Package org.opencv.ximgproc

Class ContourFitting

  • 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

    • Constructor Detail

      • ContourFitting

        protected ContourFitting​(long addr)

    • Method Detail

      • __fromPtr__

        public static ContourFitting __fromPtr__​(long addr)

      • 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 center
        dist - distance between src and dst after matching.
        fdContour - false then src and dst are contours and true src and dst are fourier descriptors.

      • 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 center
        dist - distance between src and dst after matching.

      • 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.

      • 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.

      • getCtrSize

        public int getCtrSize()
        Returns:
        number of fourier descriptors

      • getFDSize

        public int getFDSize()
        Returns:
        number of fourier descriptors used for optimal curve matching

      • finalize

        protected void finalize()
                 throws java.lang.Throwable
        Overrides:
        finalize in class Algorithm
        Throws:
        java.lang.Throwable