Skeleton2dNbVertex

Number of vertex in graph associated to skeleton 2d. More...

Classes
class	ipsdk::imaproc::shape::analysis::Skeleton2dNbVertexMsr
	Measurement object for measure Skeleton2dNbVertex. More...
class	ipsdk::imaproc::shape::analysis::Skeleton2dNbVertexMsrInfo
	Information object for measure Skeleton2dNbVertex. More...
class	ipsdk::imaproc::shape::analysis::Skeleton2dNbVertexMsrParams
	Parameter object for measure Skeleton2dNbVertex. More...

Detailed Description

Number of vertex in graph associated to skeleton 2d.

Skeleton 2d number of vertex measure is based on skeleton 2d measure (see [Concept] Skeleton 2d). This measure allows to count number of vertices composing a shape 2d skeleton.

Searched vertex type can be customized (setting measure parameter ipsdk::geom::eSkeletonVertexCategory) :

• eSVC_Internal for internal vertex without leaf connection
  
• eSVC_Junction for vertex connected at least to three other vertices (in most of cases this parameter give equivalent results to eSVC_Internal parameter)
  
• eSVC_Slab for vertex connected exactly to two other vertices
  
• eSVC_EndPoint for vertex connected exactly to one other vertice
  
• eSVC_All for all vertices without exception

Note

Note that measure results depend on skeleton 2d holes processing policy See [Concept] Skeleton 2d for more informations on usage of ipsdk::shape::segmentation::eSkeleton2dHolesPolicy enumerate value. If holes processing policy is set to eSHP_ExtractedAndAnalyzed, holes skeleton vertices are added to main shape skeleton vertices count.

Here is an example of measure results for different skeleton 2d holes processing policy and different searched vertex types.

Author

E.Noirfalise

Date

2016/08/22

Copyright

2016 Reactiv'IP, all right reserved.

Number of vertex in graph associated to skeleton 2d

Measure synthesis :

Measure Type	Measure Unit Type	Parameter Type	Result Type	Shape Requirements
Generic	None	Skeleton2dNbVertexMsrParams	Value (ipsdk::ipUInt32)	Boundary Approximation

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 only be used in 2d case

Measure Unit Type:

Measure Skeleton2dNbVertex is not associated to any unit [ipsdk::shape::analysis::eMsrUnitFormat::eMUF_NoUnit]

Measure Parameter Type :

Measure Skeleton2dNbVertex is associated to Skeleton2dNbVertexMsrParams parameters

Measure Result Type :

Measure Skeleton2dNbVertex is associated to ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt32> results

Measure Shape Requirements :

Measure Skeleton2dNbVertex requires boundary approximation from shape data

Measure Dependencies :

Measure Skeleton2dNbVertex depends on following measures :

Measure Mode	Measure Name	Measure Type	Measure Parameters
eMVP_2d	Skeleton	Skeleton2d	createSkeleton2dMsrParams(_pMsrParams->getValue<Skeleton2dNbVertexMsrParams::HolesPolicy>())

Note

See Shape Analysis 2d for more information on general shape 2d 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.createGeometricCalibration2d(1,1,'px'))
    PyIPSDK.createMeasureInfo(inMeasureInfoSet2d, "Skeleton2dNbVertexMsr", shapeanalysis.createSkeleton2dNbVertexMsrParams(PyIPSDK.eSHP_Ignored, PyIPSDK.eSVC_All))
    
    #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("Skeleton2dNbVertexMsr")
    
    # 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>();
    IPSDK_REQUIRE(readFromXmlFile(inputShape2dCollPath, *pShape2dColl) == true);

    // define a measure info set
    MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create2dInstance();
    createMeasureInfo(pMeasureInfoSet, "Skeleton2dNbVertexMsr", createSkeleton2dNbVertexMsrParams(skeleton2dHolesPolicy, skeletonVertexCategory));
    
    // compute measure on shape 2d collection
    MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);

    // retrieve associated results
    const MeasureConstPtr& pSkeleton2dNbVertexOutMsr = pOutMeasureSet->getMeasure("Skeleton2dNbVertexMsr");
    const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt32>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt32>&>(pSkeleton2dNbVertexOutMsr->getMeasureResult());