ImageDev

SelectiveOpening3d

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

Access to parameter description

For an introduction: This algorithm successively runs a SelectiveErosion3d and a SelectiveDilation3d with the same kernel and threshold.
It can be applied only on binary images. Using a threshold of 1 amounts to applying a standard morphological opening.
This operator is smoother than the classic opening, and softens the appearance of the structuring element in the filtered image.

See also

Function Syntax

This function returns the outputBinaryImage output parameter. 
// Function prototype.
std::shared_ptr< iolink::ImageView >
selectiveOpening3d( std::shared_ptr< iolink::ImageView > inputBinaryImage,
                    uint32_t numberOfIterations,
                    uint32_t threshold,
                    std::shared_ptr< iolink::ImageView > outputBinaryImage = NULL );
This function returns the outputBinaryImage output parameter. 
// Function prototype.
selective_opening_3d( input_binary_image,
                      number_of_iterations = 3,
                      threshold = 14,
                      output_binary_image = None )
This function returns the outputBinaryImage output parameter. 
// Function prototype.
public static IOLink.ImageView
SelectiveOpening3d( IOLink.ImageView inputBinaryImage,
                    UInt32 numberOfIterations = 3,
                    UInt32 threshold = 14,
                    IOLink.ImageView outputBinaryImage = null );

Class Syntax

Parameters

Class Name SelectiveOpening3d

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 neighbors that is required to transform a pixel. 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

Object Examples

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

SelectiveOpening3d selectiveOpening3dAlgo;
selectiveOpening3dAlgo.setInputBinaryImage( foam_sep );
selectiveOpening3dAlgo.setNumberOfIterations( 3 );
selectiveOpening3dAlgo.setThreshold( 14 );
selectiveOpening3dAlgo.execute();

std::cout << "outputBinaryImage:" << selectiveOpening3dAlgo.outputBinaryImage()->toString();

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

selective_opening_3d_algo = imagedev.SelectiveOpening3d()
selective_opening_3d_algo.input_binary_image = foam_sep
selective_opening_3d_algo.number_of_iterations = 3
selective_opening_3d_algo.threshold = 14
selective_opening_3d_algo.execute()

print( "output_binary_image:", str( selective_opening_3d_algo.output_binary_image ) );

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

SelectiveOpening3d selectiveOpening3dAlgo = new SelectiveOpening3d
{
    inputBinaryImage = foam_sep,
    numberOfIterations = 3,
    threshold = 14
};
selectiveOpening3dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + selectiveOpening3dAlgo.outputBinaryImage.ToString() );

Function Examples

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

auto result = selectiveOpening3d( 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_opening_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.SelectiveOpening3d( foam_sep, 3, 14 );

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