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 );
Class Syntax
Parameters
| 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 ) ;
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 ) ;