ImageDev

Opening3d

Performs a three-dimensional opening using a structuring element matching with a with a full or partial cube.

Access to parameter description

For an introduction: This algorithm successively runs an Erosion3d and a Dilation3d with the same kernel.
The kernelRadius parameter tunes the number of iterations of each operation, which sets the kernel size.
This algorithm uses a basic structuring element with 6, 18 or 26 neighbors, according to the neighborhood parameter.

<b> Figure 1.</b> Structuring elements: 6, 18 and 26 neighbors
Figure 1. Structuring elements: 6, 18 and 26 neighbors

With a classic implementation, morphological opening systematically considers areas out of the image as a replication of the image borders at each step of the algorithm. Therefore, when applying an opening, some thin object parts cut by the image borders may be removed at the erosion step and not be restored after the dilation, while one would expect to keep them. The borderPolicy parameter manages this case. The default mode, LIMITED, corresponds to the classic behavior. The EXTENDED mode properly manages image borders by extending them by a size equal to the structuring element's. Therefore, this mode can be slower and more memory consuming, especially when the structuring element size is high.
This option is illustrated in the Opening2d documentation (Figure 2).

See also

Function Syntax

This function returns outputImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
opening3d( std::shared_ptr< iolink::ImageView > inputImage,
           uint32_t kernelRadius,
           Opening3d::Neighborhood neighborhood,
           Opening3d::BorderPolicy borderPolicy,
           std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns outputImage. 
// Function prototype.
opening_3d( input_image,
            kernel_radius = 3,
            neighborhood = Opening3d.Neighborhood.CONNECTIVITY_26,
            border_policy = Opening3d.BorderPolicy.LIMITED,
            output_image = None )
This function returns outputImage. 
// Function prototype.
public static IOLink.ImageView
Opening3d( IOLink.ImageView inputImage,
           UInt32 kernelRadius = 3,
           Opening3d.Neighborhood neighborhood = ImageDev.Opening3d.Neighborhood.CONNECTIVITY_26,
           Opening3d.BorderPolicy borderPolicy = ImageDev.Opening3d.BorderPolicy.LIMITED,
           IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Class Name Opening3d

Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. The image type can be integer or float. Image Binary, Label, Grayscale or Multispectral nullptr
input
borderPolicy
The border policy to apply.
LIMITED The limited mode is faster to compute, but can produce unexpected results for particles close to the image border.
EXTENDED The Extended mode is slower to compute, but produces the expected results for particles close to the image border.
Enumeration LIMITED
input
kernelRadius
The number of iterations (the half size of the structuring element, in voxels). A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1. UInt32 >=1 3
input
neighborhood
The 3D neighborhood configuration.
CONNECTIVITY_6 The structuring element is composed of voxels with a common face with the voxel of interest.
CONNECTIVITY_18 The structuring element is composed of voxels with at least one common edge.
CONNECTIVITY_26 The structuring element is a full cube.
Enumeration CONNECTIVITY_26
output
outputImage
The output image. Its dimensions and type are forced to the same values as the input image. Image nullptr

Object Examples

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

Opening3d opening3dAlgo;
opening3dAlgo.setInputImage( foam );
opening3dAlgo.setKernelRadius( 3 );
opening3dAlgo.setNeighborhood( Opening3d::Neighborhood::CONNECTIVITY_26 );
opening3dAlgo.setBorderPolicy( Opening3d::BorderPolicy::EXTENDED );
opening3dAlgo.execute();

std::cout << "outputImage:" << opening3dAlgo.outputImage()->toString();

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

opening_3d_algo = imagedev.Opening3d()
opening_3d_algo.input_image = foam
opening_3d_algo.kernel_radius = 3
opening_3d_algo.neighborhood = imagedev.Opening3d.CONNECTIVITY_26
opening_3d_algo.border_policy = imagedev.Opening3d.EXTENDED
opening_3d_algo.execute()

print( "output_image:", str( opening_3d_algo.output_image ) )

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

Opening3d opening3dAlgo = new Opening3d
{
    inputImage = foam,
    kernelRadius = 3,
    neighborhood = Opening3d.Neighborhood.CONNECTIVITY_26,
    borderPolicy = Opening3d.BorderPolicy.EXTENDED
};
opening3dAlgo.Execute();

Console.WriteLine( "outputImage:" + opening3dAlgo.outputImage.ToString() );

Function Examples

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

auto result = opening3d( foam, 3, Opening3d::Neighborhood::CONNECTIVITY_26, Opening3d::BorderPolicy::EXTENDED );

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

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

result = imagedev.opening_3d( foam, 3, imagedev.Opening3d.CONNECTIVITY_26, imagedev.Opening3d.EXTENDED )

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

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

IOLink.ImageView result = Processing.Opening3d( foam, 3, Opening3d.Neighborhood.CONNECTIVITY_26, Opening3d.BorderPolicy.EXTENDED );

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