itkdifferenceofgaussiansgradienttest.cxx

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkDifferenceOfGaussiansGradientTest.cxx,v $
  Language:  C++
  Date:      $Date: 2003-09-10 14:30:06 $
  Version:   $Revision: 1.13 $

  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 <stdio.h>

// Native ITK stuff
#include "itkSize.h"
#include "itkIndex.h"
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkPoint.h"
#include "itkFilterWatcher.h"

// Spatial function stuff
#include "itkSphereSpatialFunction.h"
#include "itkFloodFilledSpatialFunctionConditionalIterator.h"

// DOG gradient related stuff
#include "itkBinomialBlurImageFilter.h"
#include "itkDifferenceOfGaussiansGradientImageFilter.h"
#include "itkGradientToMagnitudeImageFilter.h"

/*
This file tests:
  itkDifferenceOfGaussiansGradientImageFilter
  itkGradientToMagnitudeImageFilter
*/

int itkDifferenceOfGaussiansGradientTest(int, char* [] )
{
  const unsigned int dim = 3;

  //-----------------Create a new input image--------------------
  // Image size and spacing parameters
  unsigned long sourceImageSize[]  = { 20,20,20 };
  double sourceImageSpacing[] = { 1.0,1.0,1.0 };
  double sourceImageOrigin[] = { 0,0,0 };

  // Image typedef
  typedef itk::Image< unsigned char, dim > TImageType;

  // Creates the sourceImage (but doesn't set the size or allocate memory)
  TImageType::Pointer sourceImage = TImageType::New();
  sourceImage->SetOrigin(sourceImageOrigin);
  sourceImage->SetSpacing(sourceImageSpacing);

  printf("New sourceImage created\n");

  //-----The following block allocates the sourceImage-----

  // Create a size object native to the sourceImage type
  TImageType::SizeType sourceImageSizeObject;
  // Set the size object to the array defined earlier
  sourceImageSizeObject.SetSize( sourceImageSize );
  // Create a region object native to the sourceImage type
  TImageType::RegionType largestPossibleRegion;
  // Resize the region
  largestPossibleRegion.SetSize( sourceImageSizeObject );
  // Set the largest legal region size (i.e. the size of the whole sourceImage) to what we just defined
  sourceImage->SetLargestPossibleRegion( largestPossibleRegion );
  // Set the buffered region
  sourceImage->SetBufferedRegion( largestPossibleRegion );
  // Set the requested region
  sourceImage->SetRequestedRegion( largestPossibleRegion );
  // Now allocate memory for the sourceImage
  sourceImage->Allocate();

  printf("New sourceImage allocated\n");

  // Initialize the image to hold all 0's
  itk::ImageRegionIterator<TImageType> it = 
    itk::ImageRegionIterator<TImageType>(sourceImage, largestPossibleRegion);

  for(it.GoToBegin(); !it.IsAtEnd(); ++it)
    {
    it.Set(0);
    }

  //---------Create and initialize a spatial function-----------

  typedef itk::SphereSpatialFunction<dim> TFunctionType;
  typedef TFunctionType::InputType TFunctionPositionType;

  // Create and initialize a new sphere function

  TFunctionType::Pointer spatialFunc = TFunctionType::New();
  spatialFunc->SetRadius( 5 );

  TFunctionPositionType center;
  center[0]=10;
  center[1]=10;
  center[2]=10;
  spatialFunc->SetCenter(center);

  printf("Sphere spatial function created\n");

  //---------Create and initialize a spatial function iterator-----------
  TImageType::IndexType seedPos;
  const TImageType::IndexValueType pos[] = {10,10,10};
  seedPos.SetIndex(pos);

  typedef itk::FloodFilledSpatialFunctionConditionalIterator
    <TImageType, TFunctionType> TItType;
  TItType sfi = TItType(sourceImage, spatialFunc, seedPos);

  // Iterate through the entire image and set interior pixels to 255
  for( ; !( sfi.IsAtEnd() ); ++sfi)
    {
    sfi.Set(255);
    }

  printf("Spatial function iterator created, sphere drawn\n");

  //--------------------Do blurring----------------
  typedef TImageType TOutputType;
  
  // Create a binomial blur filter
  itk::BinomialBlurImageFilter<TImageType, TOutputType>::Pointer binfilter;
  binfilter = itk::BinomialBlurImageFilter<TImageType, TOutputType>::New();

  sourceImage->SetRequestedRegion(sourceImage->GetLargestPossibleRegion() );

  // Set filter parameters
  binfilter->SetInput(sourceImage);
  binfilter->SetRepetitions(4);

  // Set up the output of the filter
  TImageType::Pointer blurredImage = binfilter->GetOutput();

  // Execute the filter
  binfilter->Update();
  printf("Binomial blur filter updated\n");
  
  //------------Finally we can test the DOG filter------------
  
  // Create a differennce of gaussians gradient filter
  typedef itk::DifferenceOfGaussiansGradientImageFilter<TOutputType,
    double> TDOGFilterType;
  TDOGFilterType::Pointer DOGFilter = TDOGFilterType::New();
  FilterWatcher watcher(DOGFilter);

  // We're filtering the output of the binomial filter
  DOGFilter->SetInput(blurredImage);
  
  // Test the get/set macro for width
  DOGFilter->SetWidth(4);
  unsigned int theWidth = DOGFilter->GetWidth();
  std::cout << "DOGFilter->GetWidth(): " << theWidth << std::endl;
  
  // Get the output of the gradient filter
  TDOGFilterType::TOutputImage::Pointer gradientImage = DOGFilter->GetOutput();

  // Go!
  DOGFilter->Update();

  //-------------Test gradient magnitude-------------
  typedef itk::GradientToMagnitudeImageFilter<TDOGFilterType::TOutputImage,
    itk::Image<unsigned char, dim> > TGradMagType;

  TGradMagType::Pointer gradMagFilter = TGradMagType::New();

  gradMagFilter->SetInput(gradientImage);
  gradMagFilter->Update();

  return EXIT_SUCCESS;
}