ImageDev

RandomSphereImage3d

Creates synthetic spheres in a binary image.

Access to parameter description

The RandomSphereImage3d algorithm creates a binary image containing a random distribution of spheres. The sphere radius range, distance, type of distribution, and number are parameters of the algorithm.

The following image is an example of the result with the default parameters:

<b>Figure 1.</b> Generation of 5 spheres
Figure 1. Generation of 5 spheres


See also

Function Syntax

This function returns outputBinaryImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
randomSphereImage3d( iolink::Vector3i32 imageSize,
                     int32_t sphereNumber,
                     RandomSphereImage3d::Distribution distribution,
                     iolink::Vector2i32 radiusRange,
                     int32_t distance,
                     std::shared_ptr< iolink::ImageView > outputBinaryImage = nullptr );
This function returns outputBinaryImage. 
// Function prototype.
random_sphere_image_3d(image_size: Iterable[int] = [100, 100, 100],
                       sphere_number: int = 5,
                       distribution: RandomSphereImage3d.Distribution = RandomSphereImage3d.Distribution.UNIFORM,
                       radius_range: Iterable[int] = [10, 20],
                       distance: int = 40,
                       output_binary_image: idt.ImageType = None) -> idt.ImageType
This function returns outputBinaryImage. 
// Function prototype.
public static IOLink.ImageView
RandomSphereImage3d( int[] imageSize = null,
                     Int32 sphereNumber = 5,
                     RandomSphereImage3d.Distribution distribution = ImageDev.RandomSphereImage3d.Distribution.UNIFORM,
                     int[] radiusRange = null,
                     Int32 distance = 40,
                     IOLink.ImageView outputBinaryImage = null );

Class Syntax

Parameters

Parameter Name Description Type Supported Values Default Value
input
imageSize
The X, Y, and Z size in voxels of the output image. Vector3i32 >0 {100, 100, 100}
input
sphereNumber
The number of spheres to generate. Int32 >=1 5
input
distribution
The distribution type of the sphere radii.
UNIFORM The radius distribution is uniform (each radius of the range has an equiprobability to occur).
GAUSSIAN The radius distribution is Gaussian (the mean radius of the range is much more represented than the minimum and maximum radii).
Enumeration UNIFORM
input
radiusRange
The minimum and maximum radius in voxels of the spheres (for Uniform distribution) or mean and standard deviation (for gaussian distribution). Vector2i32 Any value {10, 20}
input
distance
The minimum distance between two sphere centers. Int32 >=0 40
output
outputBinaryImage
The output 3D binary image. Image nullptr
Parameter Name Description Type Supported Values Default Value
input
image_size
The X, Y, and Z size in voxels of the output image. vector3i32 >0 [100, 100, 100]
input
sphere_number
The number of spheres to generate. int32 >=1 5
input
distribution
The distribution type of the sphere radii.
UNIFORM The radius distribution is uniform (each radius of the range has an equiprobability to occur).
GAUSSIAN The radius distribution is Gaussian (the mean radius of the range is much more represented than the minimum and maximum radii).
enumeration UNIFORM
input
radius_range
The minimum and maximum radius in voxels of the spheres (for Uniform distribution) or mean and standard deviation (for gaussian distribution). vector2i32 Any value [10, 20]
input
distance
The minimum distance between two sphere centers. int32 >=0 40
output
output_binary_image
The output 3D binary image. image None
Parameter Name Description Type Supported Values Default Value
input
imageSize
The X, Y, and Z size in voxels of the output image. Vector3i32 >0 {100, 100, 100}
input
sphereNumber
The number of spheres to generate. Int32 >=1 5
input
distribution
The distribution type of the sphere radii.
UNIFORM The radius distribution is uniform (each radius of the range has an equiprobability to occur).
GAUSSIAN The radius distribution is Gaussian (the mean radius of the range is much more represented than the minimum and maximum radii).
Enumeration UNIFORM
input
radiusRange
The minimum and maximum radius in voxels of the spheres (for Uniform distribution) or mean and standard deviation (for gaussian distribution). Vector2i32 Any value {10, 20}
input
distance
The minimum distance between two sphere centers. Int32 >=0 40
output
outputBinaryImage
The output 3D binary image. Image null

Object Examples


RandomSphereImage3d randomSphereImage3dAlgo;
randomSphereImage3dAlgo.setImageSize( {100, 100, 100} );
randomSphereImage3dAlgo.setSphereNumber( 5 );
randomSphereImage3dAlgo.setDistribution( RandomSphereImage3d::Distribution::UNIFORM );
randomSphereImage3dAlgo.setRadiusRange( {10, 20} );
randomSphereImage3dAlgo.setDistance( 40 );
randomSphereImage3dAlgo.execute();

std::cout << "outputBinaryImage:" << randomSphereImage3dAlgo.outputBinaryImage()->toString();


random_sphere_image_3d_algo = imagedev.RandomSphereImage3d()
random_sphere_image_3d_algo.image_size = [100, 100, 100]
random_sphere_image_3d_algo.sphere_number = 5
random_sphere_image_3d_algo.distribution = imagedev.RandomSphereImage3d.UNIFORM
random_sphere_image_3d_algo.radius_range = [10, 20]
random_sphere_image_3d_algo.distance = 40
random_sphere_image_3d_algo.execute()

print("output_binary_image:", str(random_sphere_image_3d_algo.output_binary_image))


RandomSphereImage3d randomSphereImage3dAlgo = new RandomSphereImage3d
{
    imageSize = new int[]{100, 100, 100},
    sphereNumber = 5,
    distribution = RandomSphereImage3d.Distribution.UNIFORM,
    radiusRange = new int[]{10, 20},
    distance = 40
};
randomSphereImage3dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + randomSphereImage3dAlgo.outputBinaryImage.ToString() );

Function Examples


auto result = randomSphereImage3d( {100, 100, 100}, 5, RandomSphereImage3d::Distribution::UNIFORM, {10, 20}, 40 );

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


result = imagedev.random_sphere_image_3d([100, 100, 100], 5, imagedev.RandomSphereImage3d.UNIFORM, [10, 20], 40)

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


IOLink.ImageView result = Processing.RandomSphereImage3d( new int[]{100, 100, 100}, 5, RandomSphereImage3d.Distribution.UNIFORM, new int[]{10, 20}, 40 );

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