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
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 <iostream>
#include "itkRegionOfInterestImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkRegionOfInterestImageFilterTest(int, char *[])
{
constexpr unsigned int Dimension = 3;
using PixelType = itk::Index<Dimension>;
using ImageType = itk::Image<PixelType, Dimension>;
using FilterType = itk::RegionOfInterestImageFilter<ImageType, ImageType>;
using RegionType = ImageType::RegionType;
using SizeType = ImageType::SizeType;
using IndexType = ImageType::IndexType;
using DirectionType = ImageType::DirectionType;
using IteratorType = itk::ImageRegionIterator<ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, RegionOfInterestImageFilter, ImageToImageFilter);
auto image = ImageType::New();
IndexType start;
start.Fill(0);
SizeType size;
size[0] = 40;
size[1] = 40;
size[2] = 40;
RegionType region;
region.SetIndex(start);
region.SetSize(size);
image->SetRegions(region);
image->Allocate();
DirectionType directions;
directions.SetIdentity();
directions[0][0] = 0.0;
directions[1][0] = 1.0;
directions[2][0] = 0.0;
directions[0][1] = 1.0;
directions[1][1] = 0.0;
directions[2][1] = 0.0;
image->SetDirection(directions);
// Fill the image pixels with their own index.
IteratorType intr(image, region);
intr.GoToBegin();
while (!intr.IsAtEnd())
{
intr.Set(intr.GetIndex());
++intr;
}
filter->SetInput(image);
SizeType roiSize;
roiSize[0] = 20;
roiSize[1] = 20;
roiSize[2] = 20;
IndexType roiStart;
roiStart[0] = 9;
roiStart[1] = 9;
roiStart[2] = 9;
RegionType regionOfInterest;
regionOfInterest.SetIndex(roiStart);
regionOfInterest.SetSize(roiSize);
itk::SimpleFilterWatcher watcher(filter);
filter->SetRegionOfInterest(regionOfInterest);
ITK_TEST_SET_GET_VALUE(regionOfInterest, filter->GetRegionOfInterest());
filter->Update();
IteratorType ot(filter->GetOutput(), filter->GetOutput()->GetLargestPossibleRegion());
IteratorType it(image, regionOfInterest);
it.GoToBegin();
ot.GoToBegin();
bool passed = true;
while (!it.IsAtEnd())
{
IndexType inIndex = it.Get();
IndexType outIndex = ot.Get();
if (inIndex[0] != outIndex[0] || inIndex[1] != outIndex[1] || inIndex[2] != outIndex[2])
{
std::cerr << "Test failed at pixel " << inIndex << std::endl;
std::cerr << "pixel value is " << outIndex << std::endl;
passed = false;
break;
}
++it;
++ot;
}
if (!passed)
{
return EXIT_FAILURE;
}
std::cout << "Test PASSED !" << std::endl;
return EXIT_SUCCESS;
}
|
