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
|
/*=========================================================================
*
* 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 "itkMinimumMaximumImageFilter.h"
#include "itkFilterWatcher.h"
#include "itkMacro.h"
#include "itkMath.h"
int
itkMinimumMaximumImageFilterTest(int , char *[] )
{
typedef itk::Size<3> SizeType;
typedef itk::Image<float, 3> ImageType;
typedef itk::MinimumMaximumImageFilter<ImageType> MinMaxFilterType;
/* Define the image size and physical coordinates */
SizeType size = {{20, 20, 20}};
double origin [3] = { 0.0, 0.0, 0.0};
double spacing[3] = { 1, 1 , 1};
int flag = 0; /* Did this test program work? */
std::cout << "Testing Minimum and Maximum Image Calulator:\n";
// Allocate a simple test image
ImageType::Pointer image = ImageType::New();
ImageType::RegionType region;
region.SetSize(size);
image->SetLargestPossibleRegion(region);
image->SetRequestedRegion(region);
image->SetBufferedRegion(region);
image->Allocate();
// Set origin and spacing of physical coordinates
image->SetOrigin(origin);
image->SetSpacing(spacing);
float minimum = -52;
float maximum = -10;
// Initialize the image contents with the minimum value
itk::Index<3> index;
for (int slice = 0; slice < 20; slice++)
{
index[2] = slice;
for (int row = 0; row <20; row++)
{
index[1] = row;
for (int col = 0; col < 20; col++)
{
index[0] = col;
image->SetPixel(index, minimum);
}
}
}
// Set voxel (10,10,10) to maximum value
index[0] = 10;
index[1] = 10;
index[2] = 10;
image->SetPixel(index, maximum);
// Create and initialize the filter
MinMaxFilterType::Pointer filter = MinMaxFilterType::New();
FilterWatcher watcher(filter);
filter->SetInput(image);
filter->Update();
// Return minimum of intensity
float minimumResult = filter->GetMinimum();
std::cout << "The Minimum intensity value is : " << minimumResult << std::endl;
if(itk::Math::NotExactlyEquals(minimumResult, minimum))
{
std::cout << "Minimum Value is wrong : " << minimumResult;
std::cout << " != " << minimum << std::endl;
flag = 1;
}
// Return maximum of intensity
float maximumResult = filter->GetMaximum();
std::cout << "The Maximum intensity value is : " << maximumResult << std::endl;
if(itk::Math::NotExactlyEquals(maximumResult, maximum))
{
std::cout << "Maximum Value is wrong : " << maximumResult;
std::cout << " != " << maximum << std::endl;
flag = 2;
}
// Return results of test
if (flag != 0)
{
std::cout << "*** Some tests failed" << std::endl;
return flag;
}
else
{
std::cout << "All tests successfully passed" << std::endl;
return EXIT_SUCCESS;
}
}
|
