[Insight-users] function arguments

[Mario Ceresa]

Hello Jesus,
If you always want to use a given image type (such as  itk::Image<
float, 3 > ) then you can pass the image as a pointer. You'll find an
example attached.

On the other hand, if you want to encapsulate your code into something
you can apply to various image types, then you want to create a filter
and use template programming. You can look at the developer section of

http://www.itk.org/ItkSoftwareGuide.pdf

to learn how.

Hope this helps,

Mario

2009/12/14 Jesus Piairo <jp.ineb.dsi at gmail.com>:
> Hello!!
>
> I´m trying to reorganize my code using functions but i´m having problems
> with the arguments for the functions.
>
> I have 2 functions:  main function and filtroGauss
>
> In main function a read an image from a file;
>
> In filtroGaus function i want to aply an gaussian filter, the argument
> should be the image that was read in main function.
>
> How can I do this correctly??
>
> Thkns in advance!
>
> Regards.
>
> JP
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-------------- next part --------------
cmake_minimum_required(VERSION 2.6)
PROJECT(test)

FIND_PACKAGE(ITK)
IF(ITK_FOUND)
	INCLUDE(${ITK_USE_FILE})
ELSE(ITK_FOUND)
	MESSAGE(FATAL_ERROR
	"ITK not found. Please set ITK_DIR.")
ENDIF(ITK_FOUND)

INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})

ADD_EXECUTABLE(test test.cxx)

TARGET_LINK_LIBRARIES(test ITKCommon ITKIO)
-------------- next part --------------

#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"

#include "itkDiscreteGaussianImageFilter.h"

typedef float PixelType;

typedef itk::Image< PixelType, 3 >		ImageType;

ImageType::Pointer filtroGauss(ImageType::Pointer, double , unsigned int);

int main (int argc, char **argv ) {

  typedef itk::ImageFileReader < ImageType >  ReaderType;
  ReaderType::Pointer reader = ReaderType::New();
  
  reader->SetFileName( argv[1] );
  
  try

    {

    reader->Update();

    }

  catch( itk::ExceptionObject & err )

    {

    std::cerr << "ExceptionObject caught!" << std::endl;

    std::cerr << err << std::endl;

    return 1;

   }
   
  
  ImageType::Pointer pImg = reader->GetOutput();
  
  const double gaussianVariance = atof( argv[3] );
  const unsigned int maxKernelWidth = atoi( argv[4] );
  
  // Pass a pointer to the image
  ImageType::Pointer pGauss = filtroGauss(pImg, gaussianVariance, maxKernelWidth);
  
  // Write the result
  typedef itk::ImageFileWriter < ImageType >  WriterType;
  WriterType::Pointer writer = WriterType::New();
  
  writer->SetInput( pGauss );
  writer->SetFileName( argv[2] );

  try

    {

    writer->Update();

    }

  catch( itk::ExceptionObject & err )

    {

    std::cerr << "ExceptionObject caught!" << std::endl;

    std::cerr << err << std::endl;

    return 1;

   }
  
  
  
}

ImageType::Pointer filtroGauss(ImageType::Pointer pInputImage, double gaussianVariance, unsigned int maxKernelWidth) {

     // Do something
     typedef itk::DiscreteGaussianImageFilter< ImageType, ImageType >  FilterType;

     FilterType::Pointer filter = FilterType::New();
     
     filter->SetInput( pInputImage );

     filter->SetVariance( gaussianVariance );
     filter->SetMaximumKernelWidth( maxKernelWidth );
     
     filter->Update();

     // return result
     return filter->GetOutput();

}