Labeling3d

Assigns a same label to each connected component of a three-dimensional binary or label image.

Access to parameter description

This algorithm scans the input 3D image from the first to the last XY slice and each slice from top to bottom and left to right.
Each voxel of the same connected component (or object) takes the same value, and each object is assigned to a different value, starting from value 1. The assigned gray level (or label) depends on the location of the object in the image. The maximum gray level value gives the total number of objects in the original binary or label image, which means that all objects have consecutive indices.

A label image may be 8, 16 or 32 bits per pixel.
By default the output image type is defined by the labelType parameter, but if the number of labels exceeds its capacity, then the output image is automatically converted to the upper type to be able to manage the number of labels. To optimize the computation, it is important to select a relevant type for the output. Selecting an 8-bit type for an image containing more than 65535 objects will produce the expected result, but will compute it in much more time than by selecting a 32-bit output type directly.

The type of connectivity to define the connected components is managed by the neighborhood parameter.

See also

• Thresholding
• ReorderLabels
• LabelAnalysis
• Labeling2d

// Function prototype.
std::shared_ptr< iolink::ImageView >
labeling3d( std::shared_ptr< iolink::ImageView > inputObjectImage,
            Labeling3d::LabelType labelType,
            Labeling3d::Neighborhood neighborhood,
            std::shared_ptr< iolink::ImageView > outputLabelImage = NULL );

// Function prototype.
labeling_3d( input_object_image,
             label_type = Labeling3d.LabelType.LABEL_16_BIT,
             neighborhood = Labeling3d.Neighborhood.CONNECTIVITY_26,
             output_label_image = None )

// Function prototype.
public static IOLink.ImageView
Labeling3d( IOLink.ImageView inputObjectImage,
            Labeling3d.LabelType labelType = ImageDev.Labeling3d.LabelType.LABEL_16_BIT,
            Labeling3d.Neighborhood neighborhood = ImageDev.Labeling3d.Neighborhood.CONNECTIVITY_26,
            IOLink.ImageView outputLabelImage = null );

// Command constructor.
Labeling3d();

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

// Get method of the labelType parameter.
Labeling3d::LabelType labelType() const;
// Set method of the labelType parameter.
void setLabelType( const Labeling3d::LabelType& labelType );

// Get method of the neighborhood parameter.
Labeling3d::Neighborhood neighborhood() const;
// Set method of the neighborhood parameter.
void setNeighborhood( const Labeling3d::Neighborhood& neighborhood );

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

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

// Property of the inputObjectImage parameter.
Labeling3d.input_object_image
// Property of the labelType parameter.
Labeling3d.label_type
// Property of the neighborhood parameter.
Labeling3d.neighborhood
// Property of the outputLabelImage parameter.
Labeling3d.output_label_image

// Method to launch the command.
execute()

// Command constructor.
Labeling3d()

// Property of the inputObjectImage parameter.
Labeling3d.inputObjectImage
// Property of the labelType parameter.
Labeling3d.labelType
// Property of the neighborhood parameter.
Labeling3d.neighborhood
// Property of the outputLabelImage parameter.
Labeling3d.outputLabelImage

// Method to launch the command.
Execute()

auto foam_sep = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam_sep.vip" );

Labeling3d labeling3dAlgo;
labeling3dAlgo.setInputObjectImage( foam_sep );
labeling3dAlgo.setLabelType( Labeling3d::LabelType::LABEL_8_BIT );
labeling3dAlgo.setNeighborhood( Labeling3d::Neighborhood::CONNECTIVITY_26 );
labeling3dAlgo.execute();

std::cout << "outputLabelImage:" << labeling3dAlgo.outputLabelImage()->toString();

foam_sep = imagedev.read_vip_image(imagedev_data.get_image_path("foam_sep.vip"))

labeling_3d_algo = imagedev.Labeling3d()
labeling_3d_algo.input_object_image = foam_sep
labeling_3d_algo.label_type = imagedev.Labeling3d.LABEL_8_BIT
labeling_3d_algo.neighborhood = imagedev.Labeling3d.CONNECTIVITY_26
labeling_3d_algo.execute()

print( "output_label_image:", str( labeling_3d_algo.output_label_image ) );

ImageView foam_sep = Data.ReadVipImage( @"Data/images/foam_sep.vip" );

Labeling3d labeling3dAlgo = new Labeling3d
{
    inputObjectImage = foam_sep,
    labelType = Labeling3d.LabelType.LABEL_8_BIT,
    neighborhood = Labeling3d.Neighborhood.CONNECTIVITY_26
};
labeling3dAlgo.Execute();

Console.WriteLine( "outputLabelImage:" + labeling3dAlgo.outputLabelImage.ToString() );

auto foam_sep = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam_sep.vip" );

auto result = labeling3d( foam_sep, Labeling3d::LabelType::LABEL_8_BIT, Labeling3d::Neighborhood::CONNECTIVITY_26 );

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

foam_sep = imagedev.read_vip_image(imagedev_data.get_image_path("foam_sep.vip"))

result = imagedev.labeling_3d( foam_sep, imagedev.Labeling3d.LABEL_8_BIT, imagedev.Labeling3d.CONNECTIVITY_26 )

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

ImageView foam_sep = Data.ReadVipImage( @"Data/images/foam_sep.vip" );

IOLink.ImageView result = Processing.Labeling3d( foam_sep, Labeling3d.LabelType.LABEL_8_BIT, Labeling3d.Neighborhood.CONNECTIVITY_26 );

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