Median Filtering of an RGB Image¶
Synopsis¶
Apply median filtering on a RGB Image. The sorting of pixel is performed on their luminance.
Results¶
![Input image](../../../../_images/GourdsRGB.png)
Input image¶
![Output image](../../../../_images/OutputBaseline42.png)
Output image¶
Code¶
C++¶
#include "itkMedianImageFilter.h"
#include "itkRGBPixel.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
namespace itk
{
/** \class myRGBPixel
* \brief Extends RGBPixel with operator <=
*
* This class overrides the <= and < operators to use Luminance as a sorting
* value.
*/
template <typename TComponent = unsigned short>
class myRGBPixel : public RGBPixel<TComponent>
{
public:
using Self = myRGBPixel;
using Superclass = RGBPixel<TComponent>;
using RGBPixel<TComponent>::operator=;
bool
operator<=(const Self & r) const
{
return (this->GetLuminance() <= r.GetLuminance());
}
bool
operator<(const Self & r) const
{
return (this->GetLuminance() < r.GetLuminance());
}
};
} // namespace itk
int
main(int argc, char * argv[])
{
// Verify command line arguments
if (argc != 4)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " <InputImageFile> <OutputImageFile> <radius>" << std::endl;
return EXIT_FAILURE;
}
// Setup types
constexpr unsigned int Dimension = 2;
using MyPixelType = itk::myRGBPixel<unsigned char>;
using MyImageType = itk::Image<MyPixelType, Dimension>;
// Create and setup a reader
using ReaderType = itk::ImageFileReader<MyImageType>;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(argv[1]);
// Create and setup a median filter
using FilterType = itk::MedianImageFilter<MyImageType, MyImageType>;
FilterType::Pointer medianFilter = FilterType::New();
FilterType::InputSizeType radius;
radius.Fill(std::stoi(argv[3]));
medianFilter->SetRadius(radius);
medianFilter->SetInput(reader->GetOutput());
// Cast the custom myRBGPixel's to RGBPixel's
using RGBPixelType = itk::RGBPixel<unsigned char>;
using RGBImageType = itk::Image<RGBPixelType, Dimension>;
using CastType = itk::CastImageFilter<MyImageType, RGBImageType>;
CastType::Pointer cast = CastType::New();
cast->SetInput(medianFilter->GetOutput());
using WriterType = itk::ImageFileWriter<RGBImageType>;
WriterType::Pointer writer = WriterType::New();
writer->SetInput(cast->GetOutput());
writer->SetFileName(argv[2]);
try
{
writer->Update();
}
catch (itk::ExceptionObject & error)
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
Classes demonstrated¶
-
template<typename
TInputImage
, typenameTOutputImage
>
classMedianImageFilter
: public itk::BoxImageFilter<TInputImage, TOutputImage> Applies a median filter to an image.
Computes an image where a given pixel is the median value of the the pixels in a neighborhood about the corresponding input pixel.
A median filter is one of the family of nonlinear filters. It is used to smooth an image without being biased by outliers or shot noise.
This filter requires that the input pixel type provides an operator<() (LessThan Comparable).
- See
Image
- See
Neighborhood
- See
NeighborhoodOperator
- See
NeighborhoodIterator
- ITK Sphinx Examples: