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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkGrayscaleFunctionDilateImageFilterTest.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 <stdlib.h>
#include <itkImage.h>
#include <itkGrayscaleFunctionDilateImageFilter.h>
#include <itkBinaryBallStructuringElement.h>
#include <itkImageRegionIterator.h>
#include <itkExceptionObject.h>
#include "itkFilterWatcher.h"
#include "itkImageFileWriter.h"
int itkGrayscaleFunctionDilateImageFilterTest(int argc, char *argv[] )
{
unsigned int i;
// Define the dimension of the images
const unsigned int myDimension = 2;
// Define the values of the input images
const unsigned short fgValue = 1;
const unsigned short bgValue = 0;
// Declare the types of the images
typedef itk::Image<unsigned short, 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 an image
myImageType::Pointer inputImage = myImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = 20;
size[1] = 20;
myIndexType start;
start[0] = 0;
start[1] = 0;
myRegionType region;
region.SetIndex( start );
region.SetSize( size );
// Initialize Image
inputImage->SetRegions( region );
inputImage->Allocate();
// Declare Iterator types apropriated for each image
typedef itk::ImageRegionIterator<myImageType> myIteratorType;
// Create one iterator for image (this is a light object)
myIteratorType it( inputImage, inputImage->GetBufferedRegion() );
// Initialize the content of Image
std::cout << "Input image " << std::endl;
inputImage->FillBuffer(bgValue);
myImageType::IndexType ind;
ind[0] = 10;
ind[1] = 10;
inputImage->SetPixel(ind, fgValue);
ind[0] = 2;
ind[1] = 2;
inputImage->SetPixel(ind, fgValue);
ind[0] = 19;
ind[1] = 10;
inputImage->SetPixel(ind, fgValue);
ind[0] = 19;
ind[1] = 0;
inputImage->SetPixel(ind, fgValue);
ind[0] = 19;
ind[1] = 19;
inputImage->SetPixel(ind, fgValue);
ind[0] = 0;
ind[1] = 19;
inputImage->SetPixel(ind, fgValue);
i = 0;
it.GoToBegin();
while ( !it.IsAtEnd() )
{
std::cout << it.Get() << " ";
++it;
if (++i % 20 == 0)
{
std::cout << std::endl;
}
}
// Declare the type for the structuring element
typedef itk::BinaryBallStructuringElement<unsigned short, myDimension>
myKernelType;
// Declare the type for the morphology Filter
typedef itk::GrayscaleFunctionDilateImageFilter<myImageType, myImageType, myKernelType>
myFilterType;
// Create the filter
myFilterType::Pointer filter = myFilterType::New();
FilterWatcher filterWatcher(filter);
// Create the structuring element
myKernelType ball;
myKernelType::SizeType ballSize;
ballSize[0] = 1;
ballSize[1] = 4;
ball.SetRadius(ballSize);
ball.CreateStructuringElement();
// Connect the input image
filter->SetInput( inputImage );
filter->SetKernel( ball );
// Get the Smart Pointer to the Filter Output
myImageType::Pointer outputImage = filter->GetOutput();
// Execute the filter
try
{
filter->Update();
// Create an iterator for going through the image output
myIteratorType it2(outputImage, outputImage->GetBufferedRegion());
// Print the content of the result image
std::cout << "Result " << std::endl;
i=0;
while( !it2.IsAtEnd() )
{
std::cout << it2.Get() << " ";
++it2;
if (++i % 20 == 0)
{
std::cout << std::endl;
}
}
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception caught during filter Update\n" << e;
return -1;
}
// if there is a file name specified as an argument, write the data
// into the file. This enables regression testing of the filter.
if (argc == 2)
{
typedef itk::ImageFileWriter< myImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[1] );
writer->SetInput( filter->GetOutput() );
writer->Update();
}
return EXIT_SUCCESS;
}
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