ImageDev

BinarySmoothing2d

Transforms a binary two-dimensional image into another binary image with respect to the real local mean of each pixel neighborhood.

Access to parameter description

This algorithm computes a binary smoothing using a specified window size.
It consists of a two step procedure: Note: the binary smoothing does not preserve the topology of objects.

<b> (a) </b>
(a)
<b> (b) </b>
(b)
<b> (c) </b>
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Figure 1. Effects of the binary smoothing algorithm: (a) original grayscale image,@Br (b) binary image after thresholding, (c) result of a binary smoothing using a 9x9 window

See also

Function Syntax

This function returns the outputBinaryImage output parameter. 
// Function prototype.
std::shared_ptr< iolink::ImageView >
binarySmoothing2d( std::shared_ptr< iolink::ImageView > inputBinaryImage,
                   int32_t kernelRadiusX,
                   int32_t kernelRadiusY,
                   double threshold,
                   std::shared_ptr< iolink::ImageView > outputBinaryImage = NULL );
This function returns the outputBinaryImage output parameter. 
// Function prototype.
binary_smoothing_2d( input_binary_image,
                     kernel_radius_x = 3,
                     kernel_radius_y = 3,
                     threshold = 0.5,
                     output_binary_image = None )
This function returns the outputBinaryImage output parameter. 
// Function prototype.
public static IOLink.ImageView
BinarySmoothing2d( IOLink.ImageView inputBinaryImage,
                   Int32 kernelRadiusX = 3,
                   Int32 kernelRadiusY = 3,
                   double threshold = 0.5,
                   IOLink.ImageView outputBinaryImage = null );

Class Syntax

Parameters

Class Name BinarySmoothing2d

Parameter Name Description Type Supported Values Default Value
input
inputBinaryImage
The input binary image. Image Binary nullptr
input
kernelRadiusX
The horizontal kernel size in pixels. Int32 >=1 3
input
kernelRadiusY
The vertical kernel size in pixels. Int32 >=1 3
input
threshold
The threshold value applied to the local mean (the minimum volume fraction in the window to set a pixel to 1). Float64 ]0, 1] 0.5
output
outputBinaryImage
The output binary image. Its dimensions and type are forced to the same values as the input. Image nullptr

Object Examples

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

BinarySmoothing2d binarySmoothing2dAlgo;
binarySmoothing2dAlgo.setInputBinaryImage( polystyrene_sep );
binarySmoothing2dAlgo.setKernelRadiusX( 3 );
binarySmoothing2dAlgo.setKernelRadiusY( 3 );
binarySmoothing2dAlgo.setThreshold( 0.5 );
binarySmoothing2dAlgo.execute();

std::cout << "outputBinaryImage:" << binarySmoothing2dAlgo.outputBinaryImage()->toString();

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

binary_smoothing_2d_algo = imagedev.BinarySmoothing2d()
binary_smoothing_2d_algo.input_binary_image = polystyrene_sep
binary_smoothing_2d_algo.kernel_radius_x = 3
binary_smoothing_2d_algo.kernel_radius_y = 3
binary_smoothing_2d_algo.threshold = 0.5
binary_smoothing_2d_algo.execute()

print( "output_binary_image:", str( binary_smoothing_2d_algo.output_binary_image ) )

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

BinarySmoothing2d binarySmoothing2dAlgo = new BinarySmoothing2d
{
    inputBinaryImage = polystyrene_sep,
    kernelRadiusX = 3,
    kernelRadiusY = 3,
    threshold = 0.5
};
binarySmoothing2dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + binarySmoothing2dAlgo.outputBinaryImage.ToString() );

Function Examples

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

auto result = binarySmoothing2d( polystyrene_sep, 3, 3, 0.5 );

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

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

result = imagedev.binary_smoothing_2d( polystyrene_sep, 3, 3, 0.5 )

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

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

IOLink.ImageView result = Processing.BinarySmoothing2d( polystyrene_sep, 3, 3, 0.5 );

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