Package org.opencv.ximgproc
Class ContourFitting
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.ximgproc.ContourFitting
 
 
 
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public class ContourFitting extends Algorithm
Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance \( d(z_a,z_b)=\sum (a_n - s b_n e^{j(n \alpha +\phi )})^2 \) where \( a_n \) and \( b_n \) are Fourier descriptors of \( z_a \) and \( z_b \) and s is a scaling factor and \( \phi \) is angle rotation and \( \alpha \) is starting point factor adjustement 
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Constructor Summary
Constructors Modifier Constructor Description protectedContourFitting(long addr) 
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static ContourFitting__fromPtr__(long addr)voidestimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist)Fit two closed curves using fourier descriptors.voidestimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist, boolean fdContour)Fit two closed curves using fourier descriptors.protected voidfinalize()intgetCtrSize()intgetFDSize()voidsetCtrSize(int n)set number of Fourier descriptors used in estimateTransformationvoidsetFDSize(int n)set number of Fourier descriptors when estimateTransformation used vector<Point>- 
Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save 
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Method Detail
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__fromPtr__
public static ContourFitting __fromPtr__(long addr)
 
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getCtrSize
public int getCtrSize()
- Returns:
 - number of fourier descriptors
 
 
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getFDSize
public int getFDSize()
- Returns:
 - number of fourier descriptors used for optimal curve matching
 
 
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estimateTransformation
public void estimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist, boolean fdContour)
Fit two closed curves using fourier descriptors. More details in CITE: PersoonFu1977 and CITE: BergerRaghunathan1998- Parameters:
 src- Contour defining first shape.dst- Contour defining second shape (Target).alphaPhiST- : \( \alpha \)=alphaPhiST(0,0), \( \phi \)=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation centerdist- distance between src and dst after matching.fdContour- false then src and dst are contours and true src and dst are fourier descriptors.
 
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estimateTransformation
public void estimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist)
Fit two closed curves using fourier descriptors. More details in CITE: PersoonFu1977 and CITE: BergerRaghunathan1998- Parameters:
 src- Contour defining first shape.dst- Contour defining second shape (Target).alphaPhiST- : \( \alpha \)=alphaPhiST(0,0), \( \phi \)=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation centerdist- distance between src and dst after matching.
 
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setCtrSize
public void setCtrSize(int n)
set number of Fourier descriptors used in estimateTransformation- Parameters:
 n- number of Fourier descriptors equal to number of contour points after resampling.
 
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setFDSize
public void setFDSize(int n)
set number of Fourier descriptors when estimateTransformation used vector<Point>- Parameters:
 n- number of fourier descriptors used for optimal curve matching.
 
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