RandomGaussianImage2d

Creates a new two-dimensional image with random values that have a Gaussian distribution.

Access to parameter description

RandomGaussianImage2d creates an image with random values that follow a Gaussian distribution of a given mean and standard deviation.
The output image intensity values are generally included in the range

$[Mean-4.5\times\sigma ~..~ Mean+4.5\times\sigma]$ .
Where

$Mean$ and the standard deviation

$\sigma$ are input parameters of the algorithm.

The type of the output image is set by an enumerate as detailed in the Data Type Management section.

See also

Function Syntax

This function returns outputImage.

// Function prototype
std::shared_ptr< iolink::ImageView >
randomGaussianImage2d( RandomGaussianImage2d::OutputType outputType,
                       int32_t imageSizeX,
                       int32_t imageSizeY,
                       double mean,
                       double standardDeviation,
                       std::shared_ptr< iolink::ImageView > outputImage = nullptr );

This function returns outputImage.

// Function prototype.
random_gaussian_image_2d(output_type: RandomGaussianImage2d.OutputType = RandomGaussianImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
                         image_size_x: int = 1024,
                         image_size_y: int = 1024,
                         mean: float = 80,
                         standard_deviation: float = 20,
                         output_image: idt.ImageType = None) -> idt.ImageType

This function returns outputImage.

// Function prototype.
public static IOLink.ImageView
RandomGaussianImage2d( RandomGaussianImage2d.OutputType outputType = ImageDev.RandomGaussianImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
                       Int32 imageSizeX = 1024,
                       Int32 imageSizeY = 1024,
                       double mean = 80,
                       double standardDeviation = 20,
                       IOLink.ImageView outputImage = null );

Class Syntax

// Command constructor.
RandomGaussianImage2d();

/// Gets the outputType parameter.
/// The output image data type.
RandomGaussianImage2d::OutputType outputType() const;
/// Sets the outputType parameter.
/// The output image data type.
void setOutputType( const RandomGaussianImage2d::OutputType& outputType );

/// Gets the imageSizeX parameter.
/// The X size in pixels of the output image.
int32_t imageSizeX() const;
/// Sets the imageSizeX parameter.
/// The X size in pixels of the output image.
void setImageSizeX( const int32_t& imageSizeX );

/// Gets the imageSizeY parameter.
/// The Y size in pixels of the output image.
int32_t imageSizeY() const;
/// Sets the imageSizeY parameter.
/// The Y size in pixels of the output image.
void setImageSizeY( const int32_t& imageSizeY );

/// Gets the mean parameter.
/// The mean intensity of the output distribution.
double mean() const;
/// Sets the mean parameter.
/// The mean intensity of the output distribution.
void setMean( const double& mean );

/// Gets the standardDeviation parameter.
/// The standard deviation.
double standardDeviation() const;
/// Sets the standardDeviation parameter.
/// The standard deviation.
void setStandardDeviation( const double& standardDeviation );

/// Gets the outputImage parameter.
/// The output image.
std::shared_ptr< iolink::ImageView > outputImage() const;
/// Sets the outputImage parameter.
/// The output image.
void setOutputImage( std::shared_ptr< iolink::ImageView > outputImage );


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

# Property of the outputType parameter.
RandomGaussianImage2d.output_type
# Property of the imageSizeX parameter.
RandomGaussianImage2d.image_size_x
# Property of the imageSizeY parameter.
RandomGaussianImage2d.image_size_y
# Property of the mean parameter.
RandomGaussianImage2d.mean
# Property of the standardDeviation parameter.
RandomGaussianImage2d.standard_deviation
# Property of the outputImage parameter.
RandomGaussianImage2d.output_image

// Method to launch the command.
execute()

// Command constructor.
RandomGaussianImage2d()

// Property of the outputType parameter.
RandomGaussianImage2d.outputType
// Property of the imageSizeX parameter.
RandomGaussianImage2d.imageSizeX
// Property of the imageSizeY parameter.
RandomGaussianImage2d.imageSizeY
// Property of the mean parameter.
RandomGaussianImage2d.mean
// Property of the standardDeviation parameter.
RandomGaussianImage2d.standardDeviation
// Property of the outputImage parameter.
RandomGaussianImage2d.outputImage

// Method to launch the command.
Execute()

Parameters

Parameter Name

Description

Type

Supported Values

Default Value

imageSizeX

The X size in pixels of the output image.

Int32

>=1

1024

imageSizeY

The Y size in pixels of the output image.

Int32

>=1

1024

outputType

The output image data type.

UNSIGNED_INTEGER_8_BIT	The output image data type is 1 byte depth. Its possible intensities are unsigned integer from 0 to 255.
SIGNED_INTEGER_8_BIT	The output image data type is 1 byte depth. Its possible intensities are signed integer from -128 to 127.
SIGNED_INTEGER_16_BIT	The output image data type is 2 bytes depth. Its possible intensities are signed integer from -32,768 to 32,767.
UNSIGNED_INTEGER_16_BIT	The output image data type is 2 bytes depth. Its possible intensities are unsigned integer from 0 to 65,535.
LABEL_16_BIT	The output image data type is 2 bytes depth and interpretation is label. Its possible intensities are unsigned integer from 0 to 65,535.
BINARY	The output image data type is 2 bytes depth and interpretation is binary. Its possible intensities are unsigned integer from 0 to 1.
SIGNED_INTEGER_32_BIT	The output image data type is 4 bytes depth. Its possible intensities are signed integer from -2,147,483,648 to 2,147,483,647.
FLOAT_32_BIT	The output image data type is 4 bytes depth. Its possible intensities are unsigned floating-point from -3.402823E38 to 3.402823E38.

Enumeration

UNSIGNED_INTEGER_8_BIT

mean

The mean intensity of the output distribution.

Float64

Any value

standardDeviation

The standard deviation.

Float64

outputImage

The output image.

Image

nullptr

Object Examples


RandomGaussianImage2d randomGaussianImage2dAlgo;
randomGaussianImage2dAlgo.setOutputType( RandomGaussianImage2d::OutputType::UNSIGNED_INTEGER_8_BIT );
randomGaussianImage2dAlgo.setImageSizeX( 256 );
randomGaussianImage2dAlgo.setImageSizeY( 256 );
randomGaussianImage2dAlgo.setMean( 80.0 );
randomGaussianImage2dAlgo.setStandardDeviation( 20.0 );
randomGaussianImage2dAlgo.execute();

std::cout << "outputImage:" << randomGaussianImage2dAlgo.outputImage()->toString();


random_gaussian_image_2d_algo = imagedev.RandomGaussianImage2d()
random_gaussian_image_2d_algo.output_type = imagedev.RandomGaussianImage2d.UNSIGNED_INTEGER_8_BIT
random_gaussian_image_2d_algo.image_size_x = 256
random_gaussian_image_2d_algo.image_size_y = 256
random_gaussian_image_2d_algo.mean = 80.0
random_gaussian_image_2d_algo.standard_deviation = 20.0
random_gaussian_image_2d_algo.execute()

print("output_image:", str(random_gaussian_image_2d_algo.output_image))


RandomGaussianImage2d randomGaussianImage2dAlgo = new RandomGaussianImage2d
{
    outputType = RandomGaussianImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
    imageSizeX = 256,
    imageSizeY = 256,
    mean = 80.0,
    standardDeviation = 20.0
};
randomGaussianImage2dAlgo.Execute();

Console.WriteLine( "outputImage:" + randomGaussianImage2dAlgo.outputImage.ToString() );

Function Examples


auto result = randomGaussianImage2d( RandomGaussianImage2d::OutputType::UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 20.0 );

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


result = imagedev.random_gaussian_image_2d(imagedev.RandomGaussianImage2d.UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 20.0)

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


IOLink.ImageView result = Processing.RandomGaussianImage2d( RandomGaussianImage2d.OutputType.UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 20.0 );

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

RandomGaussianImage2d

- Function Syntax

+ Class Syntax

Parameters

Object Examples

Function Examples

Function Syntax

Class Syntax