ImageDev

SelectiveDilation3d

Dilates objects of a three-dimensional binary image conditionally to a local constraint.

Access to parameter description

For an introduction: This algorithm can be applied only on binary images. It is performed iteratively and at each step a background voxel is transformed into a foreground voxel if the number of foreground voxels in its 26-neighborhood is greater than or equal to a specified threshold.
Using a threshold of 1 amounts to applying a standard morphological dilation.

This operator is smoother than a standard dilation, and softens the appearance of the structuring element in the filtered image.

See also

Function Syntax

This function returns outputBinaryImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
selectiveDilation3d( std::shared_ptr< iolink::ImageView > inputBinaryImage,
                     uint32_t numberOfIterations,
                     uint32_t threshold,
                     std::shared_ptr< iolink::ImageView > outputBinaryImage = nullptr );
This function returns outputBinaryImage. 
// Function prototype.
selective_dilation_3d(input_binary_image: idt.ImageType,
                      number_of_iterations: int = 3,
                      threshold: int = 14,
                      output_binary_image: idt.ImageType = None) -> idt.ImageType
This function returns outputBinaryImage. 
// Function prototype.
public static IOLink.ImageView
SelectiveDilation3d( IOLink.ImageView inputBinaryImage,
                     UInt32 numberOfIterations = 3,
                     UInt32 threshold = 14,
                     IOLink.ImageView outputBinaryImage = null );

Class Syntax

Parameters

Parameter Name Description Type Supported Values Default Value
input
inputBinaryImage
The binary input image. Image Binary nullptr
input
numberOfIterations
The number of iterations. UInt32 >=1 3
input
threshold
The minimum number of foreground neighbors that is required to transform a background pixel into a background one. UInt32 [1, 26] 14
output
outputBinaryImage
The binary output image. Its size and type are forced to the same values as the input. Image nullptr
Parameter Name Description Type Supported Values Default Value
input
input_binary_image
The binary input image. image Binary None
input
number_of_iterations
The number of iterations. uint32 >=1 3
input
threshold
The minimum number of foreground neighbors that is required to transform a background pixel into a background one. uint32 [1, 26] 14
output
output_binary_image
The binary output image. Its size and type are forced to the same values as the input. image None
Parameter Name Description Type Supported Values Default Value
input
inputBinaryImage
The binary input image. Image Binary null
input
numberOfIterations
The number of iterations. UInt32 >=1 3
input
threshold
The minimum number of foreground neighbors that is required to transform a background pixel into a background one. UInt32 [1, 26] 14
output
outputBinaryImage
The binary output image. Its size and type are forced to the same values as the input. Image null

Object Examples

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

SelectiveDilation3d selectiveDilation3dAlgo;
selectiveDilation3dAlgo.setInputBinaryImage( foam_sep );
selectiveDilation3dAlgo.setNumberOfIterations( 3 );
selectiveDilation3dAlgo.setThreshold( 14 );
selectiveDilation3dAlgo.execute();

std::cout << "outputBinaryImage:" << selectiveDilation3dAlgo.outputBinaryImage()->toString();

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

selective_dilation_3d_algo = imagedev.SelectiveDilation3d()
selective_dilation_3d_algo.input_binary_image = foam_sep
selective_dilation_3d_algo.number_of_iterations = 3
selective_dilation_3d_algo.threshold = 14
selective_dilation_3d_algo.execute()

print("output_binary_image:", str(selective_dilation_3d_algo.output_binary_image))

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

SelectiveDilation3d selectiveDilation3dAlgo = new SelectiveDilation3d
{
    inputBinaryImage = foam_sep,
    numberOfIterations = 3,
    threshold = 14
};
selectiveDilation3dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + selectiveDilation3dAlgo.outputBinaryImage.ToString() );

Function Examples

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

auto result = selectiveDilation3d( foam_sep, 3, 14 );

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

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

result = imagedev.selective_dilation_3d(foam_sep, 3, 14)

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

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

IOLink.ImageView result = Processing.SelectiveDilation3d( foam_sep, 3, 14 );

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