LabelAnalysis
Computes a set of measurements on objects defined in a label image.
Access to parameter description
For an introduction: This algorithm computes a list of measurements for each label of the input image, and generates an output AnalysisMsr object containing the result values.
If the label input image has a coordinate system unit defined in its calibration property, analysis results are expressed in this coordinate system unit.
More details about each available measurement can be found in the NativeMeasurement object.
See also
See related examples
Access to parameter description
For an introduction: This algorithm computes a list of measurements for each label of the input image, and generates an output AnalysisMsr object containing the result values.
If the label input image has a coordinate system unit defined in its calibration property, analysis results are expressed in this coordinate system unit.
More details about each available measurement can be found in the NativeMeasurement object.
See also
See related examples
Function Syntax
This function returns the outputAnalysis output parameter.
// Function prototype.
AnalysisMsr::Ptr
labelAnalysis( std::shared_ptr< iolink::ImageView > inputLabelImage,
std::shared_ptr< iolink::ImageView > inputIntensityImage,
AnalysisMsr::Ptr outputAnalysis = NULL );
This function returns the outputAnalysis output parameter.
// Function prototype.
label_analysis( input_label_image,
input_intensity_image,
output_analysis = None )
This function returns the outputAnalysis output parameter.
// Function prototype.
public static AnalysisMsr
LabelAnalysis( IOLink.ImageView inputLabelImage,
IOLink.ImageView inputIntensityImage,
AnalysisMsr outputAnalysis = null );
Class Syntax
Parameters
| Class Name | LabelAnalysis |
|---|
| Parameter Name | Description | Type | Supported Values | Default Value | |
|---|---|---|---|---|---|
 |
inputLabelImage |
The label input image. | Image | Label | nullptr |
|
inputIntensityImage |
The intensity input image. If it equals null, the label input image will be used as the intensity input image. | Image | Binary, Label, Grayscale or Multispectral | nullptr |
 |
outputAnalysis |
The input and output analysis. This object defines the features to measure and stores the results. | AnalysisMsr | nullptr | |
Object Examples
auto polystyrene_sep_label = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep_label.vip" );
std::shared_ptr< iolink::ImageView > polystyrene =
ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );
// Creates an analysis with Area2d and InverseCircularity2d measurements
AnalysisMsr::Ptr analysis( new AnalysisMsr() );
measurements::Area2d::Ptr areaMsr = analysis->select( NativeMeasurements::area2d );
measurements::InverseCircularity2d::Ptr inverseMsr = analysis->select( NativeMeasurements::inverseCircularity2d );
LabelAnalysis labelAnalysisAlgo;
labelAnalysisAlgo.setInputLabelImage( polystyrene_sep_label );
labelAnalysisAlgo.setInputIntensityImage( polystyrene );
labelAnalysisAlgo.setOutputAnalysis( analysis );
labelAnalysisAlgo.execute();
std::cout << "Area2d: " << areaMsr->value( 0 ) << std::endl;
std::cout << "inverseCircularity2d: " << inverseMsr->value( 0 ) << std::endl;
polystyrene_sep_label = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep_label.vip"))
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))
# Creates an analysis with Area2d and InverseCircularity2d measurements
analysis = imagedev.AnalysisMsr()
analysis.select(imagedev.native_measurements.Area2d)
analysis.select(imagedev.native_measurements.InverseCircularity2d)
label_analysis_algo = imagedev.LabelAnalysis()
label_analysis_algo.input_label_image = polystyrene_sep_label
label_analysis_algo.input_intensity_image = polystyrene
label_analysis_algo.output_analysis = analysis
label_analysis_algo.execute()
print("Area2d: ", analysis.get(imagedev.native_measurements.Area2d).value( 0 ) )
print("InverseCircularity2d: ", analysis.get(imagedev.native_measurements.InverseCircularity2d).value( 0 ) )
ImageView polystyrene_sep_label = Data.ReadVipImage(@"Data\images\polystyrene_sep_label.vip");
ImageView polystyrene = ViewIO.ReadImage(@"Data\images\polystyrene.tif");
// Creates an analysis with Area2d and InverseCircularity2d measurements
AnalysisMsr analysis = new AnalysisMsr();
Measurements.Area2d areaMsr = analysis.Select(NativeMeasurements.Area2d);
Measurements.InverseCircularity2d inverseMsr = analysis.Select(NativeMeasurements.InverseCircularity2d);
LabelAnalysis labelAnalysisAlgo = new LabelAnalysis
{
inputLabelImage = polystyrene_sep_label,
inputIntensityImage = polystyrene,
outputAnalysis = analysis
};
labelAnalysisAlgo.Execute();
labelAnalysisAlgo.Dispose();
Console.WriteLine("Area2d: " + areaMsr.Value(0));
Console.WriteLine("InverseCircularity2d: " + inverseMsr.Value(0));
Function Examples
auto polystyrene_sep_label = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene_sep_label.vip" );
std::shared_ptr< iolink::ImageView > polystyrene =
ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" );
// Creates an analysis with Area2d and InverseCircularity2d measurements
AnalysisMsr::Ptr analysis( new AnalysisMsr() );
measurements::Area2d::Ptr areaMsr = analysis->select( NativeMeasurements::area2d );
measurements::InverseCircularity2d::Ptr inverseMsr = analysis->select( NativeMeasurements::inverseCircularity2d );
labelAnalysis( polystyrene_sep_label, polystyrene, analysis );
std::cout << "Area2d: " << areaMsr->value( 0 ) << std::endl;
std::cout << "inverseCircularity2d: " << inverseMsr->value( 0 ) << std::endl;
polystyrene_sep_label = imagedev.read_vip_image(imagedev_data.get_image_path("polystyrene_sep_label.vip"))
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))
# Creates an analysis with Area2d and InverseCircularity2d measurements
analysis = imagedev.AnalysisMsr()
analysis.select(imagedev.native_measurements.Area2d)
analysis.select(imagedev.native_measurements.InverseCircularity2d)
result = imagedev.label_analysis( polystyrene_sep_label, polystyrene, analysis )
print("Area2d: ", result.get(imagedev.native_measurements.Area2d).value( 0 ) )
print("InverseCircularity2d: ", result.get(imagedev.native_measurements.InverseCircularity2d).value( 0 ) )
ImageView polystyrene_sep_label = Data.ReadVipImage(@"Data\images\polystyrene_sep_label.vip");
ImageView polystyrene = ViewIO.ReadImage(@"Data\images\polystyrene.tif");
// Creates an analysis with Area2d and InverseCircularity2d measurements
AnalysisMsr analysis = new AnalysisMsr();
Measurements.Area2d areaMsr = analysis.Select(NativeMeasurements.Area2d);
Measurements.InverseCircularity2d inverseMsr = analysis.Select(NativeMeasurements.InverseCircularity2d);
Processing.LabelAnalysis(polystyrene_sep_label, polystyrene, analysis);
Console.WriteLine("Area2d: " + areaMsr.Value(0));
Console.WriteLine("InverseCircularity2d: " + inverseMsr.Value(0));