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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkActiveShapeModelCalculatorTest.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
//#if defined(_MSC_VER)
//#pragma warning ( disable : 4786 )
//#endif
#include "itkImageFileReader.h"
#include "itkActiveShapeModelCalculator.h"
#include "itkActiveShapeModelGradientSearchMethod.h"
int itkActiveShapeModelCalculatorTest( int argc, char * argv[] )
{
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " Input3DImageBinaryFile Input2DImageFile" << std::endl;
return -1;
}
const unsigned int Dimension = 3;
const float m_Tolerance = 2.0;
typedef float PixelType;
typedef vnl_vector<double> VectorOfDoubleType;
typedef vnl_matrix<double> MatrixOfDoubleType;
typedef itk::Image< PixelType, Dimension > Image3DType;
typedef itk::Image< unsigned char, 2 > Image2DType;
typedef itk::ImageFileReader< Image3DType > ReaderType;
typedef itk::ActiveShapeModelCalculator< Image3DType > ActiveShapeModelCalculatorType;
typedef itk::ActiveShapeModelGradientSearchMethod< Image2DType> ImageSearchType;
ActiveShapeModelCalculatorType::Pointer
applyActiveShapeModelCalculator = ActiveShapeModelCalculatorType::New();
ImageSearchType::Pointer
ImageSearch = ImageSearchType::New();
ReaderType::Pointer reader = ReaderType::New();
Image3DType::ConstPointer inputImage;
const char * inputFilename = argv[1];
reader->SetFileName( inputFilename );
inputImage = reader->GetOutput();
reader->Update( );
applyActiveShapeModelCalculator->SetImage( inputImage );
//----------------------------------------------------------------------
//Set the parameters for ActiveShapeModelCalculator
//----------------------------------------------------------------------
applyActiveShapeModelCalculator->SetTolerance( m_Tolerance );
applyActiveShapeModelCalculator->GenerateData();
//Test the printself function to increase coverage
applyActiveShapeModelCalculator->Print(std::cout);
//Exercise TypeMacro in superclass
typedef ActiveShapeModelCalculatorType::Superclass GenericEstimatorType;
std::cout << applyActiveShapeModelCalculator->GenericEstimatorType::GetNameOfClass() << std::endl;
//Print out the number of training images and the number of principal
//components
std::cout << "The number of training images are: " <<
applyActiveShapeModelCalculator->GetNumberOfTrainingImages() << std::endl;
std::cout << "The mean shape: " <<
applyActiveShapeModelCalculator->GetMeanShape() << std::endl;
vnl_vector<double> eigenValues = applyActiveShapeModelCalculator->GetEigenvalues();
vnl_matrix<double> eigenVectors = applyActiveShapeModelCalculator->GetEigenvector();
//Print the eigen values and eigen vectors
std::cout << "The " << eigenValues.size() << " first values of the eigen vectors are:" << std::endl;
for(unsigned int i = 0; i < eigenVectors.rows(); i++)
{
std::cout<< eigenVectors.get_row(i)<<" ";
}
std::cout <<""<<std::endl;
std::cout << "The " << eigenValues.size() << " largest eigen values are:" << std::endl;
std::cout << eigenValues << std::endl;
const unsigned int m_LenghtOfProfile = 3;
const unsigned int m_NumberOfIteration = 2;
typedef itk::ImageFileReader< Image2DType > Reader2DType;
Reader2DType::Pointer reader1 = Reader2DType::New();
const char * input2DFilename = argv[2];
reader1->SetFileName( input2DFilename );
reader1->Update( );
ImageSearch->SetImage( reader1->GetOutput() );
//----------------------------------------------------------------------
//Set the parameters ActiveShapeModelSearchingImageFilter
//----------------------------------------------------------------------
ImageSearch->SetLenghtOfProfile( m_LenghtOfProfile );
ImageSearch->SetNumberOfIteration( m_NumberOfIteration );
ImageSearch->SetMeanShape( applyActiveShapeModelCalculator->GetMeanShape() + 0.5);
ImageSearch->SetEigenValues( applyActiveShapeModelCalculator->GetEigenvalues() );
ImageSearch->SetEigenVectors( applyActiveShapeModelCalculator->GetEigenvector() );
ImageSearch->GenerateData();
//Test the printself function to increase coverage
ImageSearch->Print(std::cout);
//Exercise TypeMacro in superclass
typedef ImageSearchType::Superclass GenericEstimator2Type;
std::cout << ImageSearch->GenericEstimator2Type::GetNameOfClass() << std::endl;
std::cout << "The new shape: " <<
ImageSearch->GetNewShape() << std::endl;
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
return 0;
}
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