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
180
181
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkWeightedMeanCalculatorTest.cxx,v $
Language: C++
Date: $Date: 2005-02-08 03:18:41 $
Version: $Revision: 1.5 $
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 "itkImageToListAdaptor.h"
#include "itkWeightedMeanCalculator.h"
#include "itkRandomImageSource.h"
#include "itkImageRegionIterator.h"
#include "itkVector.h"
#include "itkNumericTraits.h"
#include "itkFunctionBase.h"
enum { MeasurementVectorSize = 2 } ;
typedef float MeasurementType ;
typedef itk::Vector< MeasurementType, MeasurementVectorSize >
MeasurementVectorType ;
class WeightedMeanCalculatorTestWeightFunction :
public itk::FunctionBase< MeasurementVectorType, double >
{
public:
/** Standard class typedefs. */
typedef WeightedMeanCalculatorTestWeightFunction Self;
typedef itk::FunctionBase< MeasurementVectorType, double > Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Standard macros. */
itkTypeMacro(WeightedMeanCalculatorTestWeightFunction, FunctionBase);
itkNewMacro(Self) ;
/** Input type */
typedef MeasurementVectorType InputType;
/** Output type */
typedef double OutputType;
/**Evaluate at the specified input position */
OutputType Evaluate( const InputType& input ) const
{
MeasurementVectorType measurements ;
// there is only one measurement vector that has
// values [12, 12] in the sample and it corresponds to
// the pixel at index [2,2]
measurements.Fill(12.0f) ;
if ( input != measurements )
{
return 1.0 ;
}
else
{
return 0.0 ;
}
}
protected:
WeightedMeanCalculatorTestWeightFunction() {}
~WeightedMeanCalculatorTestWeightFunction() {}
} ; // end of class
int itkWeightedMeanCalculatorTest(int, char* [] )
{
std::cout << "WeightedMeanCalculator Test \n \n";
bool pass = true;
std::string whereFail = "" ;
// Now generate an image
typedef itk::Image< MeasurementVectorType, 2 > ImageType ;
ImageType::Pointer image = ImageType::New() ;
ImageType::RegionType region ;
ImageType::SizeType size ;
ImageType::IndexType index ;
index.Fill(0) ;
size.Fill(5) ;
region.SetIndex(index) ;
region.SetSize(size) ;
image->SetLargestPossibleRegion(region) ;
image->SetBufferedRegion(region) ;
image->Allocate() ;
typedef itk::ImageRegionIterator< ImageType > ImageIterator ;
ImageIterator iter(image, region) ;
unsigned int count = 0 ;
MeasurementVectorType sum ;
sum[0] = 0.0 ;
sum[1] = 0.0 ;
MeasurementVectorType temp ;
// fill the image
while (!iter.IsAtEnd())
{
temp[0] = count ;
temp[1] = count ;
iter.Set(temp) ;
sum[0] += iter.Get()[0] ;
sum[1] += iter.Get()[1] ;
++iter ;
++count ;
}
// creates an ImageToListAdaptor object
typedef itk::Statistics::ImageToListAdaptor< ImageType >
ImageToListAdaptorType ;
ImageToListAdaptorType::Pointer sample = ImageToListAdaptorType::New() ;
sample->SetImage(image) ;
// set the pixel value at index [2, 2] to zero
// to compare the values from the calculator and the
// internal calcuation of this test program
index[0] = 2 ;
index[1] = 2 ;
ImageType::PixelType aPixel = image->GetPixel(index) ;
sum = sum - aPixel ;
MeasurementVectorType mean = sum / static_cast< MeasurementType >(count - 1) ;
typedef itk::Statistics::WeightedMeanCalculator< ImageToListAdaptorType >
CalculatorType;
CalculatorType::WeightArrayType weightArray(sample->Size()) ;
weightArray.Fill(1.0) ;
// array index 12 corresponds to the image index (2,2)
weightArray[12] = 0.0 ;
CalculatorType::Pointer calculator = CalculatorType::New() ;
calculator->SetInputSample(sample.GetPointer()) ;
calculator->SetWeights(&weightArray) ;
calculator->Update() ;
CalculatorType::OutputType* meanOutput = calculator->GetOutput() ;
if ((*meanOutput)[0] != mean[0] ||
(*meanOutput)[1] != mean[1])
{
pass = false ;
}
WeightedMeanCalculatorTestWeightFunction::Pointer weightFunction =
WeightedMeanCalculatorTestWeightFunction::New() ;
calculator->SetWeightFunction(weightFunction.GetPointer()) ;
calculator->Update() ;
meanOutput = calculator->GetOutput() ;
if ((*meanOutput)[0] != mean[0] ||
(*meanOutput)[1] != mean[1])
{
pass = false ;
}
if( !pass )
{
std::cout << "Test failed." << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
|
