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 protected
ContourFitting(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)
void
estimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist)
Fit two closed curves using fourier descriptors.void
estimateTransformation(Mat src, Mat dst, Mat alphaPhiST, double[] dist, boolean fdContour)
Fit two closed curves using fourier descriptors.protected void
finalize()
int
getCtrSize()
int
getFDSize()
void
setCtrSize(int n)
set number of Fourier descriptors used in estimateTransformationvoid
setFDSize(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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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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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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