ITK  5.0.0
Insight Segmentation and Registration Toolkit
SphinxExamples/src/Nonunit/Review/SegmentBloodVesselsWithMultiScaleHessianBasedMeasure/Code.cxx
/*=========================================================================
*
* 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.
*
*=========================================================================*/
int main( int argc, char* argv[] )
{
if( argc < 3 )
{
std::cerr << "Usage: "<< std::endl;
std::cerr << argv[0];
std::cerr << " <InputFileName> <OutputFileName>";
std::cerr << " [SigmaMinimum] [SigmaMaximum]";
std::cerr << " [NumberOfSigmaSteps]";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const char * inputFileName = argv[1];
const char * outputFileName = argv[2];
double sigmaMinimum = 1.0;
if( argc > 3 )
{
sigmaMinimum = atof( argv[3] );
}
double sigmaMaximum = 10.0;
if( argc > 4 )
{
sigmaMaximum = atof( argv[4] );
}
unsigned int numberOfSigmaSteps = 10;
if( argc > 5 )
{
numberOfSigmaSteps = atoi( argv[5] );
}
constexpr unsigned int Dimension = 2;
using PixelType = float;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( inputFileName );
ObjectnessFilterType::Pointer objectnessFilter = ObjectnessFilterType::New();
objectnessFilter->SetBrightObject( false );
objectnessFilter->SetScaleObjectnessMeasure( false );
objectnessFilter->SetAlpha( 0.5 );
objectnessFilter->SetBeta( 1.0 );
objectnessFilter->SetGamma( 5.0 );
MultiScaleEnhancementFilterType::Pointer multiScaleEnhancementFilter =
MultiScaleEnhancementFilterType::New();
multiScaleEnhancementFilter->SetInput( reader->GetOutput() );
multiScaleEnhancementFilter->SetHessianToMeasureFilter( objectnessFilter );
multiScaleEnhancementFilter->SetSigmaStepMethodToLogarithmic();
multiScaleEnhancementFilter->SetSigmaMinimum( sigmaMinimum );
multiScaleEnhancementFilter->SetSigmaMaximum( sigmaMaximum );
multiScaleEnhancementFilter->SetNumberOfSigmaSteps( numberOfSigmaSteps );
using OutputImageType = itk::Image< unsigned char, Dimension >;
RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();
rescaleFilter->SetInput( multiScaleEnhancementFilter->GetOutput() );
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( outputFileName );
writer->SetInput( rescaleFilter->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & error )
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}