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
|
/*=========================================================================
*
* 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 "itkFilterWatcher.h"
#include "itkGaussianImageSource.h"
#include "itkTestingMacros.h"
#include "itkMath.h"
int itkGaussianImageSourceTest(int, char* [] )
{
// This can be changed!
const unsigned int Dimension = 3;
typedef unsigned char PixelType;
// Image typedef
typedef itk::Image< PixelType, Dimension > ImageType;
// Create a gaussian image source
typedef itk::GaussianImageSource< ImageType > GaussianSourceType;
GaussianSourceType::Pointer source = GaussianSourceType::New();
FilterWatcher watcher(source, "source");
ImageType::SpacingValueType spacing[] = { 1.2f, 1.3f, 1.4f };
ImageType::PointValueType origin[] = { 1.0f, 4.0f, 2.0f };
ImageType::SizeValueType size[] = { 130, 150, 120 };
GaussianSourceType::ArrayType mean;
mean[0] = size[0]/2.0f + origin[0];
mean[1] = size[1]/2.0f + origin[1];
mean[2] = size[2]/2.0f + origin[2];
GaussianSourceType::ArrayType sigma;
sigma[0] = 25.0f;
sigma[1] = 35.0f;
sigma[2] = 55.0f;
source->SetSize( size );
source->SetOrigin( origin );
source->SetSpacing( spacing );
source->SetMean( mean );
source->SetSigma( sigma );
// Test the get macros as well (booorrring...)
source->GetSize();
source->GetSpacing();
source->GetOrigin();
source->GetDirection();
source->GetScale();
source->GetNormalized();
source->GetSigma();
source->GetMean();
// Test the get/set parameters
GaussianSourceType::ParametersType params = source->GetParameters();
if ( params.GetSize() != 7 )
{
std::cerr << "Incorrect number of parameters. Expected 7, got "
<< params.GetSize() << "." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[0], sigma[0] ) ||
itk::Math::NotAlmostEquals( params[1], sigma[1] ) ||
itk::Math::NotAlmostEquals( params[2], sigma[2] ) )
{
std::cerr << "Parameters have incorrect sigma value." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[3], mean[0] ) ||
itk::Math::NotAlmostEquals( params[4], mean[1] ) ||
itk::Math::NotAlmostEquals( params[5], mean[2] ) )
{
std::cerr << "Parameters have incorrect mean value." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[6], source->GetScale() ) )
{
std::cerr << "Parameters have incorrect scale value." << std::endl;
return EXIT_FAILURE;
}
params[0] = 12.0;
params[1] = 13.0;
params[2] = 14.0;
params[3] = 22.0;
params[4] = 32.0;
params[5] = 42.0;
params[6] = 55.5;
source->SetParameters( params );
if ( itk::Math::NotAlmostEquals( source->GetSigma()[0], params[0] ) ||
itk::Math::NotAlmostEquals( source->GetSigma()[1], params[1] ) ||
itk::Math::NotAlmostEquals( source->GetSigma()[2], params[2] ) )
{
std::cerr << "Sigma disagrees with parameters array." << std::endl;
std::cerr << "Sigma: " << source->GetSigma() << ", parameters: ["
<< params[0] << ", " << params[1] << ", " << params[2]
<< "]" << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( source->GetMean()[0], params[3] ) ||
itk::Math::NotAlmostEquals( source->GetMean()[1], params[4] ) ||
itk::Math::NotAlmostEquals( source->GetMean()[2], params[5] ) )
{
std::cerr << "Mean disagrees with parameters array." << std::endl;
std::cerr << "Mean: " << source->GetMean() << ", parameters: ["
<< params[3] << ", " << params[4] << ", " << params[5]
<< "]" << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( source->GetScale(), params[6] ) )
{
std::cerr << "Scale disagrees with parameters array." << std::endl;
std::cerr << "Scale: " << source->GetScale() << ", parameters: "
<< params[6] << std::endl;
return EXIT_FAILURE;
}
// Get the output of the source
ImageType::ConstPointer image = source->GetOutput();
// Run the pipeline
TRY_EXPECT_NO_EXCEPTION( source->Update() );
// Exercise the print method
std::cout << image << std::endl;
// Instantiate 1D case.
typedef itk::Image< PixelType, 1 > Image1DType;
typedef itk::GaussianImageSource< Image1DType > GaussianSource1DType;
GaussianSource1DType::Pointer source1D = GaussianSource1DType::New();
return EXIT_SUCCESS;
}
|