HistogramMostPopulatedGLSee full documentation

Compute the intensity of the most populated class.

HistogramMostPopulatedGL computes, for given histogram parameters (bin width or number of classes, and the way to determine histogram minimal and maximal intensities), the mean grey level associated to the most populated class in the histogram computed on the shape.

Here is an example of histogram most populated grey level measurement in 2d case :

Compute the intensity of the most populated class

Measure synthesis :

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

See Shape measurement for additional information on these pictograms

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, "HistogramMostPopulatedGLMsr")
    
    #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("HistogramMostPopulatedGLMsr")
    
    # 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, "HistogramMostPopulatedGLMsr")
    
    #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("HistogramMostPopulatedGLMsr")
    
    # 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();

    HistogramMostPopulatedGLMsrParamsPtr pParams;
    switch(minMaxDef.value()) {
    case eMinMaxDefinition::eMMD_ImgMinMax:
        case eMinMaxDefinition::eMMD_ShapeMinMax:
        pParams = createHistogramMostPopulatedGLMsrParamsBinWidth(1.0);
        break;
    case eMinMaxDefinition::eMMD_UserDefinedMinMax:
        pParams = createHistogramMostPopulatedGLMsrParamsBinWidth(1.0, fMin.get(), fMax.get());
        break;
    }
    createMeasureInfo(pMeasureInfoSet, "HistogramMostPopulatedGLMsr", pParams);
    
    // compute measure on shape 2d collection
    MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);

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