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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 "itkGaussianDerivativeOperator.h"
#include "itkStdStreamStateSave.h"
namespace
{
bool TestGaussianOperator( double variance,
double error,
unsigned int width,
unsigned int order )
{
typedef itk::GaussianDerivativeOperator< double, 1 > GaussianOp;
std::cout << "Testing variance: " << variance
<< " error: " << error
<< " width: " << width
<< " order: " << order
<< std::endl;
GaussianOp op;
op.SetVariance( variance );
op.SetMaximumError( error );
op.SetMaximumKernelWidth( width );
op.SetOrder( order );
op.SetNormalizeAcrossScale( false );
op.CreateDirectional();
std::cout.precision(16);
double total = std::accumulate( op.Begin(), op.End(), 0.0 );
std::cout << "total: " << total << std::endl;
if ( order == 0 && std::abs(total - 1.0) > itk::NumericTraits<double>::epsilon()*32 )
{
std::cerr << "FAILURE: expected coefficients to sum to 1.0! Actual: " << total << std::endl;
}
else if ( order != 0 && std::abs(total) > itk::NumericTraits<double>::epsilon()*32 )
{
std::cerr << "FAILURE: expected coefficients to sum to 0.0! Actual: " << total << std::endl;
}
else
{
return true;
}
std::cout << "---operator---" << std::endl;
GaussianOp::Iterator i = op.Begin();
i += op.Size()/2;
for(; i != op.End(); ++i )
{
std::cout << *i << std::endl;
}
std::cout << "---end--" << std::endl;
return false;
}
}
int itkGaussianDerivativeOperatorTest( int argc, char *argv[] )
{
// Save the format stream variables for std::cout
// They will be restored when coutState goes out of scope
// scope.
itk::StdStreamStateSave coutState(std::cout);
if (argc == 5 )
{
double variance = atof(argv[1]);
double error = atof(argv[2]);
unsigned int width = atoi(argv[3]);
unsigned int order = atoi(argv[4]);
TestGaussianOperator( variance, error, width, order );
return EXIT_FAILURE;
}
else if ( argc != 1 )
{
std::cerr << "Usage: " << argv[0] << " [ variance error width order ]" << std::endl;
return EXIT_FAILURE;
}
// Exercise code
typedef itk::GaussianDerivativeOperator< double, 3 > GaussianOp;
GaussianOp op1;
GaussianOp op2;
// print self method
std::cout << op1;
// assignement
op2 = op1;
bool pass = true;
std::cout << "====== DerivativeOperator ======" << std::endl;
pass &= TestGaussianOperator( .2, .001, 30, 0 );
pass &= TestGaussianOperator( .2, .001, 30, 1 );
pass &= TestGaussianOperator( .2, .001, 30, 2 );
pass &= TestGaussianOperator( .2, .001, 30, 3 );
pass &= TestGaussianOperator( .2, .001, 30, 4 );
pass &= TestGaussianOperator( 1, .001, 30, 0 );
pass &= TestGaussianOperator( 1, .001, 30, 1 );
pass &= TestGaussianOperator( 1, .001, 30, 2 );
pass &= TestGaussianOperator( 1, .001, 30, 3 );
pass &= TestGaussianOperator( 1, .001, 30, 4 );
pass &= TestGaussianOperator( 10, .001, 30, 0 );
pass &= TestGaussianOperator( 10, .001, 30, 1 );
pass &= TestGaussianOperator( 10, .0001, 100, 1 );
pass &= TestGaussianOperator( 50, .001, 300, 0 );
if ( pass )
{
return EXIT_SUCCESS;
}
return EXIT_FAILURE;
}
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