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
|
/*=========================================================================
*
* 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 "itkAffineTransform.h"
#include "itkResampleImageFilter.h"
#include "itkStreamingImageFilter.h"
#include "itkTestingMacros.h"
#include "itkMath.h"
/* itkResampleImageFilter output compared to streamed output
*/
int
itkResampleImageTest7(int, char *[])
{
constexpr unsigned int VDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, VDimension>;
using ImageIndexType = ImageType::IndexType;
using ImagePointerType = ImageType::Pointer;
using ImageRegionType = ImageType::RegionType;
using ImageSizeType = ImageType::SizeType;
using CoordRepType = double;
using AffineTransformType = itk::AffineTransform<CoordRepType, VDimension>;
using InterpolatorType = itk::LinearInterpolateImageFunction<ImageType, CoordRepType>;
// Create and configure an image
ImagePointerType image = ImageType::New();
ImageIndexType index = { { 0, 0 } };
ImageSizeType size = { { 64, 64 } };
ImageRegionType region{ index, size };
image->SetRegions(region);
image->Allocate();
// Fill image with a ramp
itk::ImageRegionIteratorWithIndex<ImageType> iter(image, region);
PixelType value;
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
index = iter.GetIndex();
value = index[0] + index[1];
iter.Set(value);
}
// Create an affine transformation
auto aff = AffineTransformType::New();
aff->Scale(0.9);
// Create a linear interpolation image function
auto interp = InterpolatorType::New();
interp->SetInputImage(image);
// Create and configure a resampling filter
itk::ResampleImageFilter<ImageType, ImageType>::Pointer resample =
itk::ResampleImageFilter<ImageType, ImageType>::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(resample, ResampleImageFilter, ImageToImageFilter);
resample->SetInterpolator(interp);
resample->SetInput(image);
ITK_TEST_SET_GET_VALUE(image.GetPointer(), resample->GetInput());
resample->SetSize(size);
ITK_TEST_SET_GET_VALUE(size, resample->GetSize());
resample->SetTransform(aff);
ITK_TEST_SET_GET_VALUE(aff, resample->GetTransform());
resample->SetInterpolator(interp);
ITK_TEST_SET_GET_VALUE(interp, resample->GetInterpolator());
index.Fill(0);
resample->SetOutputStartIndex(index);
ITK_TEST_SET_GET_VALUE(index, resample->GetOutputStartIndex());
ImageType::PointType origin;
origin.Fill(0.0);
resample->SetOutputOrigin(origin);
ITK_TEST_SET_GET_VALUE(origin, resample->GetOutputOrigin());
ImageType::SpacingType spacing;
spacing.Fill(1.0);
resample->SetOutputSpacing(spacing);
ITK_TEST_SET_GET_VALUE(spacing, resample->GetOutputSpacing());
using StreamerType = itk::StreamingImageFilter<ImageType, ImageType>;
auto streamer = StreamerType::New();
std::cout << "Test with normal AffineTransform." << std::endl;
streamer->SetInput(resample->GetOutput());
unsigned char numStreamDiv;
// Run the resampling filter without streaming, i.e. 1 StreamDivisions
numStreamDiv = 1; // do not split, i.e. do not stream
streamer->SetNumberOfStreamDivisions(numStreamDiv);
ITK_TRY_EXPECT_NO_EXCEPTION(streamer->UpdateLargestPossibleRegion());
ImagePointerType outputNoSDI = streamer->GetOutput(); // save output for later comparison
outputNoSDI->DisconnectPipeline(); // disconnect to create new output
// Run the resampling filter with streaming
image->Modified();
numStreamDiv = 8; // split into numStream pieces for streaming.
streamer->SetNumberOfStreamDivisions(numStreamDiv);
ITK_TRY_EXPECT_NO_EXCEPTION(streamer->UpdateLargestPossibleRegion());
// Verify that we only requested a smaller chunk when streaming
const ImageRegionType finalRequestedRegion(image->GetRequestedRegion());
ITK_TEST_SET_GET_VALUE(0, finalRequestedRegion.GetIndex(0));
ITK_TEST_SET_GET_VALUE(48, finalRequestedRegion.GetIndex(1));
ITK_TEST_SET_GET_VALUE(60, finalRequestedRegion.GetSize(0));
ITK_TEST_SET_GET_VALUE(12, finalRequestedRegion.GetSize(1));
ImagePointerType outputSDI = streamer->GetOutput();
outputSDI->DisconnectPipeline();
itk::ImageRegionIterator<ImageType> itNoSDI(outputNoSDI, outputNoSDI->GetLargestPossibleRegion()),
itSDI(outputSDI, outputSDI->GetLargestPossibleRegion());
for (itNoSDI.GoToBegin(), itSDI.GoToBegin(); !itNoSDI.IsAtEnd() && !itSDI.IsAtEnd(); ++itNoSDI, ++itSDI)
{
if (itk::Math::NotAlmostEquals(itNoSDI.Value(), itSDI.Value()))
{
std::cout << "Pixels differ " << itNoSDI.Value() << ' ' << itSDI.Value() << std::endl;
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in pixel value at index [" << itNoSDI.GetIndex() << ']' << std::endl;
std::cerr << "Expected difference " << itNoSDI.Get() - itSDI.Get() << std::endl;
std::cerr << " differs from 0 ";
return EXIT_FAILURE;
}
}
if (itNoSDI.IsAtEnd() != itSDI.IsAtEnd())
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Iterators don't agree on end of image" << std::endl;
std::cerr << "at index [" << itNoSDI.GetIndex() << ']' << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
|
