NbPixels3d

Number of voxels in shape 3d measurement. More...

Classes
class	ipsdk::imaproc::shape::analysis::NbPixels3dMsr
	Measurement object for measure NbPixels3d. More...
class	ipsdk::imaproc::shape::analysis::NbPixels3dMsrInfo
	Information object for measure NbPixels3d. More...

Detailed Description

Number of voxels in shape 3d measurement.

NbPixels3d measure simply count number of voxels associated to a 3d shape.

Note that shape 3d volume and number of voxels may differ since the volume is computed with respect to a given polyhedral approximation while the number of voxels only takes care of initial image binary shape.

Here is an example of number of voxels measurement :

Author

H. Delestre

Date

2016/02/25

Copyright

2016 Reactiv'IP, all right reserved.

Number of pixels in shape 3d measurement

Measure synthesis :

Measure Type	Measure Unit Type	Parameter Type	Result Type	Shape Requirements
Geometry 3d	None	None	Value (ipsdk::ipUInt64)	Row Intersections

See Shape measurement for additional information on these pictograms

Measure Type :

This is a geometry 3d measure

• it use shape 3d data to compute a result
• it optionally can use dependencies to other measures to compute a result (see Measure Dependencies section)

This measure can only be used in 3d case

Measure Unit Type:

Measure NbPixels3d is not associated to any unit [ipsdk::shape::analysis::eMsrUnitFormat::eMUF_NoUnit]

Measure Parameter Type :

Measure NbPixels3d has no parameters

Measure Result Type :

Measure NbPixels3d is associated to ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt64> results

Measure Shape Requirements :

Measure NbPixels3d requires row intersections from shape data

Measure Dependencies :

Measure NbPixels3d has no dependency

Note

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

Example of Python code :

Generic example in 3d case :

import PyIPSDK
import PyIPSDK.IPSDKIPLShapeAnalysis as shapeanalysis

    # Create the infoset
    inMeasureInfoSet3d = PyIPSDK.createMeasureInfoSet3d()
    PyIPSDK.createMeasureInfo(inMeasureInfoSet3d, "NbPixels3dMsr")
    
    #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("NbPixels3dMsr")
    
    # 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 pInGreyImg3d = loadTiffImageFile(inputGreyImgPath, eTiffDirectoryMode::eTDM_Volume);

    // read entity shape 3d collection used for processing
    Shape3dCollPtr pShape3dColl = boost::make_shared<Shape3dColl>();
    readFromBinaryFile(inputShape3dCollPath, *pShape3dColl);

    // define a measure info set
    MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create3dInstance();
    BoolResult bCreateNbPixels3dMsr = pMeasureInfoSet->createMeasureInfo("NbPixels3dMsr");
    IPSDK_REQUIRE_MESSAGE(bCreateNbPixels3dMsr == true, bCreateNbPixels3dMsr.getMsg());

    // compute measure on shape 3d collection
    MeasureSetPtr pOutMeasureSet = shapeAnalysis3d(pInGreyImg3d, pShape3dColl, pMeasureInfoSet);

    // retrieve associated results
    const MeasureConstPtr& pNbPixels3dOutMsr = pOutMeasureSet->getMeasure("NbPixels3dMsr");
    const ValueMeasureResult<ipUInt64>& outResults = static_cast<const ValueMeasureResult<ipUInt64>&>(pNbPixels3dOutMsr->getMeasureResult());