IPSDK  4_1_0_2
IPSDK : Image Processing Software Development Kit
Classes | Functions

Measure allowing to get the number of shapes equivalent to the shape with minimum area. More...

Classes

class  ipsdk::imaproc::shape::analysis::RelativeSizeMsr
 Measurement object for measure RelativeSize. More...
 
class  ipsdk::imaproc::shape::analysis::RelativeSizeMsrInfo
 Information object for measure RelativeSize. More...
 
class  ipsdk::imaproc::shape::analysis::RelativeSizeMsrParams
 Parameter object for measure RelativeSize. More...
 

Functions

IPSDKIPLSHAPEANALYSIS_API RelativeSizeMsrParamsPtr ipsdk::imaproc::shape::analysis::createRelativeSizeMsrParams (const eRelativeSizePolicy &relativeSizePolicy)
 function allowing to create a new parameter object for RelativeSize measure
 
IPSDKIPLSHAPEANALYSIS_API RelativeSizeMsrParamsPtr ipsdk::imaproc::shape::analysis::createRelativeSizeMsrParams (ipsdk::ipBool bProcessHoles, const eRelativeSizePolicy &relativeSizePolicy)
 [Deprecated] function allowing to create a new parameter object for RelativeSize measure bProcessHoles is ignored
 

Detailed Description

Measure allowing to get the number of shapes equivalent to the shape with minimum area.

RelativeSize measure computes the number of shapes with the minimum area contained in each shape of the image. For a given 2d shape $ Shape $, the relative size $ R $ is computed as follows :

\[ R = \left\lfloor \frac{Area(Shape)}{\min\limits_{S \in \Omega} \left( Area(S) \right)} \right\rfloor \]

Where $ \Omega $ is the shapes collection and $ Area(S) $ computes the area of the 2d shape $ S $.

The 3d relative size is computed with :

\[ R = \left\lfloor \frac{Volume(Shape)}{\min\limits_{S \in \Omega} \left( Volume(S) \right)} \right\rfloor \]

Where $ Volume(S) $ computes the volume of the 3d shape $ S $.

The following figure illustrates the result of this measure on a simple example :

relativeSizeMsr_illustration.png

Here is an example of relative size measurement :

relativeSizeMsr.png
Author
R. Abbal
Date
2015/07/22

Measure allowing to get the number of shapes equivalent to the shape with minimum area

Measure synthesis :

Measure Type Measure Unit Type Parameter Type Result Type Shape Requirements
Generic.png
Generic
none.png
None
parameter.png
RelativeSizeMsrParams
Value.png
Value (ipsdk::ipReal64)
RowIntersections.png
Row Intersections
See Shape measurement for additional information on these pictograms

Measure Type :

This is a generic measure

This measure can be used in 2d and 3d case

Measure Unit Type:

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

Measure Parameter Type :

Measure RelativeSize is associated to RelativeSizeMsrParams parameters

Measure Result Type :

Measure RelativeSize is associated to ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64> results

Measure Shape Requirements :

Measure RelativeSize requires row intersections from shape data

Measure Dependencies :

Measure RelativeSize depends on following measures :

Measure Mode Measure Name Measure Type Measure Parameters
eMVP_2d Volume Area2d
eMVP_3d Volume Volume3d
Note
See Shape Analysis 2d for more information on general shape 2d analysis and measurement usage.
See Shape Analysis 3d for more information on general shape 3d analysis and measurement usage.

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, "RelativeSizeMsr")
#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("RelativeSizeMsr")
# 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, "RelativeSizeMsr")
#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("RelativeSizeMsr")
# 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();
createMeasureInfo(pMeasureInfoSet, "RelativeSizeMsr", createRelativeSizeMsrParams(bProcessHoles, eRelativeSizePolicy::eRSP_Min));
// compute measure on shape 2d collection
MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);
// retrieve associated results
const MeasureConstPtr& pRelativeSizeOutMsr = pOutMeasureSet->getMeasure("RelativeSizeMsr");
const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>&>(pRelativeSizeOutMsr->getMeasureResult());