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📄 itkeigenanalysis2dimagefiltertest.cxx

📁 DTMK软件开发包,此为开源软件,是一款很好的医学图像开发资源.
💻 CXX
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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkEigenAnalysis2DImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2007-08-10 14:34:01 $
  Version:   $Revision: 1.10 $

  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 <itkImage.h>
#include <itkEigenAnalysis2DImageFilter.h>
#include <itkImageRegionIteratorWithIndex.h>
#include <itkCovariantVector.h>
#include "itkFilterWatcher.h"


// Define the dimension of the images
const unsigned int myDimension = 2;

// Declare type for Eigen Vectors
typedef itk::Vector<double, myDimension> myVectorType;

// Declare the types of the images
typedef itk::Image<double, myDimension>           myImageType;
typedef itk::Image<myVectorType, myDimension>     myVectorImageType;

// Declare the type of the index to access images
typedef itk::Index<myDimension>             myIndexType;

// Declare the type of the size 
typedef itk::Size<myDimension>              mySizeType;

// Declare the type of the Region
typedef itk::ImageRegion<myDimension>        myRegionType;


// Declare Iterator types apropriated for each image 
typedef itk::ImageRegionIteratorWithIndex<myImageType>  myIteratorType;
typedef itk::ImageRegionIteratorWithIndex<myVectorImageType>  myVectorIteratorType;


// Declare the Filter
typedef itk::EigenAnalysis2DImageFilter< myImageType,
                                         myImageType,
                                         myVectorImageType >  myFilterType;







// Function for image initialization
void InitializeImage( myImageType * image, double value   )
{

  myImageType::Pointer inputImage( image );

  // Define their size, and start index
  mySizeType size;
  size[0] = 2;
  size[1] = 2;

  myIndexType start;
  start.Fill(0);

  myRegionType region;
  region.SetIndex( start );
  region.SetSize( size );
  
  inputImage->SetLargestPossibleRegion( region );
  inputImage->SetBufferedRegion( region );
  inputImage->SetRequestedRegion( region );
  inputImage->Allocate();

  myIteratorType it( inputImage, 
                     inputImage->GetRequestedRegion() );
  
  it.GoToBegin();
  while( !it.IsAtEnd() ) 
    {
    it.Set( value );
    ++it;
    }

}



// Function for image printing
void PrintImage( myImageType * image, const char *text )
{

  myImageType::Pointer imagePtr( image );

  // Create an iterator for going through the image
  myIteratorType it( imagePtr, 
                     imagePtr->GetRequestedRegion() );

  it.GoToBegin();
  
  //  Print the content of the image
  std::cout << text << std::endl;
  while( !it.IsAtEnd() ) 
  {
    std::cout << it.Get() << std::endl;
    ++it;
  }

}


// Function for image printing
void PrintImage( myVectorImageType * image, const char *text )
{

  myVectorImageType::Pointer imagePtr( image );

  // Create an iterator for going through the image
  myVectorIteratorType it( imagePtr, 
                           imagePtr->GetRequestedRegion() );

  it.GoToBegin();
  
  //  Print the content of the image
  std::cout << text << std::endl;
  while( !it.IsAtEnd() ) 
  {
    std::cout << it.Get() << std::endl;
    ++it;
  }

}





int itkEigenAnalysis2DImageFilterTest(int, char* [] ) 
{
  // Create the images
  myImageType::Pointer inputImageXX  = myImageType::New();
  myImageType::Pointer inputImageXY  = myImageType::New();
  myImageType::Pointer inputImageYY  = myImageType::New();

  const double myPI = 4.0 * atan(1.0);

  InitializeImage( inputImageXX, cos( myPI / 6.0 ) );
  InitializeImage( inputImageXY, sin( myPI / 6.0 ) );
  InitializeImage( inputImageYY, cos( myPI / 6.0 ) );


  // Create a  Filter                                
  myFilterType::Pointer filter = myFilterType::New();
  FilterWatcher watcher(filter);

  // Connect the input images
  filter->SetInput1( inputImageXX ); 
  filter->SetInput2( inputImageXY ); 
  filter->SetInput3( inputImageYY ); 

  
  // Execute the filter
  filter->Update();

  // Get 
  myImageType::Pointer maxEigenValue = filter->GetMaxEigenValue();
  myImageType::Pointer minEigenValue = filter->GetMinEigenValue();
  
  myVectorImageType::Pointer maxEigenVector = filter->GetMaxEigenVector();

  PrintImage( maxEigenValue, "Max Eigen Value");
  PrintImage( minEigenValue, "Min Eigen Value");
  PrintImage( maxEigenVector, "Max Eigen Vector");

  
  // All objects should be automatically destroyed at this point

  return EXIT_SUCCESS;

}




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