Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance.
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#include <opencv2/ximgproc/fourier_descriptors.hpp>
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| ContourFitting (int ctr=1024, int fd=16) |
| Fit two closed curves using fourier descriptors. More details in [220] and [25].
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void | estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double &dist, bool fdContour=false) |
| Fit two closed curves using fourier descriptors. More details in [220] and [25].
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void | estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double *dist=0, bool fdContour=false) |
| Fit two closed curves using fourier descriptors. More details in [220] and [25].
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int | getCtrSize () |
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int | getFDSize () |
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void | setCtrSize (int n) |
| set number of Fourier descriptors used in estimateTransformation
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void | setFDSize (int n) |
| set number of Fourier descriptors when estimateTransformation used vector<Point>
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state.
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virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
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virtual String | getDefaultName () const |
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virtual void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage.
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virtual void | save (const String &filename) const |
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
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virtual void | write (FileStorage &fs) const |
| Stores algorithm parameters in a file storage.
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void | write (FileStorage &fs, const String &name) const |
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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
◆ ContourFitting()
cv::ximgproc::ContourFitting::ContourFitting |
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int |
ctr = 1024 , |
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int |
fd = 16 |
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inline |
Fit two closed curves using fourier descriptors. More details in [220] and [25].
- Parameters
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ctr | number of Fourier descriptors equal to number of contour points after resampling. |
fd | Contour defining second shape (Target). |
◆ estimateTransformation() [1/2]
void cv::ximgproc::ContourFitting::estimateTransformation |
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InputArray |
src, |
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InputArray |
dst, |
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OutputArray |
alphaPhiST, |
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double & |
dist, |
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bool |
fdContour = false |
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Python: |
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| cv.ximgproc.ContourFitting.estimateTransformation( | src, dst[, alphaPhiST[, fdContour]] | ) -> | alphaPhiST, dist |
Fit two closed curves using fourier descriptors. More details in [220] and [25].
- Parameters
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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() [2/2]
void cv::ximgproc::ContourFitting::estimateTransformation |
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InputArray |
src, |
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InputArray |
dst, |
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OutputArray |
alphaPhiST, |
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double * |
dist = 0 , |
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bool |
fdContour = false |
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Python: |
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| cv.ximgproc.ContourFitting.estimateTransformation( | src, dst[, alphaPhiST[, fdContour]] | ) -> | alphaPhiST, dist |
Fit two closed curves using fourier descriptors. More details in [220] and [25].
- Parameters
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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. |
◆ getCtrSize()
int cv::ximgproc::ContourFitting::getCtrSize |
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inline |
Python: |
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| cv.ximgproc.ContourFitting.getCtrSize( | | ) -> | retval |
- Returns
- number of fourier descriptors
◆ getFDSize()
int cv::ximgproc::ContourFitting::getFDSize |
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inline |
Python: |
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| cv.ximgproc.ContourFitting.getFDSize( | | ) -> | retval |
- Returns
- number of fourier descriptors used for optimal curve matching
◆ setCtrSize()
void cv::ximgproc::ContourFitting::setCtrSize |
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int |
n | ) |
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Python: |
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| cv.ximgproc.ContourFitting.setCtrSize( | n | ) -> | None |
set number of Fourier descriptors used in estimateTransformation
- Parameters
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n | number of Fourier descriptors equal to number of contour points after resampling. |
◆ setFDSize()
void cv::ximgproc::ContourFitting::setFDSize |
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int |
n | ) |
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Python: |
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| cv.ximgproc.ContourFitting.setFDSize( | n | ) -> | None |
set number of Fourier descriptors when estimateTransformation used vector<Point>
- Parameters
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n | number of fourier descriptors used for optimal curve matching. |
The documentation for this class was generated from the following file: