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/*=========================================================================
*
* 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 "itkMath.h"
#include "itkGaussianBlurImageFunction.h"
int itkGaussianBlurImageFunctionTest(int, char* [] )
{
const unsigned int Dimension = 2;
typedef float PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::GaussianBlurImageFunction< ImageType > GFunctionType;
// Create and allocate the image
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
size[0] = 50;
size[1] = 50;
start.Fill( 0 );
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate(true); // initialize buffer to zero
// Fill the image with a straight line
for(unsigned int i=0;i<50;i++)
{
ImageType::IndexType ind;
ind[0]=i;
ind[1]=25;
image->SetPixel(ind,1);
ind[1]=26;
image->SetPixel(ind,1);
}
// Test the derivative of Gaussian image function
GFunctionType::Pointer gaussianFunction = GFunctionType::New();
gaussianFunction->SetInputImage( image );
itk::Index<2> index;
index.Fill(25);
// Testing Set/GetVariance()
std::cout << "Testing Set/GetVariance(): ";
gaussianFunction->SetSigma(5.0);
const GFunctionType::SigmaArrayType & sigma = gaussianFunction->GetSigma();
for(unsigned int i=0;i<Dimension;i++)
{
if( sigma[i] != 5.0)
{
std::cerr << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "[PASSED] " << std::endl;
// Testing Set/GetExtent()
std::cout << "Testing Set/GetExtent(): ";
gaussianFunction->SetExtent(5.0);
const GFunctionType::ExtentArrayType & ext = gaussianFunction->GetExtent();
for(unsigned int i=0;i<Dimension;i++)
{
if( ext[i] != 5.0)
{
std::cerr << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "[PASSED] " << std::endl;
// Testing Set/GetMaximumError()
{
std::cout << "Testing Set/GetMaximumError(): ";
GFunctionType::ErrorArrayType setError;
setError.Fill( 0.05 );
gaussianFunction->SetMaximumError( setError );
const GFunctionType::ErrorArrayType & readError =
gaussianFunction->GetMaximumError();
for(unsigned int i=0;i<Dimension;i++)
{
if( std::fabs( setError[i] - readError[i] ) > 1e-6 )
{
std::cerr << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "[PASSED] " << std::endl;
}
// Testing Set/GetMaximumKernelWidth()
{
std::cout << "Testing Set/GetMaximumKernelWidth(): ";
int setKernelWidth = 47;
gaussianFunction->SetMaximumKernelWidth( setKernelWidth );
int readKernelWidth = gaussianFunction->GetMaximumKernelWidth();
if( readKernelWidth != setKernelWidth )
{
std::cerr << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
std::cout << "[PASSED] " << std::endl;
}
// Testing Set/GetUseImageSpacing()
{
std::cout << "Testing Set/GetUseImageSpacing(): ";
bool useImageSpacing = true;
gaussianFunction->SetUseImageSpacing( useImageSpacing );
if( gaussianFunction->GetUseImageSpacing() != useImageSpacing )
{
std::cerr << "Set/GetUseImageSpacing() FAILED !" << std::endl;
return EXIT_FAILURE;
}
useImageSpacing = false;
gaussianFunction->SetUseImageSpacing( useImageSpacing );
if( gaussianFunction->GetUseImageSpacing() != useImageSpacing )
{
std::cerr << "Set/GetUseImageSpacing() FAILED !" << std::endl;
return EXIT_FAILURE;
}
gaussianFunction->UseImageSpacingOn();
if( gaussianFunction->GetUseImageSpacing() != true )
{
std::cerr << "Set/GetUseImageSpacing() FAILED !" << std::endl;
return EXIT_FAILURE;
}
gaussianFunction->UseImageSpacingOff();
if( gaussianFunction->GetUseImageSpacing() != false )
{
std::cerr << "Set/GetUseImageSpacing() FAILED !" << std::endl;
return EXIT_FAILURE;
}
gaussianFunction->UseImageSpacingOn(); // leave it ON for the next test.
std::cout << "[PASSED] " << std::endl;
}
GFunctionType::OutputType blurredvalue_index;
blurredvalue_index = gaussianFunction->EvaluateAtIndex( index );
GFunctionType::PointType pt;
pt[0]=25.0;
pt[1]=25.0;
GFunctionType::OutputType blurredvalue_point;
blurredvalue_point = gaussianFunction->Evaluate( pt );
GFunctionType::ContinuousIndexType continuousIndex;
continuousIndex.Fill(25);
GFunctionType::OutputType blurredvalue_continuousIndex;
blurredvalue_continuousIndex = gaussianFunction->EvaluateAtContinuousIndex( continuousIndex );
std::cout << "Testing Evaluate(), EvaluateAtIndex() and EvaluateIndex: ";
if( (std::fabs(blurredvalue_index-blurredvalue_point)>0.01)
|| itk::Math::NotAlmostEquals(blurredvalue_point, blurredvalue_continuousIndex) )
{
std::cerr << "[FAILED] : "
<< blurredvalue_index << " : "
<< blurredvalue_point << " : "
<< blurredvalue_continuousIndex << std::endl;
return EXIT_FAILURE;
}
std::cout << "[PASSED] " << std::endl;
std::cout << "Testing Evaluate() : ";
if( std::fabs(blurredvalue_point-0.158)> 0.1)
{
std::cerr << "[FAILED]" << std::endl;
return EXIT_FAILURE;
}
std::cout << "[PASSED] " << std::endl;
gaussianFunction->Print( std::cout );
std::cout << "GaussianBlurImageFunctionTest: [DONE] " << std::endl;
return EXIT_SUCCESS;
}
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