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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkHessianRecursiveGaussianFilterTest.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 <itkImage.h>
#include <itkHessianRecursiveGaussianImageFilter.h>
#include <itkImageRegionIteratorWithIndex.h>
int itkHessianRecursiveGaussianFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int myDimension = 3;
// Declare the types of the images
typedef itk::Image<float, myDimension> myImageType;
// 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;
// Create the image
myImageType::Pointer inputImage = myImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = 8;
size[1] = 8;
size[2] = 8;
myIndexType start;
start.Fill(0);
myRegionType region;
region.SetIndex( start );
region.SetSize( size );
// Initialize Image A
inputImage->SetLargestPossibleRegion( region );
inputImage->SetBufferedRegion( region );
inputImage->SetRequestedRegion( region );
inputImage->Allocate();
// Declare Iterator type for the input image
typedef itk::ImageRegionIteratorWithIndex<myImageType> myIteratorType;
// Create one iterator for the Input Image A (this is a light object)
myIteratorType it( inputImage, inputImage->GetRequestedRegion() );
// Initialize the content of Image A
while( !it.IsAtEnd() )
{
it.Set( 0.0 );
++it;
}
size[0] = 4;
size[1] = 4;
size[2] = 4;
start[0] = 2;
start[1] = 2;
start[2] = 2;
// Create one iterator for an internal region
region.SetSize( size );
region.SetIndex( start );
myIteratorType itb( inputImage, region );
// Initialize the content the internal region
while( !itb.IsAtEnd() )
{
itb.Set( 100.0 );
++itb;
}
// Declare the type for the
typedef itk::HessianRecursiveGaussianImageFilter<
myImageType > myFilterType;
typedef myFilterType::OutputImageType myHessianImageType;
// Create a Filter
myFilterType::Pointer filter = myFilterType::New();
// Connect the input images
filter->SetInput( inputImage );
// Select the value of Sigma
filter->SetSigma( 2.5 );
// Execute the filter
filter->Update();
// Get the Smart Pointer to the Filter Output
// It is important to do it AFTER the filter is Updated
// Because the object connected to the output may be changed
// by another during GenerateData() call
myHessianImageType::Pointer outputImage = filter->GetOutput();
// Declare Iterator type for the output image
typedef itk::ImageRegionIteratorWithIndex<
myHessianImageType> myOutputIteratorType;
// Create an iterator for going through the output image
myOutputIteratorType itg( outputImage,
outputImage->GetRequestedRegion() );
// Print the content of the result image
std::cout << " Result " << std::endl;
itg.GoToBegin();
while( !itg.IsAtEnd() )
{
std::cout << itg.Get();
++itg;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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