-
Notifications
You must be signed in to change notification settings - Fork 2
/
ImageCompare.cxx
executable file
·266 lines (240 loc) · 7.97 KB
/
ImageCompare.cxx
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
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
#include "itkWin32Header.h"
#include <iostream>
#include <fstream>
#include "itkNumericTraits.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkExtractImageFilter.h"
#include "itkDifferenceImageFilter.h"
using namespace std;
#define ITK_TEST_DIMENSION_MAX 6
int RegressionTestImage (const char *, const char *, int, bool);
int main(int argc, char **argv)
{
if(argc < 3)
{
cerr << "Usage:" << endl;
cerr << "testImage, baselineImage1, [baselineImage2, baselineImage3, ...]" << endl;
cerr << "Note that if you supply more than one baselineImage, this test will pass if any" << endl;
cerr << "of them match the testImage" << endl;
return -1;
}
int bestBaselineStatus = 2001;
int bestBaseline = 2;
try
{
if(argc == 3)
{
bestBaselineStatus = RegressionTestImage(argv[1], argv[2], 0, false);
}
else
{
int currentStatus = 2001;
for(int i=2;i<argc;i++)
{
currentStatus = RegressionTestImage(argv[1], argv[i], 0, false);
if(currentStatus < bestBaselineStatus)
{
bestBaselineStatus = currentStatus;
bestBaseline = i;
}
if(bestBaselineStatus == 0)
{
break;
}
}
}
// generate images of our closest match
if(bestBaselineStatus == 0)
{
RegressionTestImage(argv[1], argv[bestBaseline], 1, false);
}
else
{
RegressionTestImage(argv[1], argv[bestBaseline], 1, true);
}
}
catch(const itk::ExceptionObject& e)
{
std::cerr << "ITK test driver caught an ITK exception:\n";
std::cerr << e.GetFile() << ":" << e.GetLine() << ":\n"
<< e.GetDescription() << "\n";
bestBaselineStatus = -1;
}
catch(const std::exception& e)
{
std::cerr << "ITK test driver caught an exception:\n";
std::cerr << e.what() << "\n";
bestBaselineStatus = -1;
}
catch(...)
{
std::cerr << "ITK test driver caught an unknown exception!!!\n";
bestBaselineStatus = -1;
}
cout << bestBaselineStatus << endl;
return bestBaselineStatus;
}
// Regression Testing Code
int RegressionTestImage (const char *testImageFilename, const char *baselineImageFilename,
int reportErrors, bool differences)
{
// Use the factory mechanism to read the test and baseline files and convert them to double
typedef itk::Image<double,ITK_TEST_DIMENSION_MAX> ImageType;
typedef itk::Image<unsigned char,ITK_TEST_DIMENSION_MAX> OutputType;
typedef itk::Image<unsigned char,2> DiffOutputType;
typedef itk::ImageFileReader<ImageType> ReaderType;
// Read the baseline file
ReaderType::Pointer baselineReader = ReaderType::New();
baselineReader->SetFileName(baselineImageFilename);
try
{
baselineReader->UpdateLargestPossibleRegion();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected while reading " << baselineImageFilename << " : " << e.GetDescription();
return 1000;
}
// Read the file generated by the test
ReaderType::Pointer testReader = ReaderType::New();
testReader->SetFileName(testImageFilename);
try
{
testReader->UpdateLargestPossibleRegion();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected while reading " << testImageFilename << " : " << e.GetDescription() << std::endl;
return 1000;
}
// The sizes of the baseline and test image must match
ImageType::SizeType baselineSize;
baselineSize = baselineReader->GetOutput()->GetLargestPossibleRegion().GetSize();
ImageType::SizeType testSize;
testSize = testReader->GetOutput()->GetLargestPossibleRegion().GetSize();
if (baselineSize != testSize)
{
std::cerr << "The size of the Baseline image and Test image do not match!" << std::endl;
std::cerr << "Baseline image: " << baselineImageFilename
<< " has size " << baselineSize << std::endl;
std::cerr << "Test image: " << testImageFilename
<< " has size " << testSize << std::endl;
return 1;
}
// Now compare the two images
typedef itk::DifferenceImageFilter<ImageType,ImageType> DiffType;
DiffType::Pointer diff = DiffType::New();
diff->SetValidInput(baselineReader->GetOutput());
diff->SetTestInput(testReader->GetOutput());
diff->SetDifferenceThreshold(2.0);
diff->UpdateLargestPossibleRegion();
double status = diff->GetTotalDifference();
if (reportErrors)
{
typedef itk::RescaleIntensityImageFilter<ImageType,OutputType> RescaleType;
typedef itk::ExtractImageFilter<OutputType,DiffOutputType> ExtractType;
typedef itk::ImageFileWriter<DiffOutputType> WriterType;
typedef itk::ImageRegion<ITK_TEST_DIMENSION_MAX> RegionType;
OutputType::IndexType index; index.Fill(0);
OutputType::SizeType size; size.Fill(0);
RescaleType::Pointer rescale = RescaleType::New();
rescale->SetOutputMinimum(itk::NumericTraits<unsigned char>::NonpositiveMin());
rescale->SetOutputMaximum(itk::NumericTraits<unsigned char>::max());
rescale->SetInput(diff->GetOutput());
rescale->UpdateLargestPossibleRegion();
RegionType region;
region.SetIndex(index);
size = rescale->GetOutput()->GetLargestPossibleRegion().GetSize();
for (unsigned int i = 2; i < ITK_TEST_DIMENSION_MAX; i++)
{
size[i] = 0;
}
region.SetSize(size);
ExtractType::Pointer extract = ExtractType::New();
extract->SetInput(rescale->GetOutput());
extract->SetExtractionRegion(region);
WriterType::Pointer writer = WriterType::New();
writer->SetInput(extract->GetOutput());
if(differences)
{
// if there are discrepencies, create an diff image
std::cout << "<DartMeasurement name=\"ImageError\" type=\"numeric/double\">";
std::cout << status;
std::cout << "</DartMeasurement>" << std::endl;
std::ostringstream diffName;
diffName << testImageFilename << ".diff.png";
try
{
rescale->SetInput(diff->GetOutput());
rescale->Update();
}
catch (...)
{
std::cerr << "Error during rescale of " << diffName.str() << std::endl;
}
writer->SetFileName(diffName.str().c_str());
try
{
writer->Update();
}
catch (...)
{
std::cerr << "Error during write of " << diffName.str() << std::endl;
}
std::cout << "<DartMeasurementFile name=\"DifferenceImage\" type=\"image/png\">";
std::cout << diffName.str();
std::cout << "</DartMeasurementFile>" << std::endl;
}
std::ostringstream baseName;
baseName << testImageFilename << ".base.png";
try
{
rescale->SetInput(baselineReader->GetOutput());
rescale->Update();
}
catch (...)
{
std::cerr << "Error during rescale of " << baseName.str() << std::endl;
}
try
{
writer->SetFileName(baseName.str().c_str());
writer->Update();
}
catch (...)
{
std::cerr << "Error during write of " << baseName.str() << std::endl;
}
std::cout << "<DartMeasurementFile name=\"BaselineImage\" type=\"image/png\">";
std::cout << baseName.str();
std::cout << "</DartMeasurementFile>" << std::endl;
std::ostringstream testName;
testName << testImageFilename << ".test.png";
try
{
rescale->SetInput(testReader->GetOutput());
rescale->Update();
}
catch (...)
{
std::cerr << "Error during rescale of " << testName.str()
<< std::endl;
}
try
{
writer->SetFileName(testName.str().c_str());
writer->Update();
}
catch (...)
{
std::cerr << "Error during write of " << testName.str() << std::endl;
}
std::cout << "<DartMeasurementFile name=\"TestImage\" type=\"image/png\">";
std::cout << testName.str();
std::cout << "</DartMeasurementFile>" << std::endl;
}
return (status != 0) ? 1 : 0;
}