DistanceMean2d
Gives the mean distance, edge to edge, between direct neighbor objects of a two-dimensional binary image.
Access to parameter description
For an introduction: section Image Analysis.
This algorithm calculates the distance map of the negative input image and then extracts the ridges separating the image objects.
The measured mean distance is computed as the average of twice the distance map values along this path.
See also
Access to parameter description
For an introduction: section Image Analysis.
This algorithm calculates the distance map of the negative input image and then extracts the ridges separating the image objects.
The measured mean distance is computed as the average of twice the distance map values along this path.
See also
Function Syntax
This function returns outputMeasurement.
// Function prototype
DistanceMeanMsr::Ptr distanceMean2d( std::shared_ptr< iolink::ImageView > inputBinaryImage, DistanceMeanMsr::Ptr outputMeasurement = NULL );
This function returns outputMeasurement.
// Function prototype. distance_mean_2d( input_binary_image, output_measurement = None )
This function returns outputMeasurement.
// Function prototype. public static DistanceMeanMsr DistanceMean2d( IOLink.ImageView inputBinaryImage, DistanceMeanMsr outputMeasurement = null );
Class Syntax
Parameters
| Class Name | DistanceMean2d |
|---|
| Parameter Name | Description | Type | Supported Values | Default Value | |
|---|---|---|---|---|---|
 |
inputBinaryImage |
The input binary image. | Image | Binary | nullptr |
 |
outputMeasurement |
The output measurement result. | DistanceMeanMsr | nullptr | |
Object Examples
auto polystyrene_sep = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep.vip" ); DistanceMean2d distanceMean2dAlgo; distanceMean2dAlgo.setInputBinaryImage( polystyrene_sep ); distanceMean2dAlgo.execute(); std::cout << "distance: " << distanceMean2dAlgo.outputMeasurement()->distance( 0 ) ;
polystyrene_sep = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep.vip"))
distance_mean_2d_algo = imagedev.DistanceMean2d()
distance_mean_2d_algo.input_binary_image = polystyrene_sep
distance_mean_2d_algo.execute()
print( "distance: ", str( distance_mean_2d_algo.output_measurement.distance( 0 ) ) )
ImageView polystyrene_sep = Data.ReadVipImage( @"Data/images/polystyrene_sep.vip" );
DistanceMean2d distanceMean2dAlgo = new DistanceMean2d
{
inputBinaryImage = polystyrene_sep
};
distanceMean2dAlgo.Execute();
Console.WriteLine( "distance: " + distanceMean2dAlgo.outputMeasurement.distance( 0 ) );
Function Examples
auto polystyrene_sep = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep.vip" ); auto result = distanceMean2d( polystyrene_sep ); std::cout << "distance: " << result->distance( 0 ) ;
polystyrene_sep = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep.vip"))
result = imagedev.distance_mean_2d( polystyrene_sep )
print( "distance: ", str( result.distance( 0 ) ) )
ImageView polystyrene_sep = Data.ReadVipImage( @"Data/images/polystyrene_sep.vip" ); DistanceMeanMsr result = Processing.DistanceMean2d( polystyrene_sep ); Console.WriteLine( "distance: " + result.distance( 0 ) );