measure allowing to compute average of the change in the angles of the gradient vectors around the particle circumference
This measure allows to quantified the angularity of a shape using the change in the angles of the gradient vectors around the shape boundary.
For each tops of the polygonal approximation of shape, we compute an angularity value given by :
where :
is the length of segment starting at considered top
.
is the angle of the normal vector associated to segment starting at considered top
.
Then the global shape angularity value is simply given by the normalized sum of previous values over all tops of the polygonal approximation of shape :
Here is an example of degree of angularity 2d computation on few caracteristic shapes :
- See also
- Al-Rousan, T., Masad, T., Tutumluer, E. and Pan T. (2007). Evaluation of image analysis techniques for quantifying aggregate shape characteristics.Construction and building materials21, pp. 978-990.
-
Masad, E., Al-Rousan, T., Button, J., Little, D. and Tutumluer, E. (2007). Test methods for characterizing aggregate shape, texture, and angularity. National Cooperative Highway Research Program (NCHRP) Report 555. Transportation Research Board, Washington, D.C.
-
Lees, G. (1964) A new method for determining the angularity of particles. Sedimentology, 3, pp. 2-21.
-
Taleb Al-Rousan, Eyad Masad, Erol Tutumluer, Tongyan Pan, Evaluation of image analysis techniques for quantifying aggregate shape characteristics, Construction and Building Materials 21 (2007) 978-990.
-
Tafesse Solomon, Sun Wenjuan, Fernlund Joanne, and Linbing Wang, A new image analysis technique to quantify particle angularity, Engineering Geology and Geophysics Research Group Royal Institute of Technology (KTH)
measure allowing to compute average of the change in the angles of the gradient vectors around the particle circumference
Measure synthesis :
Measure Type | Measure Unit Type | Parameter Type | Result Type | Shape Requirements |
Geometry 2d
|
Custom
|
None
|
Value (ipsdk::ipReal64)
|
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, "EdgeAngularity2dMsr")
outMeasureSet = shapeanalysis.labelAnalysis2d(inGreyImg, inLabelImg2d, inMeasureInfoSet2d)
PyIPSDK.saveCsvMeasureFile(os.path.join(tmpPath, "shape_analysis_results.csv"), outMeasureSet)
outMsr = outMeasureSet.getMeasure("EdgeAngularity2dMsr")
outMsrValues = outMsr.getMeasureResult().getColl(0)
print("First label measurement equal " + str(outMsrValues[1]))
Example of C++ code :
Example informations
Associated library
IPSDKIPLShapeAnalysis
Code Example
Shape2dCollPtr pShape2dColl = boost::make_shared<Shape2dColl>();
IPSDK_REQUIRE(readFromXmlFile(inputShape2dCollPath, *pShape2dColl) == true);
MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create2dInstance();
createMeasureInfo(pMeasureInfoSet, "GradientAngularityIndex2dMsr");
MeasureSetPtr pOutMeasureSet =
shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);
const MeasureConstPtr& pGradientAngularityIndex2dOutMsr = pOutMeasureSet->getMeasure("GradientAngularityIndex2dMsr");
const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>&>(pGradientAngularityIndex2dOutMsr->getMeasureResult());