Dilation3d
Performs a three-dimensional dilation using a structuring element matching with a full or partial cube.
Access to parameter description
For an introduction:
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
See also
Access to parameter description
For an introduction:
- section Mathematical Morphology
- section Introduction To Dilation
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
Function Syntax
This function returns the outputImage output parameter.
// Function prototype. std::shared_ptr< iolink::ImageView > dilation3d( std::shared_ptr< iolink::ImageView > inputImage, uint32_t kernelRadius, Dilation3d::Neighborhood neighborhood, std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns the outputImage output parameter.
// Function prototype. dilation_3d( input_image, kernel_radius = 3, neighborhood = Dilation3d.Neighborhood.CONNECTIVITY_26, output_image = None )
This function returns the outputImage output parameter.
// Function prototype. public static IOLink.ImageView Dilation3d( IOLink.ImageView inputImage, UInt32 kernelRadius = 3, Dilation3d.Neighborhood neighborhood = ImageDev.Dilation3d.Neighborhood.CONNECTIVITY_26, IOLink.ImageView outputImage = null );
Class Syntax
Parameters
Class Name | Dilation3d |
---|
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 | |||||||
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 |
Object Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); Dilation3d dilation3dAlgo; dilation3dAlgo.setInputImage( foam ); dilation3dAlgo.setKernelRadius( 3 ); dilation3dAlgo.setNeighborhood( Dilation3d::Neighborhood::CONNECTIVITY_26 ); dilation3dAlgo.execute(); std::cout << "outputImage:" << dilation3dAlgo.outputImage()->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) dilation_3d_algo = imagedev.Dilation3d() dilation_3d_algo.input_image = foam dilation_3d_algo.kernel_radius = 3 dilation_3d_algo.neighborhood = imagedev.Dilation3d.CONNECTIVITY_26 dilation_3d_algo.execute() print( "output_image:", str( dilation_3d_algo.output_image ) );
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); Dilation3d dilation3dAlgo = new Dilation3d { inputImage = foam, kernelRadius = 3, neighborhood = Dilation3d.Neighborhood.CONNECTIVITY_26 }; dilation3dAlgo.Execute(); Console.WriteLine( "outputImage:" + dilation3dAlgo.outputImage.ToString() );
Function Examples
auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" ); auto result = dilation3d( foam, 3, Dilation3d::Neighborhood::CONNECTIVITY_26 ); std::cout << "outputImage:" << result->toString();
foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip")) result = imagedev.dilation_3d( foam, 3, imagedev.Dilation3d.CONNECTIVITY_26 ) print( "output_image:", str( result ) );
ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" ); IOLink.ImageView result = Processing.Dilation3d( foam, 3, Dilation3d.Neighborhood.CONNECTIVITY_26 ); Console.WriteLine( "outputImage:" + result.ToString() );