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
|
/*=========================================================================
*
* 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 "itkGradientRecursiveGaussianImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkMath.h"
int itkGradientRecursiveGaussianFilterTest4(int argc, char* argv[] )
{
if ( argc != 3 )
{
std::cerr << "Missing Parameters!" << std::endl;
std::cerr << " inputImageFile outputImageFile" << std::endl;
return EXIT_FAILURE;
}
std::string inFileName = argv[1];
std::string outFileName = argv[2];
// Define the dimension of the images
const unsigned int myDimension = 2;
// Declare the types of the images
typedef float FloatType;
typedef double DoubleType;
typedef itk::Image< FloatType, myDimension > myImageType;
typedef itk::VectorImage< FloatType, myDimension > myGradientImageType;
// Create the image
myImageType::Pointer inputImage = myImageType::New();
typedef itk::ImageFileReader< myImageType > myReaderType;
myReaderType::Pointer reader = myReaderType::New();
reader->SetFileName( inFileName );
// Declare the type for the
typedef itk::GradientRecursiveGaussianImageFilter< myImageType, myGradientImageType > myFilterType;
// Create a Filter
myFilterType::Pointer filter = myFilterType::New();
// Connect the input images
filter->SetInput( reader->GetOutput() );
// Select the value of Sigma
filter->SetSigma( 2.5 );
typedef itk::ImageFileWriter< myGradientImageType > myWriterType;
myWriterType::Pointer writer = myWriterType::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( outFileName );
writer->Update();
// Test also that setting and getting sigma arrays is working
itk::FixedArray< DoubleType, 2 > sigmas;
if (filter->GetSigma() != 2.5)
{
std::cerr << "Exception detected: wrong sigma after SetSigma" << std::endl;
std::cerr <<
"Sigma is: " << filter->GetSigma() << ", expected 2.5"<< std::endl;
return EXIT_FAILURE;
}
sigmas = filter->GetSigmaArray();
if (sigmas[0] != 2.5 || sigmas[1] != 2.5)
{
std::cerr << "Exception detected: wrong sigma array after SetSigma" << std::endl;
std::cerr << "Sigma Array: " << sigmas[0] << ", " << sigmas[1] << std::endl;
std::cerr << "Expected: 2.5, 2.5" << std::endl;
return EXIT_FAILURE;
}
// Set new values
sigmas[0] = 1.8;
sigmas[1] = 1.8;
filter->SetSigmaArray(sigmas);
sigmas = filter->GetSigmaArray();
if (itk::Math::NotExactlyEquals(sigmas[0], 1.8) || itk::Math::NotExactlyEquals(sigmas[1], 1.8) || itk::Math::NotExactlyEquals(filter->GetSigma() , 1.8))
{
std::cerr << "Exception detected: wrong sigmas after SetSigmaArray" << std::endl;
std::cerr << "Sigma Array: " << sigmas[0] << ", " << sigmas[1] << std::endl;
std::cerr << "Sigma: " << filter->GetSigma() << std::endl;
return EXIT_FAILURE;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
|
