IPSDK  4_1_0_2
IPSDK : Image Processing Software Development Kit
Classes

Computes the distance between Hu moments of shapes in an image and and a template's Hu moments. More...

Classes

class  ipsdk::imaproc::shape::analysis::HuDistance2dMsr
 Measurement object for measure HuDistance2d. More...
 
class  ipsdk::imaproc::shape::analysis::HuDistance2dMsrInfo
 Information object for measure HuDistance2d. More...
 
class  ipsdk::imaproc::shape::analysis::HuDistance2dMsrParams
 Parameter object for measure HuDistance2d. More...
 

Detailed Description

Computes the distance between Hu moments of shapes in an image and and a template's Hu moments.

This measure computes the distance between the Hu moment invariants of a reference shape and the Hu invariants of each shape. Three distances are available:

\begin{eqnarray*} d_1(A, B) & = & \sum_{i = 1}^{7}{\left| \frac{1}{m_i^A} - \frac{1}{m_i^B} \right|}\\ d_2(A, B) & = & \sum_{i = 1}^{7}{\left| m_i^A - m_i^B \right|}\\ d_3(A, B) & = & \max_{i = 1}^{7}{\frac{\left| m_i^A - m_i^B \right|}{\left| m_i^A \right|}} \end{eqnarray*}

These distances are also used by the openCV matchShapes function (http://docs.opencv.org/2.4.13.2/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#matchshapes).

Here is an example of Hu moments distance measurement in 2d case with the distance type $d_3$ and without processing holes :

huDistance2dMsr.png

See also HuMoments2d.

Author
R. Abbal
Date
2017/06/06

Computes the distance between Hu moments of shapes in an image and and a template's Hu moments

Measure synthesis :

Measure Type Measure Unit Type Parameter Type Result Type Shape Requirements
Geometry2d.png
Geometry 2d
none.png
None
parameter.png
HuDistance2dMsrParams
Value.png
Value (ipsdk::ipReal64)
BoundaryApproximation.png
Boundary Approximation
See Shape measurement for additional information on these pictograms

Measure Type :

This is a geometry 2d measure

This measure can only be used in 2d case

Measure Unit Type:

Measure HuDistance2d is not associated to any unit [ipsdk::shape::analysis::eMsrUnitFormat::eMUF_NoUnit]

Measure Parameter Type :

Measure HuDistance2d is associated to HuDistance2dMsrParams parameters

Measure Result Type :

Measure HuDistance2d is associated to ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64> results

Measure Shape Requirements :

Measure HuDistance2d requires boundary approximation from shape data

Measure Dependencies :

Measure HuDistance2d depends on following measures :

Measure Mode Measure Name Measure Type Measure Parameters
eMVP_2d HuMoments2d HuMoments2d createHolesBasicPolicyMsrParams(_pMsrParams->getValue<HuDistance2dMsrParams::ProcessHoles>())
Note
See Shape Analysis 2d for more information on general shape 2d 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, "HuDistance2dMsr")
#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("HuDistance2dMsr")
# 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);
// For the example, the reference shape is the first shape in the input image
Shape2dPtr pRefShape2d = pShape2dColl->getColl()[1];
// define a measure info set
MeasureInfoSetPtr pMeasureInfoSet = MeasureInfoSet::create2dInstance();
createMeasureInfo(pMeasureInfoSet, "HuDistance2dMsr", createHuDistance2dMsrParams(*pRefShape2d, bProcessHoles, distType));
// compute measure on shape 2d collection
MeasureSetPtr pOutMeasureSet = shapeAnalysis2d(pInGreyImg2d, pShape2dColl, pMeasureInfoSet);
// retrieve associated results
const MeasureConstPtr& pHuDistance2dOutMsr = pOutMeasureSet->getMeasure("HuDistance2dMsr");
const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>& outResults = static_cast<const ipsdk::shape::analysis::ValueMeasureResult<ipsdk::ipReal64>&>(pHuDistance2dOutMsr->getMeasureResult());