Despeckle2d

Smoothes a two-dimensional image by replacing any aberrant pixel values by their neighbors mean value.

Access to parameter description

For an introduction to image filters: see Images Filtering.

For each pixel of the input image, mean

$\mu$ and standard deviation

$\sigma$ values of a rectangular neighbor window are computed.
The output image value is then given by:

$O(i,j)=\left\{\begin{array}{ll} \mu(i,j) & ~ \mbox{if} ~ \lambda \times |I(i,j)-\mu(i,j)| > \sigma(i,j)\\ I(i,j) & ~ \mbox{otherwise} \end{array}\right.$
Where

$\lambda$ is a user-defined threshold factor on the distance of the current pixel gray level to the mean of its neighbors, relative to their standard deviation.
The greater

$\lambda$ is, the stronger the blur.

This filter gives good results in the case of impulse noise.

See also

Function Syntax

This function returns the outputImage output parameter.

// Function prototype.
std::shared_ptr< iolink::ImageView >
despeckle2d( std::shared_ptr< iolink::ImageView > inputImage,
             int32_t kernelSizeX,
             int32_t kernelSizeY,
             double thresholdFactor,
             std::shared_ptr< iolink::ImageView > outputImage = NULL );

This function returns the outputImage output parameter.

// Function prototype.
despeckle_2d( input_image,
              kernel_size_x = 3,
              kernel_size_y = 3,
              threshold_factor = 1,
              output_image = None )

This function returns the outputImage output parameter.

// Function prototype.
public static IOLink.ImageView
Despeckle2d( IOLink.ImageView inputImage,
             Int32 kernelSizeX = 3,
             Int32 kernelSizeY = 3,
             double thresholdFactor = 1,
             IOLink.ImageView outputImage = null );

Class Syntax

// Command constructor.
Despeckle2d();

// Get method of the inputImage parameter.
std::shared_ptr< iolink::ImageView > inputImage() const;
// Set method of the inputImage parameter.
void setInputImage( std::shared_ptr< iolink::ImageView > inputImage );

// Get method of the kernelSizeX parameter.
int32_t kernelSizeX() const;
// Set method of the kernelSizeX parameter.
void setKernelSizeX( const int32_t& kernelSizeX );

// Get method of the kernelSizeY parameter.
int32_t kernelSizeY() const;
// Set method of the kernelSizeY parameter.
void setKernelSizeY( const int32_t& kernelSizeY );

// Get method of the thresholdFactor parameter.
double thresholdFactor() const;
// Set method of the thresholdFactor parameter.
void setThresholdFactor( const double& thresholdFactor );

// Get method of the outputImage parameter.
std::shared_ptr< iolink::ImageView > outputImage() const;
// Set method of the outputImage parameter.
void setOutputImage( std::shared_ptr< iolink::ImageView > outputImage );

// Method to launch the command.
void execute();

// Property of the inputImage parameter.
Despeckle2d.input_image
// Property of the kernelSizeX parameter.
Despeckle2d.kernel_size_x
// Property of the kernelSizeY parameter.
Despeckle2d.kernel_size_y
// Property of the thresholdFactor parameter.
Despeckle2d.threshold_factor
// Property of the outputImage parameter.
Despeckle2d.output_image

// Method to launch the command.
execute()

// Command constructor.
Despeckle2d()

// Property of the inputImage parameter.
Despeckle2d.inputImage
// Property of the kernelSizeX parameter.
Despeckle2d.kernelSizeX
// Property of the kernelSizeY parameter.
Despeckle2d.kernelSizeY
// Property of the thresholdFactor parameter.
Despeckle2d.thresholdFactor
// Property of the outputImage parameter.
Despeckle2d.outputImage

// Method to launch the command.
Execute()

Parameters

Class Name	Despeckle2d

	Description	Type	Supported Values	Default Value
inputImage	The input image.	Image	Binary, Label, Grayscale or Multispectral	nullptr
kernelSizeX	Horizontal kernel size in pixels (odd value).	Int32	[3, 100]	3
kernelSizeY	Vertical kernel size in pixels (odd value).	Int32	[3, 100]	3
thresholdFactor	The standard deviation threshold factor (must be a positive value).	Float64	>0	1
outputImage	The output image. Its dimensions, type, and calibration are forced to the same values as the input.	Image		nullptr

Object Examples

std::shared_ptr< iolink::ImageView > polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );

Despeckle2d despeckle2dAlgo;
despeckle2dAlgo.setInputImage( polystyrene );
despeckle2dAlgo.setKernelSizeX( 3 );
despeckle2dAlgo.setKernelSizeY( 3 );
despeckle2dAlgo.setThresholdFactor( 1.0 );
despeckle2dAlgo.execute();

std::cout << "outputImage:" << despeckle2dAlgo.outputImage()->toString();

polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))

despeckle_2d_algo = imagedev.Despeckle2d()
despeckle_2d_algo.input_image = polystyrene
despeckle_2d_algo.kernel_size_x = 3
despeckle_2d_algo.kernel_size_y = 3
despeckle_2d_algo.threshold_factor = 1.0
despeckle_2d_algo.execute()

print( "output_image:", str( despeckle_2d_algo.output_image ) );

ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" );

Despeckle2d despeckle2dAlgo = new Despeckle2d
{
    inputImage = polystyrene,
    kernelSizeX = 3,
    kernelSizeY = 3,
    thresholdFactor = 1.0
};
despeckle2dAlgo.Execute();

Console.WriteLine( "outputImage:" + despeckle2dAlgo.outputImage.ToString() );

Function Examples

std::shared_ptr< iolink::ImageView > polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );

auto result = despeckle2d( polystyrene, 3, 3, 1.0 );

std::cout << "outputImage:" << result->toString();

polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))

result = imagedev.despeckle_2d( polystyrene, 3, 3, 1.0 )

print( "output_image:", str( result ) );

ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" );

IOLink.ImageView result = Processing.Despeckle2d( polystyrene, 3, 3, 1.0 );

Console.WriteLine( "outputImage:" + result.ToString() );

Despeckle2d

- Function Syntax

+ Class Syntax

Parameters

Object Examples

Function Examples

Function Syntax

Class Syntax