[−][src]Trait opencv::prelude::ContourFittingTrait

pub trait ContourFittingTrait: AlgorithmTrait {
    pub fn as_raw_ContourFitting(&self) -> *const c_void;
    pub fn as_raw_mut_ContourFitting(&mut self) -> *mut c_void;

    pub fn estimate_transformation(
        &mut self, 
        src: &dyn ToInputArray, 
        dst: &dyn ToInputArray, 
        alpha_phi_st: &mut dyn ToOutputArray, 
        dist: &mut f64, 
        fd_contour: bool
    ) -> Result<()> { ... }
    pub fn estimate_transformation_1(
        &mut self, 
        src: &dyn ToInputArray, 
        dst: &dyn ToInputArray, 
        alpha_phi_st: &mut dyn ToOutputArray, 
        dist: &mut f64, 
        fd_contour: bool
    ) -> Result<()> { ... }
    pub fn set_ctr_size(&mut self, n: i32) -> Result<()> { ... }
    pub fn set_fd_size(&mut self, n: i32) -> Result<()> { ... }
    pub fn get_ctr_size(&mut self) -> Result<i32> { ... }
    pub fn get_fd_size(&mut self) -> Result<i32> { ... }
}

Class for ContourFitting algorithms. ContourFitting match two contours $inline formula$ and $inline formula$ minimizing distance $block formula$ where $inline formula$ and $inline formula$ are Fourier descriptors of $inline formula$ and $inline formula$ and s is a scaling factor and $inline formula$ is angle rotation and $inline formula$ is starting point factor adjustement

Required methods

`pub fn as_raw_ContourFitting(&self) -> *const c_void`[src]

`pub fn as_raw_mut_ContourFitting(&mut self) -> *mut c_void`[src]

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Provided methods

`pub fn estimate_transformation( &mut self, src: &dyn ToInputArray, dst: &dyn ToInputArray, alpha_phi_st: &mut dyn ToOutputArray, dist: &mut f64, fd_contour: bool ) -> Result<()>`[src]

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

Parameters

src: Contour defining first shape.
dst: Contour defining second shape (Target).
alphaPhiST: : $inline formula$ =alphaPhiST(0,0), $inline formula$ =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.

C++ default parameters

dist: 0
fd_contour: false

`pub fn estimate_transformation_1( &mut self, src: &dyn ToInputArray, dst: &dyn ToInputArray, alpha_phi_st: &mut dyn ToOutputArray, dist: &mut f64, fd_contour: bool ) -> Result<()>`[src]

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

Parameters

src: Contour defining first shape.
dst: Contour defining second shape (Target).
alphaPhiST: : $inline formula$ =alphaPhiST(0,0), $inline formula$ =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.