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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSignedDanielssonDistanceMapImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2005-04-17 23:03:29 $
Version: $Revision: 1.3 $
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 <itkImageRegionIteratorWithIndex.h>
#include <itkImageSliceConstIteratorWithIndex.h>
#include <itkSignedDanielssonDistanceMapImageFilter.h>
void test(int);
int itkSignedDanielssonDistanceMapImageFilterTest(int, char* [] )
{
std::cout << "Test ITK Signed Danielsson Distance Map" << std::endl << std::endl;
test(1); // Test with a 9x9 square, with a 5x5 subsquare in the middle ON
test(0); // Test with 2 points.. same test and results as
// DanielssonDistanceMap
return EXIT_SUCCESS;
}
void test(int testIdx)
{
const unsigned int Dimension = 2;
typedef float PixelType;
typedef itk::Image< PixelType, Dimension > myImageType2D1;
typedef itk::Image< PixelType, Dimension > myImageType2D2;
/* TEST 1: For a point image, SignedDaniessonDistanceMapImageFilter should
* give the same output as DaniessonDistanceMapImageFilter */
/* Allocate the 2D image */
myImageType2D1::SizeType size2D;
size2D.Fill( 9 );
myImageType2D1::IndexType index2D;
index2D.Fill( 0 );
myImageType2D1::RegionType region2D;
region2D.SetSize( size2D );
region2D.SetIndex( index2D );
myImageType2D1::Pointer inputImage2D = myImageType2D1::New();
inputImage2D->SetLargestPossibleRegion( region2D );
inputImage2D->SetBufferedRegion( region2D );
inputImage2D->SetRequestedRegion( region2D );
inputImage2D->Allocate();
typedef itk::ImageRegionIteratorWithIndex< myImageType2D1 > myIteratorType2D1;
typedef itk::ImageRegionIteratorWithIndex< myImageType2D2 > myIteratorType2D2;
myIteratorType2D1 it2D1( inputImage2D, region2D );
// Set the image to 0
while( !it2D1.IsAtEnd() )
{
it2D1.Set( 0 );
++it2D1;
}
if ( !testIdx )
{
std::cout
<< "Compute with a 9x9 image, pixels (4,4) and (1,6) set to ON."
<< " This subtest is the same as the DanielssonDistanceMapTest "
<< "and should yield the same results."
<< std::endl << std::endl;
/* Set pixel (4,4) with the value 1
* and pixel (1,6) with the value 2
* The Danielsson Distance is performed for each pixel with a value > 0
* The ClosestPoints computation is based on the value of the pixel.
* Test 1 contains two isolated points and should return the same result
* as if the filter SignedDanielssonDistanceMapImageFilter was changed
* to DanielssonDistanceMapImageFilter
*/
index2D[0] = 4;
index2D[1] = 4;
inputImage2D->SetPixel( index2D, 1);
index2D[0] = 1;
index2D[1] = 6;
inputImage2D->SetPixel( index2D, 2);
}
else
{
std::cout <<
"Compute with a 9x9 image, with a 5x5 square at the center set to ON."
<< std::endl << std::endl;
//Test the signed Danielsson Output for the a 5x5 square in a 9x9 image
int i,j;
for (i=2; i<=6; i++)
{
for (j=2; j<=6; j++)
{
index2D[0] = i;
index2D[1] = j;
inputImage2D->SetPixel( index2D, 1);
}
}
}
/* Create Danielsson Distance Map filter */
typedef itk::SignedDanielssonDistanceMapImageFilter<
myImageType2D1,
myImageType2D2 > myFilterType2D;
myFilterType2D::Pointer filter2D = myFilterType2D::New();
filter2D->SetInput( inputImage2D );
myImageType2D2::Pointer outputDistance2D = filter2D->GetOutput();
myImageType2D1::Pointer outputVoronoi2D = filter2D->GetVoronoiMap();
myFilterType2D::VectorImageType::Pointer
outputComponents = filter2D->GetVectorDistanceMap();
filter2D->Update();
/* Show Distance map */
itk::ImageSliceConstIteratorWithIndex<myImageType2D2> it2D2(
outputDistance2D,
outputDistance2D->GetRequestedRegion() );
it2D2.GoToBegin();
it2D2.SetFirstDirection ( 0 );
it2D2.SetSecondDirection( 1 );
while( !it2D2.IsAtEnd() )
{
while( !it2D2.IsAtEndOfSlice() )
{
while( !it2D2.IsAtEndOfLine() )
{
std::cout.width(5);
std::cout << it2D2.Get() << "\t";
++it2D2;
}
std::cout << std::endl;
it2D2.NextLine();
}
it2D2.NextSlice();
}
/* Show Closest Points map */
std::cout << std::endl << std::endl;
std::cout << "Voronoi Map Image 2D" << std::endl << std::endl;
itk::ImageSliceConstIteratorWithIndex< myImageType2D2 > it2D3(
outputVoronoi2D,
outputVoronoi2D->GetRequestedRegion() );
it2D3.SetFirstDirection( 0 );
it2D3.SetSecondDirection( 1 );
while( !it2D3.IsAtEnd() )
{
while( !it2D3.IsAtEndOfSlice() )
{
while( !it2D3.IsAtEndOfLine() )
{
std::cout.width(5);
std::cout << it2D3.Get() << "\t";
++it2D3;
}
std::cout << std::endl;
it2D3.NextLine();
}
it2D3.NextSlice();
}
/* Show VectorsComponents Points map */
std::cout << std::endl << std::endl;
std::cout << "Components Map Image 2D" << std::endl << std::endl;
itk::ImageSliceConstIteratorWithIndex< myFilterType2D::VectorImageType > it2D4(
outputComponents,
outputComponents->GetRequestedRegion() );
it2D4.SetFirstDirection( 0 );
it2D4.SetSecondDirection( 1 );
while( !it2D4.IsAtEnd() )
{
while( !it2D4.IsAtEndOfSlice() )
{
while( !it2D4.IsAtEndOfLine() )
{
std::cout << "[" ;
for (unsigned int i=0;i<2;i++)
{
std::cout << it2D4.Get()[i] ;
if( i==0 )
{
std::cout << ",";
}
}
std::cout << "]";
std::cout << "\t" ;
++it2D4;
}
std::cout << std::endl;
it2D4.NextLine();
}
it2D4.NextSlice();
}
/* Test Distance functionality */
filter2D->Update();
/* Show Distance map */
std::cout << "Distance Map " << std::endl;
it2D2.GoToBegin();
it2D2.SetFirstDirection ( 0 );
it2D2.SetSecondDirection( 1 );
while( !it2D2.IsAtEnd() )
{
while( !it2D2.IsAtEndOfSlice() )
{
while( !it2D2.IsAtEndOfLine() )
{
std::cout.width(5);
std::cout << it2D2.Get() << "\t";
++it2D2;
}
std::cout << std::endl;
it2D2.NextLine();
}
it2D2.NextSlice();
}
}
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