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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;
}
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