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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: ImageSpatialObject.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
// Software Guide : BeginLatex
//
// \index{itk::ImageSpatialObject}
//
// An \doxygen{ImageSpatialObject} contains an \doxygen{Image} but adds the
// notion of spatial transformations and parent-child hierarchy. Let's begin
// the next example by including the appropriate header file.
//
// Software Guide : EndLatex
#include <itkImageRegionIterator.h>
// Software Guide : BeginCodeSnippet
#include "itkImageSpatialObject.h"
// Software Guide : EndCodeSnippet
int main( int , char *[] )
{
// Software Guide : BeginLatex
//
// We first create a simple 2D image of size 10 by 10 pixels.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::Image<short,2> Image;
Image::Pointer image = Image::New();
Image::SizeType size = {{ 10, 10 }};
Image::RegionType region;
region.SetSize(size);
image->SetRegions(region);
image->Allocate();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Next we fill the image with increasing values.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::ImageRegionIterator<Image> Iterator;
Iterator it(image,region);
short pixelValue =0;
it.GoToBegin();
for(; !it.IsAtEnd(); ++it, ++pixelValue)
{
it.Set(pixelValue);
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We can now define the ImageSpatialObject which is templated over the dimension
// and the pixel type of the image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::ImageSpatialObject<2,short> ImageSpatialObject;
ImageSpatialObject::Pointer imageSO = ImageSpatialObject::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Then we set the itkImage to the ImageSpatialObject by using the
// \code{SetImage()} function.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
imageSO->SetImage(image);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// At this point we can use \code{IsInside()}, \code{ValueAt()} and
// \code{DerivativeAt()} functions inherent in SpatialObjects. The
// \code{IsInside()} value can be useful when dealing with registration.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::Point<double,2> Point;
Point insidePoint;
insidePoint.Fill(9);
if( imageSO->IsInside(insidePoint) )
{
std::cout << insidePoint << " is inside the image." << std::endl;
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The \code{ValueAt()} returns the value of the closest pixel, i.e no interpolation, to
// a given physical point.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
double returnedValue;
imageSO->ValueAt(insidePoint,returnedValue);
std::cout << "ValueAt(" << insidePoint << ") = " << returnedValue << std::endl;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The derivative at a specified position in space can be computed using the
// \code{DerivativeAt()} function. The first argument is the point in
// physical coordinates where we are evaluating the derivatives. The second
// argument is the order of the derivation, and the third argument is the
// result expressed as a \doxygen{Vector}. Derivatives are computed
// iteratively using finite differences and, like the \code{ValueAt()}, no
// interpolator is used.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ImageSpatialObject::OutputVectorType returnedDerivative;
imageSO->DerivativeAt(insidePoint,1,returnedDerivative);
std::cout << "First derivative at " << insidePoint;
std::cout << " = " << returnedDerivative << std::endl;
// Software Guide : EndCodeSnippet
return 0;
}
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