ImageDev

RandomImage2d

Creates a new two-dimensional image with random values having an equidistribution.

Access to parameter description

RandomImage2d creates an image with random values that follow a uniform distribution.
The output image intensity values are included in the range $\left[Mean-\frac{Range}{2}~..~Mean+\frac{Range}{2}\right]$.
Where $Mean$ and $Range$ are input parameters of the algorithm.
The image histogram is flat, which means that each intensity has an equiprobability to occur.

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

See also
See related example

Function Syntax

This function returns outputImage.
// Function prototype
std::shared_ptr< iolink::ImageView > randomImage2d( RandomImage2d::OutputType outputType, int32_t imageSizeX, int32_t imageSizeY, double mean, double range, std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns outputImage.
// Function prototype.
random_image_2d( output_type = RandomImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
                 image_size_x = 1024,
                 image_size_y = 1024,
                 mean = 80,
                 range = 10,
                 output_image = None )
This function returns outputImage.
// Function prototype.
public static IOLink.ImageView
RandomImage2d( RandomImage2d.OutputType outputType = ImageDev.RandomImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
               Int32 imageSizeX = 1024,
               Int32 imageSizeY = 1024,
               double mean = 80,
               double range = 10,
               IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Class Name RandomImage2d

Parameter Name Description Type Supported Values Default Value
input
imageSizeX
The X size in pixels of the output image. Int32 >=1 1024
input
imageSizeY
The Y size in pixels of the output image. Int32 >=1 1024
input
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
input
mean
The mean intensity of the output distribution. Float64 Any value 80
input
range
The intensity range of the output distribution. Float64 >0 10
output
outputImage
The output image. Image nullptr

Object Examples


RandomImage2d randomImage2dAlgo;
randomImage2dAlgo.setOutputType( RandomImage2d::OutputType::UNSIGNED_INTEGER_8_BIT );
randomImage2dAlgo.setImageSizeX( 256 );
randomImage2dAlgo.setImageSizeY( 256 );
randomImage2dAlgo.setMean( 80.0 );
randomImage2dAlgo.setRange( 10.0 );
randomImage2dAlgo.execute();

std::cout << "outputImage:" << randomImage2dAlgo.outputImage()->toString();

random_image_2d_algo = imagedev.RandomImage2d()
random_image_2d_algo.output_type = imagedev.RandomImage2d.UNSIGNED_INTEGER_8_BIT
random_image_2d_algo.image_size_x = 256
random_image_2d_algo.image_size_y = 256
random_image_2d_algo.mean = 80.0
random_image_2d_algo.range = 10.0
random_image_2d_algo.execute()

print( "output_image:", str( random_image_2d_algo.output_image ) )

RandomImage2d randomImage2dAlgo = new RandomImage2d
{
    outputType = RandomImage2d.OutputType.UNSIGNED_INTEGER_8_BIT,
    imageSizeX = 256,
    imageSizeY = 256,
    mean = 80.0,
    range = 10.0
};
randomImage2dAlgo.Execute();

Console.WriteLine( "outputImage:" + randomImage2dAlgo.outputImage.ToString() );

Function Examples


auto result = randomImage2d( RandomImage2d::OutputType::UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 10.0 );

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

result = imagedev.random_image_2d( imagedev.RandomImage2d.UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 10.0 )

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

IOLink.ImageView result = Processing.RandomImage2d( RandomImage2d.OutputType.UNSIGNED_INTEGER_8_BIT, 256, 256, 80.0, 10.0 );

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