ITK  5.2.0 Insight Toolkit
Examples/Filtering/CastingImageFilters.cxx
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// Software Guide : BeginLatex
//
// Due to the use of
// \href{http://www.boost.org/more/generic_programming.html}{Generic
// Programming} in the toolkit, most types are resolved at compile-time. Few
// decisions regarding type conversion are left to run-time. It is up to the
// user to anticipate the pixel type-conversions required in the data
// pipeline. In medical imaging applications it is usually not desirable
// to use a general pixel type since this may result in the loss of
// valuable information.
//
// This section introduces the mechanisms for explicit casting of images that
// flow through the pipeline. The following four filters are treated in this
// section: \doxygen{CastImageFilter}, \doxygen{RescaleIntensityImageFilter},
// \doxygen{ShiftScaleImageFilter} and \doxygen{NormalizeImageFilter}. These
// filters are not directly related to each other except that they all modify
// pixel values. They are presented together here for the purpose of
// comparing their individual features.
//
// The CastImageFilter is a very simple filter that acts pixel-wise on an
// input image, casting every pixel to the type of the output image. Note
// that this filter does not perform any arithmetic operation on the
// intensities. Applying CastImageFilter is equivalent to performing a
// \code{C-Style} cast on every pixel.
//
// \code{ outputPixel = static\_cast<OutputPixelType>( inputPixel ) }
//
// The RescaleIntensityImageFilter linearly scales the
// pixel values in such a way that the minimum and maximum values of the
// input are mapped to minimum and maximum values provided by the
// user. This is a typical process for forcing the dynamic range of the image
// to fit within a particular scale and is common for image display.
// The linear transformation applied by this filter can be expressed as
//
// $outputPixel = ( inputPixel - inpMin) \times // \frac{(outMax - outMin )}{(inpMax-inpMin)} + outMin$.
//
// The ShiftScaleImageFilter also applies a linear transformation to
// the intensities of the input image, but the transformation is specified
// by the user in the form of a multiplying factor and a value to be added.
// This can be expressed as
//
// $outputPixel = \left( inputPixel + Shift \right) \times Scale$.
//
// The parameters of the linear transformation applied by the
// NormalizeImageFilter are computed internally such that the
// statistical distribution of gray levels in the output image have zero
// mean and a variance of one. This intensity correction is particularly
// useful in registration applications as a preprocessing step to the
// evaluation of mutual information metrics. The linear transformation of
// NormalizeImageFilter is given as
//
// $outputPixel = \frac{( inputPixel - mean )}{ \sqrt{ variance } }$.
//
// \index{Casting Images}
// \index{itk::CastImageFilter}
// \index{itk::RescaleIntensityImageFilter}
// \index{itk::ShiftScaleImageFilter}
// \index{itk::NormalizeImageFilter}
//
// As usual, the first step required to use these filters is to include their
//
// Software Guide : EndLatex
#include "itkImage.h"
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
int
main(int argc, char * argv[])
{
if (argc < 2)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile " << std::endl;
return EXIT_FAILURE;
}
// Software Guide : BeginLatex
//
// Let's define pixel types for the input and output images.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using InputPixelType = unsigned char;
using OutputPixelType = float;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Then, the input and output image types are defined.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using InputImageType = itk::Image<InputPixelType, 3>;
using OutputImageType = itk::Image<OutputPixelType, 3>;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The filters are instantiated using the defined image types.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using CastFilterType =
using RescaleFilterType =
using ShiftScaleFilterType =
using NormalizeFilterType =
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Object filters are created by invoking the \code{New()} method and
// assigning the result to \doxygen{SmartPointer}s.
//
// \index{itk::ShiftScaleImageFilter!New()}
// \index{itk::RescaleIntensityImageFilter!New()}
// \index{itk::NormalizeImageFilter!New()}
// \index{itk::CastImageFilter!New()}
// \index{itk::ShiftScaleImageFilter!Pointer}
// \index{itk::RescaleIntensityImageFilter!Pointer}
// \index{itk::NormalizeImageFilter!Pointer}
// \index{itk::CastImageFilter!Pointer}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
CastFilterType::Pointer castFilter = CastFilterType::New();
RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();
ShiftScaleFilterType::Pointer shiftFilter = ShiftScaleFilterType::New();
NormalizeFilterType::Pointer normalizeFilter = NormalizeFilterType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The output of a reader filter (whose creation is not shown here) is now
// connected as input to the various casting filters.
//
// \index{itk::ShiftScaleImageFilter!SetInput()}
// \index{itk::RescaleIntensityImageFilter!SetInput()}
// \index{itk::NormalizeImageFilter!SetInput()}
// \index{itk::CastImageFilter!SetInput()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Next we proceed to setup the parameters required by each filter. The
// CastImageFilter and the NormalizeImageFilter do not
// require any parameters. The RescaleIntensityImageFilter, on
// the other hand, requires the user to provide the desired minimum and
// maximum pixel values of the output image. This is done by using the
// \code{SetOutputMinimum()} and \code{SetOutputMaximum()} methods as
// illustrated below.
//
// \index{itk::RescaleIntensityImageFilter!SetOutputMinimum()}
// \index{itk::RescaleIntensityImageFilter!SetOutputMaximum()}
// \index{SetOutputMinimum()!itk::RescaleIntensityImageFilter}
// \index{SetOutputMaximum()!itk::RescaleIntensityImageFilter}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
rescaleFilter->SetOutputMinimum(10);
rescaleFilter->SetOutputMaximum(250);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The ShiftScaleImageFilter requires a multiplication factor (scale) and a
// post-scaling additive value (shift). The methods \code{SetScale()} and
// \code{SetShift()} are used, respectively, to set these values.
//
// \index{itk::ShiftScaleImageFilter!SetShift()}
// \index{itk::ShiftScaleImageFilter!SetScale()}
// \index{SetShift()!itk::ShiftScaleImageFilter}
// \index{SetScale()!itk::ShiftScaleImageFilter}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
shiftFilter->SetScale(1.2);
shiftFilter->SetShift(25);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Finally, the filters are executed by invoking the \code{Update()}
// method.
//
// \index{itk::ShiftScaleImageFilter!Update()}
// \index{itk::RescaleIntensityImageFilter!Update()}
// \index{itk::NormalizeImageFilter!Update()}
// \index{itk::CastImageFilter!Update()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
castFilter->Update();
shiftFilter->Update();
rescaleFilter->Update();
normalizeFilter->Update();
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}
itk::CastImageFilter
Casts input pixels to output pixel type.
Definition: itkCastImageFilter.h:104
itkImage.h
itkCastImageFilter.h
itkNormalizeImageFilter.h
Data source that reads image data from a single file.