ImageDev

SelectiveDilation2d

Dilates objects of a two-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 pixel is transformed into a foreground pixel if the number of foreground pixels in its 8-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.

<b> (a) </b>
(a)
<b> (b) </b>
(b)
<b> (c) </b>
(c)
Figure 1. Selective dilation effect: (a) The binary input image,
(b) standard dilation with 3 iterations, (c) selective dilation with 3 iterations, threshold = 5

See also

Function Syntax

This function returns outputBinaryImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
selectiveDilation2d( 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_2d(input_binary_image: idt.ImageType,
                      number_of_iterations: int = 3,
                      threshold: int = 5,
                      output_binary_image: idt.ImageType = None) -> idt.ImageType
This function returns outputBinaryImage. 
// Function prototype.
public static IOLink.ImageView
SelectiveDilation2d( IOLink.ImageView inputBinaryImage,
                     UInt32 numberOfIterations = 3,
                     UInt32 threshold = 5,
                     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, 8] 5
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, 8] 5
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, 8] 5
output
outputBinaryImage
The binary output image. Its size and type are forced to the same values as the input. Image null

Object Examples

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

SelectiveDilation2d selectiveDilation2dAlgo;
selectiveDilation2dAlgo.setInputBinaryImage( polystyrene_sep );
selectiveDilation2dAlgo.setNumberOfIterations( 3 );
selectiveDilation2dAlgo.setThreshold( 5 );
selectiveDilation2dAlgo.execute();

std::cout << "outputBinaryImage:" << selectiveDilation2dAlgo.outputBinaryImage()->toString();

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

selective_dilation_2d_algo = imagedev.SelectiveDilation2d()
selective_dilation_2d_algo.input_binary_image = polystyrene_sep
selective_dilation_2d_algo.number_of_iterations = 3
selective_dilation_2d_algo.threshold = 5
selective_dilation_2d_algo.execute()

print("output_binary_image:", str(selective_dilation_2d_algo.output_binary_image))

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

SelectiveDilation2d selectiveDilation2dAlgo = new SelectiveDilation2d
{
    inputBinaryImage = polystyrene_sep,
    numberOfIterations = 3,
    threshold = 5
};
selectiveDilation2dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + selectiveDilation2dAlgo.outputBinaryImage.ToString() );

Function Examples

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

auto result = selectiveDilation2d( polystyrene_sep, 3, 5 );

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

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

result = imagedev.selective_dilation_2d(polystyrene_sep, 3, 5)

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

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

IOLink.ImageView result = Processing.SelectiveDilation2d( polystyrene_sep, 3, 5 );

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