InertiaLambdaMin

Measure allowing to compute the minimum eigen value from the second order moment matrix computed from the Inertia2d measurement for shape. More...

Classes
class	ipsdk::imaproc::shape::analysis::InertiaLambdaMinMsr
	Measurement object for measure InertiaLambdaMin. More...
class	ipsdk::imaproc::shape::analysis::InertiaLambdaMinMsrInfo
	Information object for measure InertiaLambdaMin. More...

Detailed Description

Measure allowing to compute the minimum eigen value from the second order moment matrix computed from the Inertia2d measurement for shape.

This measure computes the minimum eigen value of the inertia matrix calculated for each shape, without taking the pixels intensities into account.

Here is an example of minimum eigen values 2d measurement :

See Inertia2d for more details about the inertia calculation.

Author

R. Abbal

Date

2015/07/31

Copyright

2015 Reactiv'IP, all right reserved.

Measure allowing to compute the minimum eigen value from the second order moment matrix computed from the Inertia2d measurement for shape

Measure synthesis :

Measure Type	Measure Unit Type	Parameter Type	Result Type	Shape Requirements
Generic	Length	None	Value (ipsdk::ipReal64)	Row Intersections

See Shape measurement for additional information on these pictograms

Measure Type :

This is a generic measure

• it does not directly use shape or image data
• it can use dependencies to other measures to compute a result (see Measure Dependencies section)

This measure can be used in 2d and 3d case

Measure Unit Type:

Measure InertiaLambdaMin is associated to a length measurement unit [ipsdk::shape::analysis::eMsrUnitFormat::eMUF_LengthUnit]

Measure Parameter Type :

Measure InertiaLambdaMin has no parameters

Measure Result Type :

Measure InertiaLambdaMin is associated to ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64> results

Measure Shape Requirements :

Measure InertiaLambdaMin requires row intersections from shape data

Measure Dependencies :

Measure InertiaLambdaMin depends on following measures :

Measure Mode	Measure Name	Measure Type	Measure Parameters
eMVP_2d	Inertia	Inertia2d
eMVP_3d	Inertia	Inertia3d

Note

See Shape Analysis 2d for more information on general shape 2d analysis and measurement usage.

See Shape Analysis 3d for more information on general shape 3d analysis and measurement usage.

Example of Python code :

Generic example in 2d case :

import PyIPSDK
import PyIPSDK.IPSDKIPLShapeAnalysis as shapeanalysis

    # Create the infoset
    inMeasureInfoSet2d = PyIPSDK.createMeasureInfoSet2d()
    PyIPSDK.createMeasureInfo(inMeasureInfoSet2d, "InertiaLambdaMinMsr")
    
    #Perform the analysis
    outMeasureSet = shapeanalysis.labelAnalysis2d(inGreyImg, inLabelImg2d, inMeasureInfoSet2d)
    
    # save results to csv format
    PyIPSDK.saveCsvMeasureFile(os.path.join(tmpPath,  "shape_analysis_results.csv"), outMeasureSet)
    
    # retrieve measure results
    outMsr = outMeasureSet.getMeasure("InertiaLambdaMinMsr")
    
    # retrieve measure values
    outMsrValues = outMsr.getMeasureResult().getColl(0)
    print("First label measurement equal " + str(outMsrValues[1]))

Generic example in 3d case :

import PyIPSDK
import PyIPSDK.IPSDKIPLShapeAnalysis as shapeanalysis

    # Create the infoset
    inMeasureInfoSet3d = PyIPSDK.createMeasureInfoSet3d()
    PyIPSDK.createMeasureInfo(inMeasureInfoSet3d, "InertiaLambdaMinMsr")
    
    #Perform the analysis
    outMeasureSet = shapeanalysis.labelAnalysis3d(inGreyImg, inLabelImg, inMeasureInfoSet3d)
    
    # save results to csv format
    PyIPSDK.saveCsvMeasureFile(os.path.join(tmpPath,  "shape_analysis_results.csv"), outMeasureSet)
    
    # retrieve measure results
    outMsr = outMeasureSet.getMeasure("InertiaLambdaMinMsr")
    
    # retrieve measure values
    outMsrValues = outMsr.getMeasureResult().getColl(0)
    print("First label measurement equal " + str(outMsrValues[1]))

Example of C++ code :

Example informations

Associated library

IPSDKIPLShapeAnalysis

Code Example

    // opening grey level input image
    ImagePtr pInGreyImg2d = loadTiffImageFile(inputGreyImgPath);

    // read entity shape 2d collection used for processing
    Shape2dCollPtr pShape2dColl = boost::make_shared<Shape2dColl>();
    readFromXmlFile(inputShape2dCollPath, *pShape2dColl);

    // define a measure info set
    MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create2dInstance();
    createMeasureInfo(pMeasureInfoSet, "InertiaLambdaMinMsr");
    
    // compute measure on shape 2d collection
    MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);

    // retrieve associated results
    const MeasureConstPtr& pInertiaLambdaMinOutMsr = pOutMeasureSet->getMeasure("InertiaLambdaMinMsr");
    const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>&>(pInertiaLambdaMinOutMsr->getMeasureResult());