Closing3d
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:
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.
Figure 1. Structuring elements: 6, 18 and 26 neighbors
With a classic implementation, morphological closing systematically considers areas out of the image as a replication of the image borders at each step of the algorithm. Therefore, when applying a closing, some objects close to the image borders may be connected to the border at the dilation step and not be retro propagated after the dilation, while one would expect to keep them disconnected from the border. 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. This mode can be slower and more memory consuming, especially when the structuring element size is high.
This option is illustrated in the Closing2d documentation (Figure 2).
See also
See related example
Access to parameter description
For an introduction:
- section Mathematical Morphology
- section Introduction To Closing
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.
Figure 1. Structuring elements: 6, 18 and 26 neighbors
With a classic implementation, morphological closing systematically considers areas out of the image as a replication of the image borders at each step of the algorithm. Therefore, when applying a closing, some objects close to the image borders may be connected to the border at the dilation step and not be retro propagated after the dilation, while one would expect to keep them disconnected from the border. 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. This mode can be slower and more memory consuming, especially when the structuring element size is high.
This option is illustrated in the Closing2d documentation (Figure 2).
See also
See related example
Function Syntax
This function returns outputImage.
// Function prototype
std::shared_ptr< iolink::ImageView > closing3d( std::shared_ptr< iolink::ImageView > inputImage, uint32_t kernelRadius, Closing3d::Neighborhood neighborhood, Closing3d::BorderPolicy borderPolicy, std::shared_ptr< iolink::ImageView > outputImage = nullptr );
This function returns outputImage.
// Function prototype. closing_3d(input_image: idt.ImageType, kernel_radius: int = 3, neighborhood: Closing3d.Neighborhood = Closing3d.Neighborhood.CONNECTIVITY_26, border_policy: Closing3d.BorderPolicy = Closing3d.BorderPolicy.LIMITED, output_image: idt.ImageType = None) -> idt.ImageType
This function returns outputImage.
// Function prototype. public static IOLink.ImageView Closing3d( IOLink.ImageView inputImage, UInt32 kernelRadius = 3, Closing3d.Neighborhood neighborhood = ImageDev.Closing3d.Neighborhood.CONNECTIVITY_26, Closing3d.BorderPolicy borderPolicy = ImageDev.Closing3d.BorderPolicy.LIMITED, IOLink.ImageView outputImage = null );
Class Syntax
Parameters
Parameter Name | Description | Type | Supported Values | Default Value | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
inputImage |
The input image. The image type can be integer or float. | Image | Binary, Label, Grayscale or Multispectral | nullptr | |||||||
borderPolicy |
The border policy to apply.
|
Enumeration | LIMITED | ||||||||
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 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
Enumeration | CONNECTIVITY_26 | ||||||||
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_image |
The input image. The image type can be integer or float. | image | Binary, Label, Grayscale or Multispectral | None | |||||||
border_policy |
The border policy to apply.
|
enumeration | LIMITED | ||||||||
kernel_radius |
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 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
enumeration | CONNECTIVITY_26 | ||||||||
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 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
inputImage |
The input image. The image type can be integer or float. | Image | Binary, Label, Grayscale or Multispectral | null | |||||||
borderPolicy |
The border policy to apply.
|
Enumeration | LIMITED | ||||||||
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 | |||||||
neighborhood |
The 3D neighborhood configuration.
|
Enumeration | CONNECTIVITY_26 | ||||||||
outputImage |
The output image. Its dimensions and type are forced to the same values as the input image. | Image | null |
Object Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); Closing3d closing3dAlgo; closing3dAlgo.setInputImage( foam ); closing3dAlgo.setKernelRadius( 3 ); closing3dAlgo.setNeighborhood( Closing3d::Neighborhood::CONNECTIVITY_26 ); closing3dAlgo.setBorderPolicy( Closing3d::BorderPolicy::EXTENDED ); closing3dAlgo.execute(); std::cout << "outputImage:" << closing3dAlgo.outputImage()->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) closing_3d_algo = imagedev.Closing3d() closing_3d_algo.input_image = foam closing_3d_algo.kernel_radius = 3 closing_3d_algo.neighborhood = imagedev.Closing3d.CONNECTIVITY_26 closing_3d_algo.border_policy = imagedev.Closing3d.EXTENDED closing_3d_algo.execute() print("output_image:", str(closing_3d_algo.output_image))
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); Closing3d closing3dAlgo = new Closing3d { inputImage = foam, kernelRadius = 3, neighborhood = Closing3d.Neighborhood.CONNECTIVITY_26, borderPolicy = Closing3d.BorderPolicy.EXTENDED }; closing3dAlgo.Execute(); Console.WriteLine( "outputImage:" + closing3dAlgo.outputImage.ToString() );
Function Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); auto result = closing3d( foam, 3, Closing3d::Neighborhood::CONNECTIVITY_26, Closing3d::BorderPolicy::EXTENDED ); std::cout << "outputImage:" << result->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) result = imagedev.closing_3d(foam, 3, imagedev.Closing3d.CONNECTIVITY_26, imagedev.Closing3d.EXTENDED) print("output_image:", str(result))
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); IOLink.ImageView result = Processing.Closing3d( foam, 3, Closing3d.Neighborhood.CONNECTIVITY_26, Closing3d.BorderPolicy.EXTENDED ); Console.WriteLine( "outputImage:" + result.ToString() );