IPSDK 0.2
IPSDK : Image Processing Software Development Kit

out of roundness highest peak given measure reference ball

This measure allows to retrieve roundness peak which is the highest positive value associated to roundness measure (see [Concept] Roundness 2d in 2d case and [Concept] Roundness 3d in 3d case).

Here is an example of roundness peak computation in 2d case :

roundnessPeak.png

out of roundness highest peak given measure reference ball

Measure synthesis :

Measure Type Measure Unit Type Parameter Type Result Type Shape Requirements
Generic.png
Generic
length.png
Length
parameter.png
RoundnessPeakMsrParams
Value.png
Value (ipsdk::ipReal64)
BoundaryApproximation.png
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
# Create the infoset
inMeasureInfoSet2d = PyIPSDK.createMeasureInfoSet2d()
PyIPSDK.createMeasureInfo(inMeasureInfoSet2d, "RoundnessPeakMsr")
#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("RoundnessPeakMsr")
# 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, "RoundnessPeakMsr")
#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("RoundnessPeakMsr")
# 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();
EstimationConfig config;
config.initNonRobust();
createMeasureInfo(pMeasureInfoSet, "RoundnessPeakMsr", createRoundnessMsrParams(config));
// compute measure on shape 2d collection
MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);
// retrieve associated results
const MeasureConstPtr& pRoundnessPeakOutMsr = pOutMeasureSet->getMeasure("RoundnessPeakMsr");
const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>&>(pRoundnessPeakOutMsr->getMeasureResult());