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

pub trait StructuredEdgeDetection: AlgorithmTrait {
    pub fn as_raw_StructuredEdgeDetection(&self) -> *const c_void;

    pub fn as_raw_mut_StructuredEdgeDetection(&mut self) -> *mut c_void;

    pub fn detect_edges(
        &self, 
        _src: &dyn ToInputArray, 
        _dst: &mut dyn ToOutputArray
    ) -> Result<()> { ... }

    pub fn compute_orientation(
        &self, 
        _src: &dyn ToInputArray, 
        _dst: &mut dyn ToOutputArray
    ) -> Result<()> { ... }

    pub fn edges_nms(
        &self, 
        edge_image: &dyn ToInputArray, 
        orientation_image: &dyn ToInputArray, 
        _dst: &mut dyn ToOutputArray, 
        r: i32, 
        s: i32, 
        m: f32, 
        is_parallel: bool
    ) -> Result<()> { ... }
}

Class implementing edge detection algorithm from Dollar2013 :

Required methods

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

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

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Provided methods

pub fn detect_edges(
    &self,
    _src: &dyn ToInputArray,
    _dst: &mut dyn ToOutputArray
) -> Result<()>[src]

The function detects edges in src and draw them to dst.

The algorithm underlies this function is much more robust to texture presence, than common approaches, e.g. Sobel

Parameters

  • _src: source image (RGB, float, in [0;1]) to detect edges
  • _dst: destination image (grayscale, float, in [0;1]) where edges are drawn

See also

Sobel, Canny

pub fn compute_orientation(
    &self,
    _src: &dyn ToInputArray,
    _dst: &mut dyn ToOutputArray
) -> Result<()>[src]

The function computes orientation from edge image.

Parameters

  • _src: edge image.
  • _dst: orientation image.

pub fn edges_nms(
    &self,
    edge_image: &dyn ToInputArray,
    orientation_image: &dyn ToInputArray,
    _dst: &mut dyn ToOutputArray,
    r: i32,
    s: i32,
    m: f32,
    is_parallel: bool
) -> Result<()>[src]

The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.

Parameters

  • edge_image: edge image from detectEdges function.
  • orientation_image: orientation image from computeOrientation function.
  • _dst: suppressed image (grayscale, float, in [0;1])
  • r: radius for NMS suppression.
  • s: radius for boundary suppression.
  • m: multiplier for conservative suppression.
  • isParallel: enables/disables parallel computing.

C++ default parameters

  • r: 2
  • s: 0
  • m: 1
  • is_parallel: true
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Implementors

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