ImageDev

ClosingByReconstruction2d

Performs a two-dimensional closing by reconstruction with a structuring element matching with a square.

Access to parameter description

A closing by reconstruction consists in applying a dilation followed by a morphological reconstruction. In the binary case, closing by reconstruction can be used for filling small holes without modifying edges of the large ones. In the grayscale case, opening by reconstruction can be used for performing a Top Hat by reconstruction for detecting dark small structures without getting artifacts from the boundary concavities of large structures.

<b> (a) </b>
(a)
<b> (b) </b>
(b)
<b> (c) </b>
(c)
Figure 1. Top Hat using closing by reconstruction: (a) Grayscale CT image with simulated porosities,
(b) porosity detection with a classic top-hat, (c) porosity detection with a top-hat by reconstruction


See also

Function Syntax

This function returns outputImage.
// Function prototype
std::shared_ptr< iolink::ImageView > closingByReconstruction2d( std::shared_ptr< iolink::ImageView > inputImage, uint32_t kernelRadius, ClosingByReconstruction2d::Neighborhood neighborhood, std::shared_ptr< iolink::ImageView > outputImage = nullptr );
This function returns outputImage.
// Function prototype.
closing_by_reconstruction_2d(input_image: idt.ImageType,
                             kernel_radius: int = 3,
                             neighborhood: ClosingByReconstruction2d.Neighborhood = ClosingByReconstruction2d.Neighborhood.CONNECTIVITY_8,
                             output_image: idt.ImageType = None) -> idt.ImageType
This function returns outputImage.
// Function prototype.
public static IOLink.ImageView
ClosingByReconstruction2d( IOLink.ImageView inputImage,
                           UInt32 kernelRadius = 3,
                           ClosingByReconstruction2d.Neighborhood neighborhood = ImageDev.ClosingByReconstruction2d.Neighborhood.CONNECTIVITY_8,
                           IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Binary, Label or Grayscale nullptr
input
kernelRadius
The number of iterations (the half size of the structuring element, in pixels). A square structuring element always has an odd side length (3x3, 5x5, etc.) which is defined by twice the kernel radius + 1. UInt32 >=1 3
input
neighborhood
The 2D neighborhood configuration for performing dilations or erosions.
CONNECTIVITY_4 The structuring element is a cross.
CONNECTIVITY_8 The structuring element is a square.
Enumeration CONNECTIVITY_8
output
outputImage
The output image. Its dimensions and type are forced to the same values as the input image. Image nullptr
Parameter Name Description Type Supported Values Default Value
input
input_image
The input image. image Binary, Label or Grayscale None
input
kernel_radius
The number of iterations (the half size of the structuring element, in pixels). A square structuring element always has an odd side length (3x3, 5x5, etc.) which is defined by twice the kernel radius + 1. uint32 >=1 3
input
neighborhood
The 2D neighborhood configuration for performing dilations or erosions.
CONNECTIVITY_4 The structuring element is a cross.
CONNECTIVITY_8 The structuring element is a square.
enumeration CONNECTIVITY_8
output
output_image
The output image. Its dimensions and type are forced to the same values as the input image. image None
Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Binary, Label or Grayscale null
input
kernelRadius
The number of iterations (the half size of the structuring element, in pixels). A square structuring element always has an odd side length (3x3, 5x5, etc.) which is defined by twice the kernel radius + 1. UInt32 >=1 3
input
neighborhood
The 2D neighborhood configuration for performing dilations or erosions.
CONNECTIVITY_4 The structuring element is a cross.
CONNECTIVITY_8 The structuring element is a square.
Enumeration CONNECTIVITY_8
output
outputImage
The output image. Its dimensions and type are forced to the same values as the input image. Image null

Object Examples

auto polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );

ClosingByReconstruction2d closingByReconstruction2dAlgo;
closingByReconstruction2dAlgo.setInputImage( polystyrene );
closingByReconstruction2dAlgo.setKernelRadius( 3 );
closingByReconstruction2dAlgo.setNeighborhood( ClosingByReconstruction2d::Neighborhood::CONNECTIVITY_8 );
closingByReconstruction2dAlgo.execute();

std::cout << "outputImage:" << closingByReconstruction2dAlgo.outputImage()->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))

closing_by_reconstruction_2d_algo = imagedev.ClosingByReconstruction2d()
closing_by_reconstruction_2d_algo.input_image = polystyrene
closing_by_reconstruction_2d_algo.kernel_radius = 3
closing_by_reconstruction_2d_algo.neighborhood = imagedev.ClosingByReconstruction2d.CONNECTIVITY_8
closing_by_reconstruction_2d_algo.execute()

print("output_image:", str(closing_by_reconstruction_2d_algo.output_image))
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" );

ClosingByReconstruction2d closingByReconstruction2dAlgo = new ClosingByReconstruction2d
{
    inputImage = polystyrene,
    kernelRadius = 3,
    neighborhood = ClosingByReconstruction2d.Neighborhood.CONNECTIVITY_8
};
closingByReconstruction2dAlgo.Execute();

Console.WriteLine( "outputImage:" + closingByReconstruction2dAlgo.outputImage.ToString() );

Function Examples

auto polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );

auto result = closingByReconstruction2d( polystyrene, 3, ClosingByReconstruction2d::Neighborhood::CONNECTIVITY_8 );

std::cout << "outputImage:" << result->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))

result = imagedev.closing_by_reconstruction_2d(polystyrene, 3, imagedev.ClosingByReconstruction2d.CONNECTIVITY_8)

print("output_image:", str(result))
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" );

IOLink.ImageView result = Processing.ClosingByReconstruction2d( polystyrene, 3, ClosingByReconstruction2d.Neighborhood.CONNECTIVITY_8 );

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