ImageDev

FilterAnalysis

Filters objects from an analysis object.

Access to parameter description

For an introduction: This algorithm applies a filter formula to an anlaysis object and generates the result in a new analysis object.

The input filter contains the criteria to preserve objects from the input label image. These criteria are defined by one or several analysis measurements ranges.

If the label image used to generate the input analysis had a coordinate system unit defined in its calibration property, the filter limit values and analysis results are expressed in this coordinate system unit.

See also

Function Syntax

This function returns the outputAnalysis output parameter. 
// Function prototype.
AnalysisMsr::Ptr
filterAnalysis( AnalysisMsr::Ptr inputAnalysis,
                std::string inputFilter,
                AnalysisMsr::Ptr outputAnalysis = NULL );
This function returns the outputAnalysis output parameter. 
// Function prototype.
filter_analysis( input_analysis = None, input_filter = "", output_analysis = None )
This function returns the outputAnalysis output parameter. 
// Function prototype.
public static AnalysisMsr
FilterAnalysis( AnalysisMsr inputAnalysis = null,
                string inputFilter = "",
                AnalysisMsr outputAnalysis = null );

Class Syntax

Parameters

Class Name FilterAnalysis

Parameter Name Description Type Supported Values Default Value
input
inputAnalysis
The input analysis. AnalysisMsr nullptr
input
inputFilter
The input filter formula.
The Label Filtering section details how to create a filter. 		Filter ""
output
outputAnalysis
The output analysis. AnalysisMsr nullptr

Object Examples

AnalysisMsr::Ptr analysis_filled= AnalysisMsr::read( std::string( IMAGEDEVDATA_OBJECTS_FOLDER ) + "analysis_filled.vip" );

FilterAnalysis filterAnalysisAlgo;
filterAnalysisAlgo.setInputAnalysis( analysis_filled );
filterAnalysisAlgo.setInputFilter( "Area>=3000" );
filterAnalysisAlgo.execute();

std::cout << "Area2d: " << filterAnalysisAlgo.outputAnalysis()->get( NativeMeasurements::area2d )->value( 0 ) ;

analysis_filled = imagedev.AnalysisMsr.read(imagedev_data.get_object_path("analysis_filled.vip"))

filter_analysis_algo = imagedev.FilterAnalysis()
filter_analysis_algo.input_analysis = analysis_filled
filter_analysis_algo.input_filter = "Area>=3000"
filter_analysis_algo.execute()

print( 
print("Area2d: ", filter_analysis_algo.output_analysis.get(imagedev.native_measurements.Area2d).value( 0 ) ) );

AnalysisMsr analysis_filled = AnalysisMsr.Read( @"Data/objects/analysis_filled.vip" );

FilterAnalysis filterAnalysisAlgo = new FilterAnalysis
{
    inputAnalysis = analysis_filled,
    inputFilter = "Area>=3000"
};
filterAnalysisAlgo.Execute();

Console.WriteLine( "Area2d: " + filterAnalysisAlgo.outputAnalysis.Get( NativeMeasurements.Area2d ).Value( 0 ) );

Function Examples

AnalysisMsr::Ptr analysis_filled= AnalysisMsr::read( std::string( IMAGEDEVDATA_OBJECTS_FOLDER ) + "analysis_filled.vip" );

auto result = filterAnalysis( analysis_filled, "Area>=3000" );

std::cout << "Area2d: " << result->get( NativeMeasurements::area2d )->value( 0 ) ;

analysis_filled = imagedev.AnalysisMsr.read(imagedev_data.get_object_path("analysis_filled.vip"))

result = imagedev.filter_analysis( analysis_filled, "Area>=3000" )

print( "Area2d: ", result.get(imagedev.native_measurements.Area2d).value( 0 ) );

AnalysisMsr analysis_filled = AnalysisMsr.Read( @"Data/objects/analysis_filled.vip" );

AnalysisMsr result = Processing.FilterAnalysis( analysis_filled, "Area>=3000" );

Console.WriteLine(  "Area2d: " + result.Get( NativeMeasurements.Area2d ).Value( 0 )  );