 };
source->SetMin( itk::NumericTraits<InputPixelType>::ZeroValue() );
source->SetMax( itk::NumericTraits<InputPixelType>::max() );
source->SetSize( sizeArray );
// Declare the type for the binary threshold filter
typedef itk::BinaryThresholdImageFilter< InputImageType,
OutputImageType > FilterType;
// Create a filter
FilterType::Pointer filter = FilterType::New();
// Setup ivars
InputPixelType lower = 64;
InputPixelType upper = 128;
filter->SetUpperThreshold( upper );
filter->SetLowerThreshold( lower );
OutputPixelType inside = -0.5;
OutputPixelType outside = 0.5;
filter->SetInsideValue( inside );
filter->SetOutsideValue( outside );
filter->Print( std::cout );
filter->SetFunctor(filter->GetFunctor());
// exercise Get methods
std::cout << "OutsideValue: " << filter->GetOutsideValue() << std::endl;
std::cout << "InsideValue: " << filter->GetInsideValue() << std::endl;
std::cout << "UpperThreshold: "
<< itk::NumericTraits<InputPixelType>::PrintType(filter->GetUpperThreshold())
<< std::endl;
std::cout << "LowerThreshold: "
<< itk::NumericTraits<InputPixelType>::PrintType(filter->GetLowerThreshold())
<< std::endl;
// Connect the input images
filter->SetInput( source->GetOutput() );
// Get the Smart Pointer to the Filter Output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Execute the filter
try
{
filter->Update();
filter->SetFunctor(filter->GetFunctor());
}
catch(...)
{
std::cerr << "Caught an unexpected exception. " << std::endl;
std::cerr << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
// Create an iterator for going through the image output
InputIteratorType it( source->GetOutput(), source->GetOutput()->GetRequestedRegion() );
OutputIteratorType ot(outputImage, outputImage->GetRequestedRegion());
// Check the content of the result image
std::cout << "Verification of the output " << std::endl;
ot.GoToBegin();
it.GoToBegin();
while( !ot.IsAtEnd() )
{
const InputPixelType input = it.Get();
const OutputPixelType output = ot.Get();
std::cout << (double) input << " " << (double) output << std::endl;
bool pass = true;
if( lower <= input && input <= upper )
{
if ( itk::Math::NotExactlyEquals(output, inside) )
{
pass = false;
}
}
else if ( itk::Math::NotExactlyEquals(output, outside) )
{
pass = false;
}
if ( !pass )
{
std::cerr << "Error in itkBinaryThresholdImageFilterTest " << std::endl;
std::cerr << " lower = " << (double)lower;
std::cerr << " upper = " << (double)upper;
std::cerr << " inside = " << (double)inside;
std::cerr << " outside = " << (double) outside;
std::cerr << std::endl;
std::cerr << " input = " << (double) input;
std::cerr << " output = " << (double) output;
std::cerr << std::endl;
return EXIT_FAILURE;
}
++ot;
++it;
}
// Deliberately cause an exception by setting lower threshold to be
// greater than the upper threshold
filter->SetUpperThreshold( lower );
filter->SetLowerThreshold( upper );
bool pass = false;
try
{
filter->Update();
}
catch(itk::ExceptionObject &err)
{
pass = true;
std::cout << "Caught an expected exception. " << std::endl;
std::cout << err << std::endl;
}
if ( pass )
{
std::cout << "Test passsed. " << std::endl;
return EXIT_SUCCESS;
}
else
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
|
