Trait opencv::prelude::StructuredEdgeDetectionConst

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pub trait StructuredEdgeDetectionConst: AlgorithmTraitConst {
    // Required method
    fn as_raw_StructuredEdgeDetection(&self) -> *const c_void;

    // Provided methods
    fn detect_edges(
        &self,
        src: &dyn ToInputArray,
        dst: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    fn compute_orientation(
        &self,
        src: &dyn ToInputArray,
        dst: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    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<()> { ... }
}
Expand description

Constant methods for crate::ximgproc::StructuredEdgeDetection

Required Methods§

source

fn as_raw_StructuredEdgeDetection(&self) -> *const c_void

Provided Methods§

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fn detect_edges( &self, src: &dyn ToInputArray, dst: &mut dyn ToOutputArray ) -> Result<()>

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

source

fn compute_orientation( &self, src: &dyn ToInputArray, dst: &mut dyn ToOutputArray ) -> Result<()>

The function computes orientation from edge image.

Parameters
  • src: edge image.
  • dst: orientation image.
source

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<()>

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

Implementors§