Returns the number of connected components associated to each 2d shape.
Natively, IPSDK assigns a single connected component to each shape. However, the result of a machine learning segmentation or a manual labelization can yield to several connected components assigned to the same label value.
Natively, IPSDK assigns a single connected component to each shape / label value.
Here is an example of measurement :
Returns the number of connected components associated to each 2d shape
Measure synthesis :
Measure Type | Measure Unit Type | Parameter Type | Result Type | Shape Requirements |
Geometry 2d
|
None
|
None
|
Value (ipsdk::ipUInt64)
|
Boundary Approximation
|
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
inMeasureInfoSet2d = PyIPSDK.createMeasureInfoSet2d()
PyIPSDK.createMeasureInfo(inMeasureInfoSet2d, "NbConnectedComponents2dMsr")
outMeasureSet = shapeanalysis.labelAnalysis2d(inGreyImg, inLabelImg2d, inMeasureInfoSet2d)
PyIPSDK.saveCsvMeasureFile(os.path.join(tmpPath, "shape_analysis_results.csv"), outMeasureSet)
outMsr = outMeasureSet.getMeasure("NbConnectedComponents2dMsr")
outMsrValues = outMsr.getMeasureResult().getColl(0)
print("First label measurement equal " + str(outMsrValues[1]))
Example of C++ code :
Example informations
Associated library
IPSDKIPLShapeAnalysis
Code Example
MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create2dInstance();
createMeasureInfo(pMeasureInfoSet, "NbConnectedComponents2dMsr");
MeasureSetPtr pOutMeasureSet =
labelAnalysis2d(pInLabelImg2d, pInLabelImg2d, pMeasureInfoSet);
const MeasureConstPtr& pNbConnectedComponents2dOutMsr = pOutMeasureSet->getMeasure("NbConnectedComponents2dMsr");
const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipUInt64>&>(pNbConnectedComponents2dOutMsr->getMeasureResult());